Carlo Scaglia is an Associate Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB) at Politecnico di Milano. His primary research interests lie in the field of automatic control, with a significant focus on nonlinear systems, control of multi-agent systems, distributed optimization, and data-driven control. He applies his research to various domains including smart grids, robotics, power systems, and intelligent transportation systems. Professor Scaglia is actively involved in teaching graduate and undergraduate courses related to control theory, system identification, and automation. He also supervises numerous PhD and Master's thesis students, guiding their research and contributing to the development of innovative engineering solutions and theoretical advancements in his field.
Carlo Scaglia's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored and co-authored a significant number of peer-reviewed articles in high-impact international journals (such as IEEE Transactions on Automatic Control, Automatica) and leading conference proceedings in the field of control systems and automation.
Successfully secured and contributed to multiple research projects funded by national (e.g., Italian Ministry of University and Research - MUR) and European entities, focusing on areas like distributed control, smart grids, and complex networked systems.
Mentored and supervised a considerable number of PhD students and postdoctoral fellows, many of whom have gone on to successful careers in academia and industry, thereby fostering the next generation of researchers in automatic control.
Actively serves as a reviewer for top-tier international journals and conferences. He has also been involved in organizing committees and editorial boards for scientific events and publications in the control systems community.
Contributed to the development and theoretical analysis of novel control algorithms for nonlinear and interconnected systems, including passivity-based control, adaptive control, and distributed estimation and control strategies.
Ecole hôtelière de Lausanne
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