Organizers

Angela Fontan is an Assistant Professor with the Division of Decision and Control Systems, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden.

She received a BS degree in Information Engineering in 2013 and a MS degree (with honor) in Automation Engineering in 2016, from the University of Padova, Italy. She received a PhD degree in Electrical Engineering with specialization in Automatic Control in September 2021, from the Division of Automatic Control, Linköping University, Sweden. From 2021 to 2024, she was a Postdoctoral researcher at the Division of Decision and Control Systems, KTH Royal Institute of Technology. Her research interests are in the area of networked cyber-physical-human systems and nonlinear dynamics over networks, with applications to social networks, collective decision-making processes, and Live-in Laboratories.

Karl Henrik Johansso received the MS degree in electrical engineering and the PhD degree in automatic control from Lund University, Lund, Sweden, in 1992 and 1997, respectively. He is currently a Swedish Research Council Distinguished Professor of electrical engineering and computer science with KTH Royal Institute of Technology, Stockholm, Sweden, where he is also the Director of Digital Futures. He has held visiting positions at UC Berkeley, Caltech, NTU among other institutions. He has coauthored more than 800 journal and conference papers in his research areas which include networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks, and supervised almost 100 postdocs and PhD students. He is the President of European Control Association and Member of IFAC Council, and has served on the IEEE Control Systems Society Board of Governors and the Swedish Scientific Council for Natural Sciences and Engineering Sciences. He was the recipient of several best paper awards and other distinctions from IEEE, IFAC, and ACM. He has been awarded Distinguished Professor by Swedish Research Council, Wallenberg Scholar with the Knut and Alice Wallenberg Foundation, Future Research Leader from the Swedish Foundation for Strategic Research, the triennial IFAC Young Author Prize, and IEEE Control Systems Society Distinguished Lecturer. He is Fellow of the Royal Swedish Academy of Engineering Sciences.

Pedro U. Lima is a Full Professor at Instituto Superior Técnico, University of Lisbon. He obtained his Habilitation degree in Electrical and Computer Engineering in 2005 from Instituto Superior Técnico, University of Lisbon, and the PhD in Electrical Engineering in 1994 from the Rensselaer Polytechnic Institute, Troy NY, US, Master's degree in Electrical and Computer Engineering in 1989 from Instituto Superior Técnico, University of Lisbon, and Licenciatura Degree (5 years) in Electrical and Computer Engineering in 1984 from Instituto Superior Técnico, University of Lisbon. He has published more than 200 articles in journals, book chapters, and scientific conferences. He is co-author of 2 books. He has received 7 award(s) and/or honors. He works in the area(s) of Engineering Sciences and Technologies with an emphasis on Computer Engineering, namely Robotics and Artificial Intelligence, with applications to multi-robot systems and networked robot systems. Prof. Lima is currently the President of the institute for Systems and Robotics, an R&D unit part of the LARSyS research center, located at the Instituto Superior Técnico. He is also Trustee and Vice-President of the RoboCup Federation since 2023.

Sérgio Pequito is an Associate Professor in the Department of Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon, and a principal investigator in the Evolutionary Systems and Biomedical Engineering Lab at the Institute for Systems and Robotics in Lisbon. Pequito's research consists of understanding the global qualitative behavior of large-scale systems from their structural or parametric descriptions and provides a rigorous framework for the design, analysis, optimization, and control of large-scale systems. Currently, his interests span to neuroscience and biomedicine, where dynamical systems and control theoretic tools can be leveraged to develop new analysis tools for brain dynamics toward effective personalized medicine and improve brain-computer and brain-machine-brain interfaces. Pequito was awarded the best student paper finalist in the 48th IEEE Conference on Decision and Control (2009) and the 2016 O. Hugo Schuck Award in the Theory Category by the American Automatic Control Council.

Alessandro Rizzo received the MS (summa cum laude) in computer engineering and the PhD degree in automation and electronics engineering from the University of Catania, Italy, in 1996 and 2000, respectively. In 1998, he worked as a EURATOM Research Fellow with JET Joint Undertaking, Abingdon, UK, researching on sensor validation and fault diagnosis for nuclear fusion experiments. In 2000-01, he has worked as a Research Consultant at ST Microelectronics, Catania Site, Italy, and as an Industry Professor of robotics with the University of Messina, Italy. From 2002 to 2015, he was a tenured Assistant Professor with the Politecnico di Bari, Italy. Since 2012, he has been a Visiting Professor with the New York University Tandon School of Engineering, Brooklyn NY, US. In 2015, he joined Politecnico di Torino, where he is an Associate Professor in the Department of Electronics and Telecommunications and established the Complex Systems Laboratory. Dr. Rizzo is engaged in conducting and supervising research on cooperative robotics, complex networks and systems, modeling and control of nonlinear systems. He is the author of two books, two international patents, and about 200 papers on international journals and conference proceedings. He has been a recipient of the Award for the Best Application Paper at the IFAC WC in 2002 and of the Award for the Most Read Papers in Mathematics and Computers in Simulation (Elsevier) in 2009. He has also been a Distinguished Lecturer of the IEEE Nuclear and Plasma Science Society and one of the recipients of the 2019 and 2021 Amazon Research Awards in robotics.

Lorenzo Zino is an Assistant Professor with the Department of Electronics and Telecommunications at Politecnico di Torino (Turin, Italy), since 2022. He received the BS and MS in Mathematical Engineering from Politecnico di Torino, Torino, Italy, in 2012 and 2014, respectively, and the PhD in Pure and Applied Mathematics (with honors) from Politecnico di Torino and Università di Torino (joint doctorate program), in 2018. He was a Research Fellow at Politecnico di Torino (2018--19) and the University of Groningen (2019--22) and a Visiting Research Assistant at New York University Tandon School of Engineering (2017--18 and 2019). His current research interests include modeling, analysis, and control of dynamics over complex networks, applied probability, network analysis, and game theory. He authored or coauthored more than 60 international scientific publications including more than 40 papers in scientific journals. He is Associate Editor of the \emph{Journal of Computational Science}, and member of the CEB for the IEEE CSS and the EUCA.