Alessandro D'Innocenzo

Alessandro D'Innocenzo is a Lecturer at the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila. He has been actively involved in teaching courses such as 'Modelling and control of communication networks' and 'Control Systems' since 2009, contributing to both undergraduate and graduate education. His academic role also includes co-lecturing PhD courses like 'Modeling, analysis and design of wireless sensor and actuator networks' in collaboration with Prof. Carlo Fischione (KTH).

His research focuses extensively on control systems, wireless communication networks, and stochastic systems. Key areas include optimal control over Markovian channels, model predictive control (MPC) for power electronics, and data-driven modeling using regression trees and neural networks. He explores interdisciplinary topics such as energy retrofit of buildings and cybersecurity in cyber-physical systems, demonstrating a strong commitment to both theoretical and applied research.

Alessandro has published extensively on networked control systems, Markov jump systems, and machine learning applications in control. His work emphasizes the co-design of control and communication protocols, stability analysis under uncertainty, and real-time implementations using FPGA and embedded systems. Notable contributions include frameworks for secure state estimation over wireless channels and efficient MPC solutions for cascaded inverters.

Despite his prolific publication record, there are no awards explicitly mentioned in the provided texts. His teaching and research have been consistently active across multiple academic years, reflecting a dedicated academic career in systems and control engineering.