Giuseppe Notarstefano is a Professor in the Department of Electrical, Electronic, and Information Engineering G. Marconi at Alma Mater Studiorum Università di Bologna, where he has been Director of Degree of Automation Engineering from 2019 to 2025. He was Associate Professor (June ‘16 – June ‘18) and previously Assistant Professor, Ricercatore, (from Feb ‘07) at the Università del Salento, Lecce, Italy. He received the Laurea degree “summa cum laude” in Electronics Engineering from the Università di Pisa in 2003 and the Ph.D. degree in Automation and Operation Research from the Università di Padova in 2007. He has been visiting scholar at the University of Stuttgart, University of California Santa Barbara and University of Colorado Boulder. His research interests include distributed optimization, cooperative control in complex networks, applied nonlinear optimal control, and trajectory optimization and maneuvering of aerial and car vehicles.
He has served as an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology and IEEE Control Systems Letters. He has been part of the Conference Editorial Board of IEEE Control Systems Society and EUCA. He was recipient of the IEEE TCNS outstanding paper award 2021 and his students have received awards for best student papers and theses including the EECI European PhD award on Systems and Control. He was a recipient of an ERC Starting Grant 2014.

Matthias A. Müller received a Diploma degree in engineering cybernetics from the University of Stuttgart, Germany, an M.Sc. in electrical and computer engineering from the University of Illinois at Urbana-Champaign (both in 2009), and a Ph.D. in mechanical engineering from the University of Stuttgart in 2014. Since 2019, he is Director of the Institute of Automatic Control and Full Professor at the Leibniz University Hannover, Germany. His research interests include nonlinear control and estimation, model predictive control, and data- and learning-based control, with application in different fields including biomedical engineering and robotics. He has received various recognitions for his work, including the European Systems & Control PhD Thesis Award, an ERC Starting Grant from the European Research Council, the IEEE CSS George S. Axelby Outstanding Paper Award, the Brockett-Willems Outstanding Paper Award, and the Journal of Process Control Paper Award. He serves/d as an associate editor for Automatica and as an editor of the International Journal of Robust and Nonlinear Control.

Azita Dabiri is an Assistant Professor at Delft Center for Systems and Control, TU Delft. She obtained her PhD from the Automatic Control Group at Chalmers University, Sweden. From 2017 to 2019, she was a postdoctoral researcher at TU Delft, and from 2019-2020 she was a Marie-Curie fellow at Norwegian University of Science and Technology (NTNU). Her ongoing research focuses on the intersection of model-based and learning-based control frameworks, and on the application of machine learning for the control of dynamical systems.

Danilo Saccani 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.

Max Studt completed his B.Sc. (2021) and M.Sc. (2024) in Medical Engineering at the University of Lübeck. During his studies, he gained industry and research experience through an internship in medical robotics, work at an exoskeleton startup, and his master’s thesis in the automotive sector. Since September 2024, he has been pursuing a Ph.D. at the Institute for Medical Engineering (IME) in the research group led by Professor Georg Schildbach. His research interests include control theory with a focus on model predictive control, flatness-based control and learning-based control, particularly in the context of multi-agent systems, as well as autonomous systems and motion planning.