Courses

Adaptive and Evolutionary Algorithms
COD Workload Description
9440S-03 45 To follow are the topics this course will address: Wiener filter, linear prediction, artificial neural networks, steepest descent algorithms, LMS, bussgang, back-propagation, radial basis functions networks, analysis of main components, self-organized map, Hopfield networks, genetic algorithms, fuzzy logic.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Advanced Topics in Electrical Engineering I
COD Workload Description
04401-03 45 This course will address methodologies and software for automatic projects involving integrated circuits and digital systems, such as Application-Specific Integrated Circuit (ASIC) and Systems-on-Chip (SoCs) in both a basic and advanced method. In this sense, the following topics will be addressed: 1. Introduction to integrated circuits projects and digital systems: main challenges and technological connections, market connections and project flow; 2. Modeling of integrated circuits and digital systems: formalism and representation of logical functions and hardware description language (VHDL or Verilog); 3. Project principles: behavioral synthesis, logic synthesis and interaction with the physical level; 4. Low energy consumption project: Power analysis (models and estimations), optimization at a behavioral, logic and physical level; 5. Introduction to tools for integrated circuits projects and digital systems: synthesis, floorplan, placement and routing.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Advanced Topics in Electrical Engineering II
COD Workload Description
04402-03 45 To follow are the topics this course will address: 1 - Differential and integral Maxwell's equations; 2 - Basic concepts of electrical grounding; 3 - Characterization of soil in low and high frequency; 4 - Electrical Grounding Measurement, Resistance and Impedance; 5 - Calculation methods for electrical grounding in low and high frequency; 6 - Electrical grounding for electrical engineering quality; 7 - Grounding in continuous current; 8 - Case studies.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Advanced Topics in Electrical Engineering III
COD Workload Description
04438-03 45 This course is mainly intended to present electronic systems projects with emphasis on the stages validation and testing methodologies. The electronic systems projects will be looked at in greater detail in all its stages: specification, implementation, validation and evaluation.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Advanced Topics in Electrical Engineering IV
COD Workload Description
04439-03 45 This course is intended to introduce and discuss the biomedical equipment employed in the diagnosis and treatment of several clinical conditions.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Advanced Topics in Electrical Engineering V
COD Workload Description
04440-03 45 To follow are of the topics this course will address: Artificial Neural Networks, Fuzzy Logic and Genetic Algorithms ¿ Theory and Applications.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Antennas and Adaptive Arrays
COD Workload Description
9441P-03 45 To follow is a list of topics this course will address: Phased arrays, near field coupling, beamforming, estimation of DOA (Direction of Arrival), adaptive algorithms for array control, simulation and analysis of arrays via FDTD (Finite Difference Time Domain), algorithms, arrays broadband.
Professors Home time Lattes
FERNANDO CESAR COMPARSI DE CASTRO 35 years and 4 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Biomechanics
COD Workload Description
9442B-03 45 Study of biomechanical research techniques: kinetics, kinematics and electromyography, through a theoretical-practical approach in the laboratory. Study of muscle architecture in vivo and muscular mechanical properties. Analysis of surface electromyography.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Biomedical Instrumentation
COD Workload Description
9441H-03 45 To follow is a list of topics this course will address: Biomedical signs, their origins and characteristics; Resting, action and synaptic potentials; Electric circuits models: Hodgkin-Huxley model; Propagation and capture of electrical activity; ECG, EEG and EMG signals, pressure and flow; Sensors, transducers, bridges, pre-amplifiers, amplifiers, filters, A/D and D/A converters; Therapeutic and prosthetic devices: defibrilators, peacemakers, electrical stimulators for neuromuscular rehabilitation; Electrical safety, noise and armoring.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Computational Modeling for Embedded Systems
COD Workload Description
54689-02 30 To follow are some of the topics this course will address: Definition of embedded systems; Definition of real-time embedded systems; Definition of computational models; Definition of partitioning and mapping; Analysis of project requisites for embedded systems; Assessment of performance and application o quality of service (QoS) with computational models.
No offer for current semester
Concentration area Type Obligatoriness
Computer Science Master's Don't Required
Computer Science Doctorate Don't Required
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Bioinformatics and Bio-inspired Computation To follow are some of the topics this line of research will cover: Bioinformatics; Structural Bioinformatics; Biomathematics; Modeling and Simulation of Biological and Molecular Processes; Methods and Algorithms for Protein 3D Structure Prediction; Molecular Docking; Molecular Dynamics; Computer-assisted Drug Design; Visualization in Modeling and Simulation; Data Mining in Bioinformatics.
Parallel and Distributed Processing Parallel and Distributed Processing; Parallel Architectures; Operating Systems; Computer Networks; Formal Specification and Verification of Distributed Systems; Systems Performance Evaluation; Stochastic Modeling; Fault-Tolerance; Fault Detection; Fault Injection; Theoretical Models for Fault-Tolerance; Computer Systems Security; Cryptography; Cloud Computing; Grid Computing; Virtualization; IT Infrastructure Management; High Performance Computing; Parallel Algorithms; Parallel Programming Paradigms; Parallel Programming Environments; Scheduling; Modeling of Parallel Applications; Green Computing;
Software Engineering and Databases Software Development Process; Software Project Management; Software Engineering for Multi-agent Systems; Ontology-Based Software Development; Software Quality; Software Testing; Software Modeling; Distributed Software Development; Agile Methodologies for Software Development; Experimental Software Engineering; Software Product Line; Software Reuse; Integration between IHC Techniques and Software Engineering; User Interface Assessment and Design Techniques; User eXperience; Knowledge-discovery in Databases; Data Mining; Data Warehousing; Active and Temporal Databases; Modeling and Control of Business Processes; Scientific Workflow Systems.
Computer Graphics, Image Processing, Virtual Reality and Computer Human Interaction To follow are some of the topics this line of research will cover: Human-Computer Interaction; Quality in the Use of Interactive Systems (Accessibility, Communicability, and Usability); Assessment Techniques and User Interface Design; Social Interactions; Multimodal Interaction; Interaction in Virtual Environments; Assistive Technology; Data Visualization; Image Processing; Computer Vision; Medical Imaging; Computer Graphics Applications; Virtual Reality; Crowd Simulation; Virtual Humans Simulation; Computer Facial Animation; Algorithms Applied to Real-Time Games and Simulations.
Computational Intelligence Intelligent Agents; Agent-Oriented Programming Languages; Cognitive Agents; Automatic Planning; Probabilistic Planning; Autonomous Reasoning; Semantic Computing; Knowledge Representation; Ontologies; Context-aware Computing; Semantic Web; Ontology Learning; Natural Language Processing; Textual Information Extraction; Text Data Mining, Generation of Multilingual Linguistic Resources; Multi-agent Systems; Normative Systems; Agent Communication; Formal Verification of Multi-agent Systems; Applications of Intelligent Systems; Robotics; Ubiquitous Computing; Urban Mobility; Intelligent Electricity Networks; Sentiment Analysis; Profile and Health Analysis.
Embedded Systems and Digital Systems Embedded Systems; Software Project for Embedded Systems; Embedded Operating Systems; Real-Time Systems; Virtualization of Embedded Systems; Middleware for Embedded Systems; RFID; Wireless Sensor Networks; Architecture of Embedded Microprocessors; Microelectronics; Integrated Circuits Project; Intra-chip Communication; Intra-chip Multiprocessing (Multi-core, MPSoC); Intra-chip Networks, Hardware Description Language; FPGA Prototyping; VLSI Project Aiming ASICs; Functional Verification of VLSI Systems; VLSI System Testing; Hardware Reliability; Hardware for Critical Applications; Hardware Applied to Robotics; Asynchronous Circuits and Systems/GALS; Non-synchronous System Project; Synchronizers; Modeling of Embedded Systems; Models of Computation (MoCs); Programming Languages for the Implementation of MoCs, Telecommunication Applications.
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Computer Architecture and Organization
COD Workload Description
9441M-03 45 This course is intended to provide training and produce researchers in the area of computer engineering, so that they can understand the advanced operation of computer systems (hardware and software), thus being able to design projects using these complex systems through the integration of the several parts that comprise it. The concept of ¿computer systems¿ includes those comprising some kind of processor (single or multi-core, general use, DSP microprocessors, or even microcontrollers), showing one of more hierarchical levels of memory (that is, cache memory, main memory and/or hard drive, for instance), and may include dedicated controllers for memory access (DMA), as well as techniques of virtual memory management.
Professors Home time Lattes
RAFAEL FRAGA GARIBOTTI 3 years and 9 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Digital Entrepreneurship - Transforming Knowledge into Development
COD Workload Description
1982K-02 30 This course aims to present the main concepts associated with digital entrepreneurship and the transformation of scientific knowledge in development for society. The following points will be addressed: Entrepreneurship, startups, business model, lean startup, minimum viable product, and real cases of transforming scientific knowledge into innovation and development through entrepreneurship.
No offer for current semester
Concentration area Type Obligatoriness
Computer Science Master's Don't Required
Computer Science Doctorate Don't Required
Engineering and Materials Technology Master's Don't Required
Engineering and Materials Technology Doctorate Don't Required
Materials and Related Processes Doctorate Don't Required
Scientific Education Master's Don't Required
Scientific Education Doctorate Don't Required
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Bioinformatics and Bio-inspired Computation To follow are some of the topics this line of research will cover: Bioinformatics; Structural Bioinformatics; Biomathematics; Modeling and Simulation of Biological and Molecular Processes; Methods and Algorithms for Protein 3D Structure Prediction; Molecular Docking; Molecular Dynamics; Computer-assisted Drug Design; Visualization in Modeling and Simulation; Data Mining in Bioinformatics.
Parallel and Distributed Processing Parallel and Distributed Processing; Parallel Architectures; Operating Systems; Computer Networks; Formal Specification and Verification of Distributed Systems; Systems Performance Evaluation; Stochastic Modeling; Fault-Tolerance; Fault Detection; Fault Injection; Theoretical Models for Fault-Tolerance; Computer Systems Security; Cryptography; Cloud Computing; Grid Computing; Virtualization; IT Infrastructure Management; High Performance Computing; Parallel Algorithms; Parallel Programming Paradigms; Parallel Programming Environments; Scheduling; Modeling of Parallel Applications; Green Computing;
Software Engineering and Databases Software Development Process; Software Project Management; Software Engineering for Multi-agent Systems; Ontology-Based Software Development; Software Quality; Software Testing; Software Modeling; Distributed Software Development; Agile Methodologies for Software Development; Experimental Software Engineering; Software Product Line; Software Reuse; Integration between IHC Techniques and Software Engineering; User Interface Assessment and Design Techniques; User eXperience; Knowledge-discovery in Databases; Data Mining; Data Warehousing; Active and Temporal Databases; Modeling and Control of Business Processes; Scientific Workflow Systems.
Computer Graphics, Image Processing, Virtual Reality and Computer Human Interaction To follow are some of the topics this line of research will cover: Human-Computer Interaction; Quality in the Use of Interactive Systems (Accessibility, Communicability, and Usability); Assessment Techniques and User Interface Design; Social Interactions; Multimodal Interaction; Interaction in Virtual Environments; Assistive Technology; Data Visualization; Image Processing; Computer Vision; Medical Imaging; Computer Graphics Applications; Virtual Reality; Crowd Simulation; Virtual Humans Simulation; Computer Facial Animation; Algorithms Applied to Real-Time Games and Simulations.
Computational Intelligence Intelligent Agents; Agent-Oriented Programming Languages; Cognitive Agents; Automatic Planning; Probabilistic Planning; Autonomous Reasoning; Semantic Computing; Knowledge Representation; Ontologies; Context-aware Computing; Semantic Web; Ontology Learning; Natural Language Processing; Textual Information Extraction; Text Data Mining, Generation of Multilingual Linguistic Resources; Multi-agent Systems; Normative Systems; Agent Communication; Formal Verification of Multi-agent Systems; Applications of Intelligent Systems; Robotics; Ubiquitous Computing; Urban Mobility; Intelligent Electricity Networks; Sentiment Analysis; Profile and Health Analysis.
Embedded Systems and Digital Systems Embedded Systems; Software Project for Embedded Systems; Embedded Operating Systems; Real-Time Systems; Virtualization of Embedded Systems; Middleware for Embedded Systems; RFID; Wireless Sensor Networks; Architecture of Embedded Microprocessors; Microelectronics; Integrated Circuits Project; Intra-chip Communication; Intra-chip Multiprocessing (Multi-core, MPSoC); Intra-chip Networks, Hardware Description Language; FPGA Prototyping; VLSI Project Aiming ASICs; Functional Verification of VLSI Systems; VLSI System Testing; Hardware Reliability; Hardware for Critical Applications; Hardware Applied to Robotics; Asynchronous Circuits and Systems/GALS; Non-synchronous System Project; Synchronizers; Modeling of Embedded Systems; Models of Computation (MoCs); Programming Languages for the Implementation of MoCs, Telecommunication Applications.
Metallic materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Polymeric materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Materials and processes to mitigate and control environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Nanostructured materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and photovoltaic cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Metallic Materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Polymeric Materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Materials and processes for control and mitigation of environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Nanostructured Materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and Solar Cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Learning, teaching and teacher education on Science and Mathematics This line involves knowledge production on the teaching and learning of Science and Mathematics, related to education through research, to interdisciplinarity and transdisciplinarity, to the modeling processes in Science and Mathematics, associated with the initial and continuing education of teachers in Basic and Higher Education.
Culture, Epistemology and Science Education Culture, Epistemology and Scientific Education This line addresses knowledge production on historical, epistemological and sociocultural aspects related to scientific, mathematical and technological development, as well as to the popularization of Science and Mathematics in formal and non-formal learning settings.
Tecnology in Science and Mathematics Education This line addresses knowledge production on information and communication technologies to support the teaching and learning processes in Science and Mathematics in both classroom and also in distance learning.
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Digital Image Processing
COD Workload Description
9441J-03 45 To follow are the topics this course will address: Image formation and elements; The notion of colors; Numerical image; Gray scales; Multispectral images; Input and output equipment, imagers and monitors; Convolution theorem and 2D Fourier transform; Image transfer; Punctual radiometric transforms; Filters in space and in spatial frequency; Convolution; Morphological transformations; Operations between images; Main components; HSV transformations; Geometric transformations; Image records; Interpolation.
Professors Home time Lattes
DARIO FRANCISCO GUIMARAES DE AZEVEDO 29 years and 4 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Digital Modulation
COD Workload Description
9441A-03 45 To follow is a list of topics this course will address: Digital transmission through AWGN channels; Modulation and demodulation; Synchronization; Digital transmission through bandlimited channels; Analytical models of communication channels; Equalization and channel compensation; Multicarrier systems; Spread spectrum systems; MIMO systems.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Digital Signal Processing
COD Workload Description
9441Q-03 45 To follow are the topics this course will address: Discrete Signals and Systems; Linear time-invariant systems, frequency response and filters; Graphical method for response methods; Z-transform; Discrete Fourier transform; Fast Fourier transform; Minimum phase sequences; Hilbert transform; Homomorphic filtering; Digital filters; FIR and IIR.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Electrical Energy Quality
COD Workload Description
9441C-03 45 To follow is a list of topics this course will address: Concept of energy quality; Terms and definitions; Variations of short voltages; Voltage fluctuations; Voltage unbalance; Transient overvoltages; Variations of long voltages; Distortion of voltage waves; Sources of Harmonicas; Effects of harmonicas in machines; Minimization of energy quality problems; Energy quality monitoring.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Fault-Tolerance Techniques for Integrated Systems
COD Workload Description
9441N-03 45 This course is primarily intended to introduce the main concepts associated with the main fault-tolerance techniques for integrated systems. Hence, the following topics will be addressed: Introduction and contextualization of the need for fault-tolerance techniques for systems adopted in critical applications; Study of fault models; Study of the main redundancy techniques (Hardware, Software, Information and Time); Study of Software-Implemented Hardware Fault-Tolerance (SIHFT) techniques; Introduction to the main fault injection mechanisms (hardware, software, simulation and emulation).
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Functional Verification of Digital Systems II
COD Workload Description
19854-02 30 Review hardware verification languages; Languages to describe assertions; fault simulation; equivalence verification; property verification; Formal verification methods for VLSI
Professors Home time Lattes
ALEXANDRE DE MORAIS AMORY 7 years and 9 months Link
Concentration area Type Obligatoriness
Computer Science Master's Don't Required
Computer Science Doctorate Don't Required
Engineering and Materials Technology Master's Don't Required
Engineering and Materials Technology Doctorate Don't Required
Materials and Related Processes Doctorate Don't Required
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Bioinformatics and Bio-inspired Computation To follow are some of the topics this line of research will cover: Bioinformatics; Structural Bioinformatics; Biomathematics; Modeling and Simulation of Biological and Molecular Processes; Methods and Algorithms for Protein 3D Structure Prediction; Molecular Docking; Molecular Dynamics; Computer-assisted Drug Design; Visualization in Modeling and Simulation; Data Mining in Bioinformatics.
Parallel and Distributed Processing Parallel and Distributed Processing; Parallel Architectures; Operating Systems; Computer Networks; Formal Specification and Verification of Distributed Systems; Systems Performance Evaluation; Stochastic Modeling; Fault-Tolerance; Fault Detection; Fault Injection; Theoretical Models for Fault-Tolerance; Computer Systems Security; Cryptography; Cloud Computing; Grid Computing; Virtualization; IT Infrastructure Management; High Performance Computing; Parallel Algorithms; Parallel Programming Paradigms; Parallel Programming Environments; Scheduling; Modeling of Parallel Applications; Green Computing;
Software Engineering and Databases Software Development Process; Software Project Management; Software Engineering for Multi-agent Systems; Ontology-Based Software Development; Software Quality; Software Testing; Software Modeling; Distributed Software Development; Agile Methodologies for Software Development; Experimental Software Engineering; Software Product Line; Software Reuse; Integration between IHC Techniques and Software Engineering; User Interface Assessment and Design Techniques; User eXperience; Knowledge-discovery in Databases; Data Mining; Data Warehousing; Active and Temporal Databases; Modeling and Control of Business Processes; Scientific Workflow Systems.
Computer Graphics, Image Processing, Virtual Reality and Computer Human Interaction To follow are some of the topics this line of research will cover: Human-Computer Interaction; Quality in the Use of Interactive Systems (Accessibility, Communicability, and Usability); Assessment Techniques and User Interface Design; Social Interactions; Multimodal Interaction; Interaction in Virtual Environments; Assistive Technology; Data Visualization; Image Processing; Computer Vision; Medical Imaging; Computer Graphics Applications; Virtual Reality; Crowd Simulation; Virtual Humans Simulation; Computer Facial Animation; Algorithms Applied to Real-Time Games and Simulations.
Computational Intelligence Intelligent Agents; Agent-Oriented Programming Languages; Cognitive Agents; Automatic Planning; Probabilistic Planning; Autonomous Reasoning; Semantic Computing; Knowledge Representation; Ontologies; Context-aware Computing; Semantic Web; Ontology Learning; Natural Language Processing; Textual Information Extraction; Text Data Mining, Generation of Multilingual Linguistic Resources; Multi-agent Systems; Normative Systems; Agent Communication; Formal Verification of Multi-agent Systems; Applications of Intelligent Systems; Robotics; Ubiquitous Computing; Urban Mobility; Intelligent Electricity Networks; Sentiment Analysis; Profile and Health Analysis.
Embedded Systems and Digital Systems Embedded Systems; Software Project for Embedded Systems; Embedded Operating Systems; Real-Time Systems; Virtualization of Embedded Systems; Middleware for Embedded Systems; RFID; Wireless Sensor Networks; Architecture of Embedded Microprocessors; Microelectronics; Integrated Circuits Project; Intra-chip Communication; Intra-chip Multiprocessing (Multi-core, MPSoC); Intra-chip Networks, Hardware Description Language; FPGA Prototyping; VLSI Project Aiming ASICs; Functional Verification of VLSI Systems; VLSI System Testing; Hardware Reliability; Hardware for Critical Applications; Hardware Applied to Robotics; Asynchronous Circuits and Systems/GALS; Non-synchronous System Project; Synchronizers; Modeling of Embedded Systems; Models of Computation (MoCs); Programming Languages for the Implementation of MoCs, Telecommunication Applications.
Metallic materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Polymeric materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Materials and processes to mitigate and control environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Nanostructured materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and photovoltaic cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Metallic Materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Polymeric Materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Materials and processes for control and mitigation of environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Nanostructured Materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and Solar Cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Human Physiology Applied to Engineering
COD Workload Description
9441G-03 45 The course on Physiology and Biomedical Instrumentation looks at the topics related to Biomedical Engineering applied to the integrated study of anatomy and physiology, biophysical chemistry and biomedical instrumentation of the digestive, endocrine, immunological, nervous, osteomuscular and reproductive systems.
Professors Home time Lattes
RAFAEL REIMANN BAPTISTA 11 years and 9 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Internal Medicine Applied to Engineering
COD Workload Description
9441F-03 45 The course on Physiology and Clinical Instrumentation looks at topics related to the area of Biomedical Engineering applied to the integrated study of anatomy and physiology, biophysical chemistry and clinical instrumentation of the cardiovascular, respiratory, urinary systems, acid-base equilibria, including the human exposure to extreme environments (hypoxia, microgravity, acceleration, altitude sickness and hypothermia).
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Linear Systems Theory
COD Workload Description
94406-03 45 This course will address: Analysis of linear time-invariant systems; A description of continuous and discrete systems; State variables representation; Concepts of BIBO and input-to-state stability; Similarity transformation and canonical forms; Study of state feedback control techniques for pole allocation; The Luenberger observer and the separation principle.
Professors Home time Lattes
RAFAEL DA SILVEIRA CASTRO 1 year and 4 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Medical Imaging
COD Workload Description
9441I-03 45 This course will address the physical principles and the instrumentation involved in the image formation systems for diagnosis and treatment, with an eye to assessing human anatomy and physiology. To follow are the topics the course will address: physical principles of image formation; image diagnosis systems using electromagnetic radiation, such as tomography, electrical impedance, magnetic resonance imaging, endoscopy, conventional and digital radiology, mammogram, fluoroscopy, computed tomography scan, scintigraphy and emission tomography (SPECT and PET). Lastly, the course will look at image production systems from mechanical waves.
Professors Home time Lattes
ANA MARIA MARQUES DA SILVA 17 years and 9 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Methodology and Writing of Research Projects
COD Workload Description
9442C-03 45 This course aims to explore aspects related to project methodology, with emphasis on specification, implementation, validation and evaluation. In more detail, this course addresses the aspects necessary for the elaboration and writing of the qualification and thesis manuscript, as well as scientific papers.
Professors Home time Lattes
ANA MARIA MARQUES DA SILVA 17 years and 9 months Link
RAFAEL REIMANN BAPTISTA 11 years and 9 months Link
RAFAEL DA SILVEIRA CASTRO 1 year and 4 months Link
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Modeling and Control of Static Converters
COD Workload Description
9440Z-03 45 In this course, students will be required to design models for CC and CA analysis of CC-CC converters subject to small and big disturbances: Students will design dynamic models of static converters, direct methods of modeling of CC-CC converters, modeling using the mean of state space technique, analysis of small signals, converter modeling using the PWM switch model, canon circuit models, determination of transfer functions of converters, controller project.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Multivariable Control
COD Workload Description
9440T-03 45 To follow are the topics this course will address: State variables representation; Transfer Matrix; Disconnection; Controllability and Observability; Optimal control (LQR, LQG); Robust Control; Linear Matrix Inequalities (LMIs). State and output feedback; H2 and H-infinity norms.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Non-Linear Systems
COD Workload Description
04410-03 45 To follow are the topics this course will address: Study of the characteristics of non-linear systems: multiples points of equilibrium, existence and unicity of solutions, limit cycles; Phase diagrams; Lyapunov stability: direct and indirect method (linearization); Analysis of non-linear systems, absolute stability, descriptive function and saturation; Techniques for non-linear control, feedback linearization, slide mode controls and adaptive control.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Photovoltaic Systems Engineering
COD Workload Description
9440W-03 45 To follow are the topics this course will address: Fundamentals and applications of photovoltaic solar engineering: Analysis of photovoltaic effect, Photovoltaic cell (PV), PV Module, Study of electrical characteristics of PV modules, a PV system project, installations, batteries, characteristics of loads in isolated systems; Study, dimensions and projects on static converters for the use of electrical engineering generated from PV modules, both in isolated systems and in distributed microgeneration systems; Battery load controllers relying on maximum power point tracking (MPPT) systems, power inverters for power supply in isolated systems, power and current inverters in synchrony with the electrical system relying on MPPT systems, anti-islanding and minimization of harmonics.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Power Electronics
COD Workload Description
9441K-03 45 To follow is a list of topics this course will address: Electronic Processing of Electrical Engineering, analysis, project and dimensions of: CA-CC converters (Rectifying, non-controlled, semi-controlled and controlled structures); CA-CA Converters (Single-phase and 3-phase power); Isolated and non-isolated CC-CC converters (step down, step up, step up-down, Forward, flyback, zeta, sepic and Cuk); CA-CA converters (voltage and current source inverters); Magnetic components (inducers and transformers) to be used in static converters; Main semiconductors used in power electronics (diodes, thyristors, GTO, transistors ¿ BJT, MOSFET, IGBT).
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Power Supply Systems
COD Workload Description
9441L-03 45 This course will deal with the power supply systems based on static converters of electrical energy, as well as analysis, project and dimension of: Uninterruptible power supply systems, conventional switched-mode power supply systems and special power factor correction ones, supply systems for power LEDs. It will also look at circuits of activation of drivers and ICs dedicated for static converters control.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Project and Optimization of Integrated Circuits
COD Workload Description
9441B-03 45 This course will provide deeper insights into integrated circuit projects and Application-Specific Integrated Circuit (ASIC) digital systems. It will introduce and provide a context for the technological evolution associated with integrated circuit projects. It will address the main challenges and technological and market connections. It will promote the study of ASICs projects by going over every detail of all stages from font-end to back-end. It will also introduce students to Electronic Design Automation (EDA), available in the market for the conduction of the following stages: implementation of hardware descriptive language, validation through simulation, behavioral synthesis and physical synthesis.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Radio frequency and microwaves
COD Workload Description
04406-03 45 To follow are the topics this course will address: Scattering matrix; High frequency devices and circuits; Noise and distortion; Microstrips; Analysis of passive and active network projects.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Research Seminars
COD Workload Description
5461B-02 30 Connect lecturers, researchers, Master and Ph.D. students to the recent academic works produced by the Post-Graduate Programs at the School of Technology, including works that are not directly related to the area of study of the students enrolled in the course. Make use of the talks presented by the students and researchers as a formal tool for the dissemination of the scientific process, its constructive aspects, formal and conclusive, aiming at qualifying the research generated by the school.
Professors Home time Lattes
MILENE SELBACH SILVEIRA 25 years and 4 months Link
JULIANO DORNELAS BENFICA 12 years and 9 months Link
Concentration area Type Obligatoriness
Computer Science Master's Don't Required
Computer Science Doctorate Don't Required
Engineering and Materials Technology Master's Don't Required
Engineering and Materials Technology Doctorate Don't Required
Materials and Related Processes Doctorate Don't Required
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Bioinformatics and Bio-inspired Computation To follow are some of the topics this line of research will cover: Bioinformatics; Structural Bioinformatics; Biomathematics; Modeling and Simulation of Biological and Molecular Processes; Methods and Algorithms for Protein 3D Structure Prediction; Molecular Docking; Molecular Dynamics; Computer-assisted Drug Design; Visualization in Modeling and Simulation; Data Mining in Bioinformatics.
Parallel and Distributed Processing Parallel and Distributed Processing; Parallel Architectures; Operating Systems; Computer Networks; Formal Specification and Verification of Distributed Systems; Systems Performance Evaluation; Stochastic Modeling; Fault-Tolerance; Fault Detection; Fault Injection; Theoretical Models for Fault-Tolerance; Computer Systems Security; Cryptography; Cloud Computing; Grid Computing; Virtualization; IT Infrastructure Management; High Performance Computing; Parallel Algorithms; Parallel Programming Paradigms; Parallel Programming Environments; Scheduling; Modeling of Parallel Applications; Green Computing;
Software Engineering and Databases Software Development Process; Software Project Management; Software Engineering for Multi-agent Systems; Ontology-Based Software Development; Software Quality; Software Testing; Software Modeling; Distributed Software Development; Agile Methodologies for Software Development; Experimental Software Engineering; Software Product Line; Software Reuse; Integration between IHC Techniques and Software Engineering; User Interface Assessment and Design Techniques; User eXperience; Knowledge-discovery in Databases; Data Mining; Data Warehousing; Active and Temporal Databases; Modeling and Control of Business Processes; Scientific Workflow Systems.
Computer Graphics, Image Processing, Virtual Reality and Computer Human Interaction To follow are some of the topics this line of research will cover: Human-Computer Interaction; Quality in the Use of Interactive Systems (Accessibility, Communicability, and Usability); Assessment Techniques and User Interface Design; Social Interactions; Multimodal Interaction; Interaction in Virtual Environments; Assistive Technology; Data Visualization; Image Processing; Computer Vision; Medical Imaging; Computer Graphics Applications; Virtual Reality; Crowd Simulation; Virtual Humans Simulation; Computer Facial Animation; Algorithms Applied to Real-Time Games and Simulations.
Computational Intelligence Intelligent Agents; Agent-Oriented Programming Languages; Cognitive Agents; Automatic Planning; Probabilistic Planning; Autonomous Reasoning; Semantic Computing; Knowledge Representation; Ontologies; Context-aware Computing; Semantic Web; Ontology Learning; Natural Language Processing; Textual Information Extraction; Text Data Mining, Generation of Multilingual Linguistic Resources; Multi-agent Systems; Normative Systems; Agent Communication; Formal Verification of Multi-agent Systems; Applications of Intelligent Systems; Robotics; Ubiquitous Computing; Urban Mobility; Intelligent Electricity Networks; Sentiment Analysis; Profile and Health Analysis.
Embedded Systems and Digital Systems Embedded Systems; Software Project for Embedded Systems; Embedded Operating Systems; Real-Time Systems; Virtualization of Embedded Systems; Middleware for Embedded Systems; RFID; Wireless Sensor Networks; Architecture of Embedded Microprocessors; Microelectronics; Integrated Circuits Project; Intra-chip Communication; Intra-chip Multiprocessing (Multi-core, MPSoC); Intra-chip Networks, Hardware Description Language; FPGA Prototyping; VLSI Project Aiming ASICs; Functional Verification of VLSI Systems; VLSI System Testing; Hardware Reliability; Hardware for Critical Applications; Hardware Applied to Robotics; Asynchronous Circuits and Systems/GALS; Non-synchronous System Project; Synchronizers; Modeling of Embedded Systems; Models of Computation (MoCs); Programming Languages for the Implementation of MoCs, Telecommunication Applications.
Metallic materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Polymeric materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Materials and processes to mitigate and control environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Nanostructured materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and photovoltaic cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Metallic Materials This line of research aims to study and design metallic alloys for several applications in engineering, involving the purification of raw materials, the study of the fabrication process, thermal and thermochemical treatments and use performance.
Polymeric Materials This line of research involves the synthesis and characterization of polymers and polymer matrix composites, intended for the production of conductive and biodegradable polymers and polymers for coatings, among others.
Materials and processes for control and mitigation of environmental impacts This line of research is intended to design materials and processes used in environmental control (water, air, soil, etc.) by making use of recycling, including those materials that enable safe energy use and application of technologies for the reduction in greenhouse gas emissions.
Modeling and Simulation Applied to Materials and Processes This line of research aims to study, under the perspectives of mathematical modeling and numerical simulation, the processes and technologies involved with materials production, transport and development. Hence, physical phenomena studies, strongly supported by transport phenomena, materials science and thermodynamics, will be looked at.
Biomaterials, Biomechanics and Bioprocesses This line of research aims to develop materials to be used in implants, going over the processes of project design, fabrication and assessment of their performance. It also deals with the processes of separation, purification and fractionation of natural products for applications in engineering.
Nanostructured Materials This line of research aims to design and characterize nanostructured materials for special applications, such as: conductive polymers, superhard lattices, magnetic materials, filters, sensors, etc.
Semiconductors and Solar Cells This line of research is intended for the study and production of semi-conductive materials, as well as the fabrication and characterization of solar cells and the development of conventional and concentrator photovoltaics modules.
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Resonant Converters
COD Workload Description
9440V-03 45 This course will look at the basic switching cells, formed by: switches, diodes, thyristors, inducers and capacitors. It will look at forced switching. Additionally, it will look at the analysis, dimension and projects of resonant converters with light switching (series, parallel, series-parallel, E class), quasi-resonant and multi-resonant.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Seminar on Electrical Engineering I
COD Workload Description
19851-01 15 This course focus on test & reliability of ICs in advanced technologies (e.g., FinFET). First, the detectability (test) of manufacturing defects that may occur in FinFET technologies will be investigated. A detailed electrical analysis of circuits under different defects is made. Based on the results of the electrical analysis, efficient fault models are proposed. Then, using the fault models, a methodology for generating proper input excitations to detect the manufacturing defects is proposed. Technological aspects and circuit design techniques in FinFET technologies may increase complexity for obtaining high fault coverages. The use of middle-of-line interconnecting (MOL) layers to construct FinFETs may lead to defect locations with subtle defect behavior more difficult to detect. Additionally, the use of multi-fin and multi-finger transistors is a new challenge as they add some redundancy to the circuits. In this scenario, this course describes the reliability risk of circuits having the defects previously analyzed. Especially, the reliability degradation due to transistor aging (NBTI, PBTI) will be investigated. As the main knowledge transmitted to the students with this course, we can point out the development of efficient fault models and test vector exciting conditions for manufacturing defects occurring in FinFET technologies in order to produce high-quality electronics. Finally, we analyse faults escaping test to allow obtaining circuits with higher reliability.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Seminar on Electrical Engineering II
COD Workload Description
19852-01 15 This course will address the following topics: (1) Hardware Basis – the basics of the hardware architecture for multi and many-core systems are explained including topics like: main of the Multiand Many-core processors and their goal, caches (policies: fully associative, direct mapped, set associative; logical vs physical; addressing; shared vs private; exclusive vs inclusive; allocation strategies; organization), shared memory, memory consistency models, cache coherence protocols (MESI, MOESI, MESIF, Directory Based), main CPUs and their internal architecture (Intel family: i, Xeon, SCC, Xeon Phi; Tilera Many-Cores); (2): Operating System (OS) Issues – the issues faced by operating systems in multi-/many-core systems like: process placement and migration, process affinity, small and large scales UMA and NUMA architectures and placement strategies, many-core memory access, page replication and replication strategies. (3) Operating systems concepts for reliability – Reliability guided operating systems (OSs) and their approaches to become more dependable (task level TMR, (no-)dynamic memory allocations, correction codes, task migrations). A presentation of an OS controlled mechanism for configuration of functional units and a configuration based on task criticality level. (4) OS controlled reconfiguration mechanism for processor internal functional units: a Hands-on course – looking into the processor design and in the modifications, simulating the design using bare-metal code and a Real-Time Operating System, download and executing the design in an FPGA board.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Signal Codification and Compression
COD Workload Description
9440U-03 45 To follow are the topics this course will address: Sources of information, digitalization and compression, DPCM (differential pulse code modulation), entropy compression, Lempel-Ziv compression, MPEG compression, channel capacity, block correction codes, turbo codes, LDPC (low density parity check) codes.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Special Topics in Electronic
COD Workload Description
9442A-03 45 Operational amplifier: Configurations; Conditioning circuits for transducers; Comparator; Precision rectifiers and peak detectors; Integrators and differentiator; Function generators; Parasitic elements; Filters. Design and development of hardware and software for data acquisition systems with microcontrollers and/or reconfigurable devices. Programming languages applied to embedded systems. Communications protocol and Interface. Methodological planning and execution of electronic experiments.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Stochastic Processes
COD Workload Description
94405-03 45 To follow are the topics this course will address: Random Processes (RPs): Definition; Description methods; Special processes; The concept of stationarity; auto-correlation and spectral density of wide sense stationary (WSS) random processes; Temporal mean and ergodicity; Special classes of random processes; Discrete linear models; Autoregressive (AR); Moving average (MA); Autoregressive/moving average (ARMA); Markov chains and processes; Point processes; Gaussian process; Wiener filters; Kalman filters; Considerations on non-stationarity and solutions.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
System Identification
COD Workload Description
9440X-03 45 To follow is a list of topics this course will address: Methods of system identification; Deterministic identification, nonparametric identification based on correlation functions; Least Squares Estimation and Prediction Error Estimators; Testing project and structure choice; Validation of models; Kalman filter.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Systems Projects in Reconfigurable Hardware
COD Workload Description
04405-03 45 This course is mainly intended to study Systems-on-Chip (SoCs) projects, prototyped in a Field Programmable Gate Array (FPGA) reconfigurable logic, through the following stages: Specification; Implementation using hardware description languages; Behavioral and physical synthesis; Validation from functional simulation and evaluation; Study of testing methodologies and fault-tolerance techniques geared towards critical applications based on FPGAs; Introduction to the most commonly used fault injection techniques in order to assess the robustness of FPGA-prototyped SoCs and to spot failures in testing methodologies and fault-tolerance techniques occasionally used with the purpose of ensuring the system's robustness.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Technological and Biopharmaceutical Sciences
COD Workload Description
9441D-03 45 This course is intended to introduce and discuss the biological, physical and chemical principles involved in the techniques and in biomedical equipment employed in the diagnosis and treatment of several clinical conditions.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
Telehealth
COD Workload Description
9441E-03 45 This course is intended to go over the concepts of telemedicine, medical informatics, telematics and eHealth. It will introduce students to the protocols of disclosure of clinical data. It will address the technical aspects, the international policies and bioethics in telehealth, as well as telehealth initiatives in Brazil and all over the world, by touching on experiences in several areas of the health sciences.
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.
VLSI Testing
COD Workload Description
9441O-03 45 This course is primarily intended to present the main concepts on testing and fault-tolerance of integrated systems based on CMOS technology. Hence, the following topics will be addressed: a contextualization of the need for it and for testing technologies; Study of fault models and main testing procedures (online functional and parametric tests, as well as manufacture tests); Study of Design For Testability methodologies (Ad Hoc, based on Scan and Built-In Self-Test (BIST)); Introduction to the main fault injection mechanisms (hardware, software, simulation and emulation).
No offer for current semester
Concentration area Type Obligatoriness
Signals, Systems and Information Technology Master's Don't Required
Research line Description
Computer Systems This line of research is committed to the development of integrated systems with emphasis on the development of testing and fault-tolerance methodologies that can ensure their robustness. This line is strongly committed to the development of integrated systems using reconfigurable hardware (Field Programmable Gate Array – FPGA), as well as Application Specific Integrated Circuits (ASICs). In addition to that, it addresses topics related to the optimization of Integrated Circuits (ICs), such as Low Power-, Aging-, Temperature and Process Variation-Aware Design, and the development of Electronic Design Automation (EDA) tools. It also looks at techniques aiming at ensuring the development of ICs for Electromagnetic Compatibility – EMC and solutions in hardware and software for the project of Systems-on-Chip (SoC) and Embedded Systems robust to Electromagnetic Interference – EMI and radiation. The researchers involved also deal with the study of emerging technologies, such as graphene, for IC projects. Lastly, this line looks at the analysis of aging of CIs and also when combined to the EMI effects.
Biomedical Engineering Biomedical Engineering is an interdisciplinary and multiprofessional field that employs the knowledge, methods and techniques of exact sciences and engineerings for resolution of problems in biomedical areas. It is intended to provide further insights into biomedical systems by employing new methods and innovative technological solutions for the benefit of society and advancement of human health. The line of research in Biomedical Engineering addresses the following areas: engineering applied to physiology and biopharmaceutical processes (development of therapeutic, pharmaceutical and rehabilitation procedures and devices); aerospace engineering applied to health (simulation in extreme environments and physiological monitoring); processing and analysis of biological signals and medical imaging (processing and digital analysis techniques of images, health informatics, telehealth, artificial intelligence applied to biomedical signals and images); modeling of biomedical systems; biomedical instrumentation (biomedical sensors, systems for acquisition of biomedical signals and images); biomechanics (analysis of kinetics and kinematics of human body, architecture and muscle activation).
Automation and Systems This line of research is intended to advance theory and applied research into the area of automatic control systems. The several stages of control systems design will be addressed, including modeling and identification of systems, analysis and design of controllers with an eye to safe and efficient performance of several applications: robotics, power electronics, autonomous cars, converters and alternative sources of energy, among others. The main research topics include: development of advanced controllers for performance and robustness, modeling and identification of complex systems, analysis and design of controllers for non linear systems and the design of non linear controllers to improve the performance of linear systems.
Telecommunications This Line of Research is devoted to R&D of new technologies for telecommunication aiming at meeting demands for innovation from academia and industry. It develops complex projects, using state-of-the-art technology while consolidating the research in high value-added products and processes. This Line is particularly devoted to advanced communications, wireless and wireless broadband systems, IoT, wireless geolocation, real-time adaptive signal processing, software defined radio, artificial intelligence, software defined radio, cognitive radio, MIMO systems, antennae and electromagnetism, phased arrays and smart antennae, beamforming, microwaves and devices, electromagnetic metamaterials, computer electromagnetism, and design of integrated circuits for telecommunications.