Massimo Violante

Massimo Violante is a Tenured Associate Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino. He serves as Deputy Director of the Polytechnic School and holds leadership roles in multiple research centers including the Interdepartmental Center PEIC (Power Electronics Innovation Center) and the Spin-Off/Start-Up Evaluation Commission. With expertise in embedded systems, functional safety, and sleep analysis, he bridges automotive engineering with biomedical applications through his research.

• Scientific Branch: IINF-05/A - Information Processing Systems
• ERC Sectors: PE7_11 (Components/Applications), PE6_1 (Computer Architecture), PE6_3 (Software Engineering)
• SDG Alignment: Goal 3 (Health) and Goal 9 (Innovation)

His research focuses on fault tolerance, driver safety aid systems, and functional safety standards like ISO26262. He leads groundbreaking work in real-time sleep prediction and automotive electronics reliability, including patented solutions for drowsiness detection and safety-critical systems. Recent projects span from GreenChips-EDU (education ecosystem for sustainable microelectronics) to HiEFFICIENT (wide band gap power electronics for electric vehicles).

Violante has supervised numerous PhD students including Sara Groppo (health monitoring for newborns), Michele Guagnano (sleep monitoring), and Pietro D'Agostino (Industrial IoT solutions). He has received prestigious recognition including the IEEE Best Paper Award (2005) and leadership roles as Program Chair for major symposiums like the IEEE European Test Symposium. His teaching portfolio includes foundational courses in Model-based Software Design, Operating Systems for Embedded Systems, and Technologies for Autonomous Vehicles.

• Major Projects:
  • EU-funded: Cynergy4MIE (2024-2027), ShapeFuture (2024-2027), A-IQ Ready at EDGE (2023-2025)
  • Nationally/Regionally funded: EMC2 (2014-2017), MIE (2014-2017), FELIX (2007-2010)
  • Commercial contracts: Automotive Academy (2019-2020), Vodafone IoT Academy courses (2019-2021), Smartwatch-based drowsiness detection systems

As a prolific inventor, he holds multiple international patents in driver state monitoring, microsleep prediction, and emergency intervention analysis. His work demonstrates a unique convergence of automotive engineering, biomedical applications, and high-reliability computing.