Salvatore Tedesco is a forward-thinking researcher with a strong background in novel wearable technology for healthcare and well-being applications integrating data science and machine learning resulting in > 70 peer-reviewed scientific publications and > 25 research projects. Excellent team leader, manager, mentor, team player and strong builder of prolific collaborations in different aspects of basic and applied research to industrial and research-oriented projects, which lead to > € 1.1 million in grant funding as PI and co-PI. Creative and self-motivated individual with the ability to work in a multi-disciplinary, multicultural environment with a unique combination of a detail-oriented mindset, driven personality, analytical skills and the proven ability to meet tight deadlines by working in a fast-paced work environment leading to original contributions in the wireless wearable sensors research area.

Salvatore's research interest are focused on wearable technologies for healthcare and wellbeing, human movement analysis in sports and clinical populations, motion sensors, signal processing, data analytics and machine learning. Further contributions deal with RFID Technology and antenna design and ultrawideband localization systems for indoor applications