Organizers

Valentina Breschi, Eindhoven University of Technology, The Netherlands

Eugenia Villa, Politecnico di Milano, Italy

Chiara Ravazzi, CNR-IEIIT, Italy

Fabrizio Dabbene, CNR-IEIIT, Italy

Mara Tanelli, Politecnico di Milano, Italy

Marco Pavone, Stanford University, USA

Valentina Breschi

Valentina Breschi is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology (The Netherlands). Her main research interests include data-driven control, system identification, collaborative learning, and human-centered policy design, focusing on mobility systems.

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Valentina Breschi received her B.Sc. in Electronic and Telecommunication Engineering and her M.Sc. in Electrical and Automation Engineering from the University of Florence (Italy) in 2011 and 2014, respectively. She received her Ph.D. in Control Systems from IMT School for Advanced Studies Lucca (Italy) in 2018, being a visiting scholar at the University of Michigan (USA). From 2018 to 2023, she was with Politecnico di Milano (Italy), first as a post-doctoral researcher and then as a junior assistant professor from 2020 to 2023. In 2023, she joined the Department of Electrical Engineering at Eindhoven University of Technology (The Netherlands) as an Assistant Professor. Her main research interests include data-driven control, system identification, collaborative learning, and human-centered policy design, focusing on mobility systems.


Eugenia Villa

Eugenia Villa is a PhD candidate in Data Analytics and Decision Sciences at Politecnico di Milano. Her current research work is concerned with the design of diversity-aware, human-centered policy for the promotion of inclusive and sustainable technological solutions exploiting a data-driven and control-oriented approach.


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Eugenia Villa is a PhD candidate in Data Analytics and Decision Sciences at Politecnico di Milano. She received her B.Sc. and M.Sc. in Mathematical Engineering from Politecnico di Milano (Italy) in 2018 and 2020 respectively. During her M.Sc., she focused her studies on modeling and data analysis discussing a thesis on statistical analysis and modeling of human-robot interactions. Her current research work is concerned with the design of diversity-aware, human-centered policy for the promotion of inclusive and sustainable technological solutions exploiting a data-driven and control-oriented approach.

Chiara Ravazzi

Chiara Ravazzi is senior researcher at CNR-IEIIT starting from 2023 and adjunct professor at the Politecnico di Torino. Her current research interests lie in the broad areas of control and information theory, signal processing, optimization and learning algorithms for network systems.


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Chiara Ravazzi is senior researcher at CNR-IEIIT starting from 2023 and adjunct professor at the Politecnico di Torino. She obtained the Ph.D. in Mathematical Engineering from Politecnico di Torino in 2011. In 2010, she spent a semester as a visiting scholar at the Massachusetts Institute of Technology (LIDS), and from 2011 to 2016, she worked as a post-doctoral researcher at Politecnico di Torino (DISMA, DET). In December 2016, she joined the Institute of Electronics and Information Engineering and Telecommunications of the National Research Council (CNR-IEIIT), in the role of a tenured researcher. Furthermore, she served as an Associate Editor for IEEE Transactions on Signal Processing from 2019 to 2023, and she currently holds the same position for IEEE Control Systems Letters (since 2021) and the European Journal of Control (since 2023). She is serving as the Chair of the "Learning, Dynamics, and Behaviors in Social Systems" working group within the Technical Committee on Networks and Communication Systems in the IEEE Control Systems Society (CSS). She has achieved the national scientific qualification as a second-tier (associate professor) in the fields of Automatica (09/G1) and Telecommunications (09/F2). Her current research interests lie in the broad areas of control and information theory, signal processing, optimization and learning algorithms for network systems.

Fabrizio Dabbene

Fabrizio Dabbene is currently a Director of Research at the CNR-IEIIT  in Torino, Italy, where he coordinates the Information and Systems Engineering group. His research interests include randomized and robust methods for systems and control, aerospace applications, learning of social network dynamics, and machine learning. 

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Fabrizio Dabbene is currently a Director of Research at the CNR-IEIIT  in Torino, Italy, where he coordinates the Information and Systems Engineering group. His research interests include randomized and robust methods for systems and control, aerospace applications, learning of social network dynamics, and machine learning. 

He has held Visiting and Research Positions with The University of Iowa, Iowa City, IA, USA, with Penn State University, State College, PA, USA, and with the Russian Academy of Sciences, Institute of Control Science, Moscow, Russia. He is Senior Fellow of the Bruxelles Institute of Advanced Studied since 2024. He published more than 150 research papers and two books and is recipient of the 2010 EurAgeng Outstanding Paper Award. He served as Associate Editor for Automatica (2008-2014) and for the IEEE Transactions on Automatic Control (2008-2012) and Senior Editor for the IEEE Control Systems Letters (2018-2013). He serves as Senior Editor for the IEEE Transactions on Control Systems Technology. Dr. Dabbene is a Senior Member of the IEEE and served as elected member of the IEEE-CSS Board of Governors (2014-2016) and as IEEE-CSS Vice President for Publications (2015-2016). He is currently chair of the IEEE-CSS Italy Chapter, which in 2023 was awarded the IEEE-CSS Outstanding Chapter Award.

Mara Tanelli

Mara Tanelli is a Full Professor of Automatic Control at the Politecnico di Milano. Her research activities focus on active control of ground vehicles, smart and inclusive mobility and industrial Analytics. 


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Mara Tanelli is a Full Professor of Automatic Control at the Politecnico di Milano, where she is the Rector’s delegate for Diversity and Inclusion. Her research activities focus on active control of ground vehicles, smart and inclusive mobility and industrial Analytics. She is co-author of more than 200 scientific publications and more than 20 patents in these research areas. Since 2013, she is part of the Conference Editorial Board of the IEEE CSS. She is currently AE for the IEEE Transactions on Human-Machine Systems. Since December 2020 she is Chair of the IEEE TC of Automotive Controls of the IEEE CSS.

Marco Pavone

Marco Pavone  is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. 

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Marco Pavone  is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. He is also a Distinguished Research Scientist at NVIDIA where he leads autonomous vehicle research. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career (CAREER) Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40.