Massimo Canale

Massimo Canale is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, and a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic career spans over two decades, focusing on control systems engineering with applications in automotive technology.

• Scientific Branch: Systems and Control Engineering (IINF-04/A)
• ERC Sectors: Automotive Engineering, Control Engineering, Control Theory

Dr. Canale's research bridges theoretical advancements in Model Predictive Control (MPC) with practical applications in autonomous vehicles, hybrid/electric propulsion, and active suspension systems. His work integrates reinforcement learning and dynamic programming for optimizing vehicle performance and energy efficiency.

Recent publications demonstrate trends in autonomous driving architectures (2024), sliding mode control for highway scenarios (2024), and energy management for sustainable mobility (2023-2024). He has developed patented solutions for semi-active suspension control and autonomous vehicle guidance.

• Award: IEEE Transactions on Control Systems Technology Outstanding Paper Award (2011)
• Editorial Roles: Associate Editor, IEEE Open Journal of Control Systems (2022–present)

Dr. Canale supervises PhD students like Francesco Cerrito and teaches courses on digital control technologies, automatic control, and reinforcement learning at Politecnico di Torino. His research is funded through competitive grants (e.g., MPC4AVP 2021-2022) and commercial contracts (AD Shuttle 2024).