Cooperation Project 3
Coordinator: Prof. Fabian Luis Vargas
Today, technological development follows three domains brought forth by Moore’s Law. They are as follows: More-More, Beyond CMOS and More Than Moore. More Than Moore is based on the principle of integrating different types of devices to meet the needs of today’s society. In this sense, the concept of Smart Systems (SSs) is used for a category of systems formed by interconnected, energetically autonomous miniature and smart devices. SSs incorporate functionalities such as sensing, performance and control, including predictive or adaptive decision-making to solve complex problems. Hence, SSs feature heterogeneous components and sub-systems, such as analog devices and other devices for digital processing of signals, storage and energy sources. In this context, we can see the emergence of the Internet of Things (IoT) which is based on the principle of connecting different types of systems to allow for the exchange of data. Interconnecting SSs and Cyber-Physical Systems are made possible through IoT, as they are associated with what is known as the fourth industrial revolution, and are employable in several applications.
Therefore, as the application of the IoT in essential sectors of our society moves forward, we can see the need for development of fault-tolerance techniques that are capable to ensure the robustness of SSs as well as methodologies that are capable of monitoring data content and flow, with low energy consumption. Another important aspect concerns decision-making processes, control and simulation of complex systems. In this sense, we can mention the application of concepts of Artificial Intelligence and, particularly, Autonomous Agents and Multi-Agent Systems. Please note that advanced control and decision-making techniques, associated with robust networks, can help us find the solution for intangible problems or even problems that did not exist until recently.
Finally, this project will rely on the support of important Higher Education Institutions, such as the Politecnico di Torino (Italy), UPENN (USA) and University of Newcastle (Australia). These institutions are characterized by their academic excellence in the international scenario and relevance of their research in the areas of testing and fault-tolerance of critical systems, simulation of complex systems and control and automation of systems. Further, these institutions are renowned for their competence in the production of human resources capable of dealing with the main challenges of a global and interconnected world.