Department | Embedded Intelligent Systems

Mission

The laboratory’s activities focus on embedded systems in general, and the application of artificial intelligence techniques in the field of embedded systems, in application contexts that include cognitive and intelligent robotics, the Internet of (intelligent) Things, edge intelligence, and cybersecurity applied to embedded systems.

Activities

• Cognitive and intelligent robotics: Design and implementation of robotic systems capable of autonomously interacting with the surrounding environment and collaborating with humans through a natural interface.
• Internet of (intelligent) Things: Design and implementation of interconnected embedded systems (including wearable systems) with learning and adaptive capabilities, in application fields such as industrial process automation, medicine, and digital healthcare.
• Edge intelligence: Design and implementation of systems based on artificial intelligence, machine learning, and computer vision capable of operating using limited computational resources, in terms of processing power, memory, and energy.
• Cybersecurity applied to embedded systems: Design and implementation of systems capable of detecting attacks on embedded devices with limited computational resources in the Internet of Things context.

Teaching

The laboratory is mainly used by students completing theses from undergraduate and graduate degree programs in Computer Engineering and Information Engineering for Digital Medicine, as well as by Ph.D. students in Information Engineering. They are engaged in developing models and applications that fall within the laboratory’s various research areas.