Michele Magno

Role at IT:U  

As a Fellow Professor of Embedded Systems & Edge AI at IT:U, Dr. Magno contributes to the development of new academic initiatives within the IT:U Smart Space Sensing and Systems Lab (S³ Lab) and the IT:U Satellite Lab. His involvement focuses on strategic guidance in teaching and research areas such as Project-based Learning, EdgeAI, Intelligent Sensors and Systems, Wireless Sensors Networks, Energy-efficient  IoT and embedded systems, Battery-operated devices, Energy Harvesting for Smart Sensors, Autonomous Robots.    

Short bio:

Michele Magno has 18-years experience and conducts cutting-edge research in energy-efficient systems, the Internet of Things (IoT), efficient machine learning autonomous systems, robotics, smart sensors, and wearable technologies. Moreover, his research focuses also on energy-harvesting technologies, minimizing energy consumption, and developing cost-effective IoT solutions for smart cities and environmental monitoring.   

Dr. Magno specializes in self-sustaining sensor technologies, advancing efficient data collection and processing developing efficient AI, and efficient wireless transmission. His research is closely connected to real-world applications—ranging from health monitoring and intelligent buildings to autonomous robots and industrial monitoring systems. His scientific excellence is recognized through numerous high-impact publications, more than 300 peer-reviewed papers in IEEE Journals and Conferences, and several awards and patents.  He is an IEEE Senior member since 2013.  

Through collaborations with industry and academic institutions, Dr. Magno drives technology transfer and real-world implementation. He also leads sustainability-focused projects, including the development of energy-harvesting power, such solar-powered and thermal-power, sensor systems to reduce CO₂ emissions. His affiliation with ETH Zürich further strengthens IT:U’s research network.