Speakers

He received the M.Sc degree in Electronic Engineering in 2003 and the Ph.D. degree in Information Engineering in 2007, both from the Politecnico di Milano. In 2005 he was visiting student at the Institute for Systems Theory and Automatic Control, Stuttgart, Germany. He is presently Associate Professor at Dipartimento di Elettronica e Informazione, Politecnico di Milano. His research interests include distributed and decentralized state estimation and control, use of data-based methods for direct and indirect design of control systems, and analysis of recurrent neural network models. Prof. Farina is Editorial Board Member (Subject Editor) for International Journal of Adaptive Control and Signal Processing since 2016 and Associate Editor of the IFAC journal Automatica since 2019.

He received the B.Sc. and M.Sc. in Automation Engineering cum laude from Politecnico di Milano in 2013 and 2015, respectively. In 2016, he received the Alta Scuola Politecnica Diploma, together with the M.Sc. in Mechatronics Engineering cum laude at Politecnico di Torino. He received the Ph.D. Degree cum laude in Information Technology at Politecnico di Milano in 2020. In 2018, he was visiting researcher at the Automatic Control Lab of the École Polytechnique Fédérale de Lausanne, Switzerland. From 2020 to 2022, he worked as Research Engineer at Ricerca sul Sistema Energetico - RSE SpA, designing and implementing advanced predictive control systems for district heating networks and large-scale battery plants, in collaboration with industrial companies and energy utilities. In 2022, he joined Politecnico di Milano as Assistant Professor at Dipartimento di Elettronica, Informazione e Bioingegneria. He is Associate Editor for the International Journal of Adaptive Control and Signal Processing and for EUCA Conference Editorial Board. His research interests concern the theory and design of predictive, multi-agent and learning-based control systems, with particular emphasis on practical challenges arising from the upcoming energy transition. He was recipient of the Dimitris N. Chorafas Prize in 2020.

He received the Bachelor and Master degrees in Automation Engineering from the University of Bologna, both with honours, in 2014 and 2016 respectively. In 2020, he has received the Ph.D. degree in Control and Optimization from ETH - Zurich in the Automatic Control Laboratory (IfA) under the supervision of Prof. Maryam Kamgarpour. From 2020 to 2022, he has been a Postdoctoral researcher at the Automatic Control Laboratory, EPFL, working in the DECODE group with Prof. Giancarlo Ferrari Trecate. During this period, he has been a member of the National Center of Competence in Research (NCCR) Automation. In 2023, he has joined EPFL as a Principal Investigator (SNSF Ambizione Fellow) leading a research program on Reliable Machine Learning for Networked Control. His research focuses on learning and optimal control for distributed decision-making and large-scale safety critical applications.

He received the B.E.(Hons 1) and Ph.D. degrees in Electrical Engineering from the University of New South Wales, Australia, in 2002 and 2006, respectively. He has held research positions at Umea University, Sweden, and Massachusetts Institute of Technology, USA. In 2012 he joined the faculty at the University of Sydney, where he is currently Professor of Mechatronic Engineering, Director of the Australian Centre for Robotics (ACFR) and Director of the Australian Robotic Inspection and Asset Management Hub (ARIAM). His research interests include optimization and learning methods for nonlinear system analysis, identification, and control, and applications in robotics and biomedical engineering. He is an Associate Editor for IEEE Control Systems Letters and has previously served as an Associate Editor for IEEE Robotics \& Automation Letters.

She received the Ph.D. degree in Control Theory in 1991 and the HDR degree (Habilitation à Diriger des Recherches) in 1998 from University Paul Sabatier, Toulouse, France. Currently, she is a Senior Researcher at CNRS and a member of LAAS-CNRS, Toulouse. Her main research interests include analysis and control of linear and nonlinear systems with constraints (limited information), hybrid dynamical systems. She is currently Associate Editor for SIAM Journal of Control and Optimization. She is also Senior Editor for IEEE Control Systems Letters and Automatica. Furthermore, she is Deputy Editor-in-Chief of Automatica. She also acts as a member of IFAC and IEEE Technical Committees on Nonlinear Systems and Hybrid Systems.

He is a postdoctoral researcher at the Automatic Control Laboratory, EPFL - Lausanne, working in the DECODE group with Prof. Giancarlo Ferrari Trecate and he is a member of the National Centre of Competence in Research (NCCR) Automation. He obtained a Bsc. in Mechanical engineering and an Msc. with honour in Automation and Control engineering both from Politecnico di Milano. In February 2023, he received a Ph.D. degree in Systems and Control from Politecnico di Milano in the Safe Automation Systems Laboratory under the supervision of Prof. Lorenzo Fagiano. Danilo’s research interests include model predictive control, autonomous vehicles and machine learning.

He is a post-doctoral scientist at at the Automatic Control Laboratory, EPFL - Lausanne, working in the DECODE group with Prof. Giancarlo Ferrari Trecate on distributed control based on neural networks and machine learning. He obtained his bachelor's degree in Business Engineering from the University of Pisa in 2012 and his master's degree in Mathematical Engineering from Politecnico di Torino in 2015. During his master's, he was exposed to a diverse range of topics in applied mathematics. Leonardo then earned his PhD from Politecnico di Torino, where he researched graph and game theory. His research interests include optimization theory, machine learning, and financial mathematics.

He holds an Electrical and Electronics  Engineering degree from Bilkent University (Turkey) and a Bachelor of Science in Electrical Engineering from the Pakistan Institute of Engineering and Applied Sciences (Pakistan). His research interests include neural networks, nonlinear control, contraction theory,  port-Hamiltonian systems, and machine learning.