Francesco Liberati

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling.

• PhD in Systems Engineering from Sapienza University (2015)
• Assistant Professor (RTD-B) at Sapienza University (2021-2024)
• Assistant Professor (RTD-A) at eCampus University (2015-2017)

Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration.

His recent publications emphasize:

• Stochastic and economic MPC for renewable energy storage
• Decentralized control algorithms for EV charging
• Cyber-physical security in microgrids and smart infrastructure
• Hybrid AI-control solutions for traffic and industrial systems

Scientific recognition includes:

• 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT)
• 2021 Networked Systems Best Paper Award

He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.