Sophie Fosson

Sophie Fosson is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, Italy. She is a member of the System Identification & Control (SIC) research group and teaches courses such as Automatic Control and Modeling and Control of Cyberphysical Systems at both the master's and doctoral levels.

Education:

• PhD in Mathematics for Industrial Technologies, Scuola Normale Superiore di Pisa
• Master’s in Mathematical Engineering, Politecnico di Torino

Her research focuses on sparse optimization, machine learning, system identification, and control theory. She integrates mathematical modeling with practical applications in cyber-physical systems and neural networks. Her work emphasizes efficient and robust optimization techniques for deep learning and control systems.

The recent publications highlight a strong trend in optimization of neural networks, particularly through sparse training, binary and ternary quantization, self-supervised learning, and fault tolerance. Her research bridges control theory with machine learning, applying mathematical rigor to modern AI challenges in safety-critical and embedded environments.

Scientific Awards:

• No awards explicitly mentioned.

She supervises several PhD students including Alice Re, Rosario Milazzo, and Simone Pirrera, and has been involved in research projects such as CRISP and collaborations with Centre Tecnològic de Telecomunicacions de Catalunya. She has held postdoctoral positions at DISMA and DET (Politecnico di Torino) and worked as a researcher at Istituto Superiore Mario Boella.

Laboratories and Research Groups:

• System Identification & Control (SIC), DAUIN, Politecnico di Torin