The research addresses methodological and application-related aspects of Intelligent cyberphysical embedded systems, i.e., embedded systems with sensors and actuators, executing computational intelligence algorithms to deal with uncertainty and learn from incoming sensor data. The class of embedded systems known in the literature as Wireless Sensor Networks, Internet of Things, passive RFId-based and hybrid systems are object of the study. More specifically, aspects related to energy harvesting and storage, energy management (energy-aware routing protocols, unit management, adaptive sampling, dynamic data accuracy acquisitions) and integration of hybrid wired/wireless monitoring systems are envisaged. Particular attention is devoted to credible applications designed and deployed to live in harsh environments with intelligent and decision making abilities.

The laboratory specializes in hardware/software design and embedded systems. The thematic research areas are:

• Intelligent embedded systems
• Embedded -deep- machine learning
• Wired and wireless embedded systems
• Cyber-physical and IoT systems
• Monitoring systems
• Active and passive RFIDs
• Industrial quality analysis