Alessandro Rizzo

Alessandro Rizzo is an Associate Professor in Automation Engineering at the Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET) and the PIC4SeR Interdepartmental Centre for Service Robotics. He holds a PhD from the University of Catania and has held academic roles at Polytechnic University of Bari (2002–2015) and NYU Tandon School of Engineering (visiting roles). His work spans complex networks, robotics, epidemic modeling, and distributed control systems.

• Education: Laurea summa cum laude in Computer Engineering (University of Catania, 1996), PhD in Electronic and Control Engineering (University of Catania, 2000).

Research Interests include data-driven control of autonomous vehicles, network dynamics, cooperative robotics, and epidemic modeling for public health. His recent articles focus on Koopman-based predictive control, adaptive bio-inspired architectures, and distributed localization algorithms.

Scientific Awards include the IFAC Best Application Paper Award (2002), IEEE Distinguished Lecturer (2007), IEEE Senior Member (2008), and APS Highlight in Physics (2014).

• PhD Supervision: Mentoring research on AI for robotics, epidemic control, and autonomous systems, with students like Lorenzo Calogero and Zhipeng Ding.
• Editorial Roles: Associate Editor for journals such as IEEE Transactions on Control of Network Systems and IEEE Robotics and Automation Letters.