Giacomo Baggio

Giacomo Baggio is an Assistant Professor in the Department of Information Engineering at the University of Padova. His research focuses on control theory, network science, and dynamical systems with applications to neuroscience, quantum information, and machine learning. He explores topics such as network controllability, system identification, and the interplay between network structure and functional properties.

Key areas of expertise include data-driven control methodologies, analysis of complex networks (both brain networks and engineered systems), and mathematical modeling of nonlinear systems. His work bridges theoretical developments with practical applications in areas like neural networks, quantum state preparation, and distributed control systems.

Baggio has contributed to advancements in understanding memory effects in Hopfield networks, optimizing control energy in large-scale systems, and developing frameworks for brain functional connectivity control. His research also addresses fundamental questions in system identification, including finite-sample guarantees and Bayesian approaches to control design.

He has been actively involved in editorial and organizational roles within academic communities and has served as a Ph.D. examiner. His projects emphasize interdisciplinary collaboration between engineering, neuroscience, and mathematics to tackle challenges in modern complex systems.