He is a research fellow for the ADAS+ project since 2020. He received his bachelor’s degree in electronics engineering in 2017 at the University of Modena and Reggio Emilia, and the respective master’s degree in 2020. His master thesis was developed during an internship in STMicroelectronics, Catania fab, and it is focused on driver drowsiness monitoring system based on Photoplethysmography (PPG) technique. His research activity is focused on the monitoring of driver psychophysiological state, in particular on a system that employs several human physiological acquisition signals such as eye blinking, gaze direction, head position, skin conductance response, breathing, and drunkenness to assess driver drowsiness and driver attention level.