Vladimiro Suglia received the B.Sc. degree in Computer Science and Automation Engineering and the M.Sc. degree in Automation Engineering from Politecnico di Bari (both cum laude), Bari, Italy, in 2018 and 2021, respectively. His master’s thesis concerned the implementation of an EMG-based motion-intent recognition algorithm for gait-mode classification, under the supervision of Prof. David Naso and Prof.ssa Loredana Zollo.
In Frebruary 2025, he got his Ph.D. in Electrical and Information Engineering at Politecnico di Bari. His main research interests include human-robot interaction, assistive and rehabilitative robotics and Machine Learning.