Graduated cum laude in 2013, he obtained the title of PhD in Mechanical Engineering in 2017 developing themes related to the development of MPC-based algorithms and applications of genetic algorithms for optimal control and autonomous driving. He was a research fellow for the development of HiL techniques related to vehicle ABS systems. Starting from 2019 he is Assistant Professor (RTDA) in the Department of Mechanical Engineering.
His main research activities are:
- the development of control logics for autonomous driving, in particular the implementation of trajectory planning algorithms and decisional algorithms as in TEINVEIN and LIS 4.0 projects;
- the development of connected ADAS systems (V2V V2X) as for Vodafone 5G and Base 5G experimentation projects;
- the development of bio-inspired robots and motion control techniques;
- the development of logics of traffic flow management through connected systems and infrastructure.
He was a visiting Student and PhD at UC Berkeley (USA) and TU Delft (NL) universities respectively for collaborations in self-driving projects. He collaborates with multinational companies such as Pirelli, FCA, Vodafone, Marelli and IBM in different projects. Author of several scientific papers in national and international journals and conferences. He was Assistant Professor in several courses including “Applied Mechanics”, “Mechatronic Systems and Laboratory”, “Autonomous vehicles” and “Machines dynamic and control”.