Speakers

Alessandro Fabris, Max Planck Institute for Security and Privacy (MPI-SP) Bochum, Germany

Eugenia Villa, Politecnico di Milano, Italy

Andreas A. Malikopoulos, Cornell University, USA

Carlos Canudas-de-Wit, CNRS, GIPSA-lab, France

Karl Johansson, KTH Royal Institute of Technology, Sweden

Zifan Wang, KTH Royal Institute of Technology, Sweden

Giulia De Pasquale, ETH Zürich, Switzerland

Naomi Leonard, Princeton University, USA

Ali Jadbabaie, MIT, USA

Mengbin Ye, Curtin University, Australia

Alessandro Fabris

Alessandro Fabris is a research fellow at Max Planck Institute for Security and Privacy. His research centers on defining, operationalizing, and measuring fairness, with a focus on domain-specific requirements, and a critical perspective on data management and ethics.

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Alessandro Fabris is a research fellow at Max Planck Institute for Security and Privacy working with Asia Biega, supported by the Alexander von Humboldt Foundation and the FINDHR project on fairness and non-discrimination in algorithmic hiring. He studies algorithmic fairness and auditing in information access systems. His research centers on defining, operationalizing, and measuring fairness, with a focus on domain-specific requirements, and a critical perspective on data management and ethics. Previously, he spent four years in industry working with IBM and Electrolux. To develop relevant solutions for pressing socio-technical issues, he aims to guide and translate policy into responsible computing practices that can be understood and adopted by practitioners.

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.

Andreas A. Malikopoulos

Andreas A. Malikopoulos is a Professor in the School of Civil \& Environmental Engineering and the Director of the Information and Decision Science Lab at Cornell University. His research interests span several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems.

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Andreas A. Malikopoulos is a Professor in the School of Civil \& Environmental Engineering and the Director of the Information and Decision Science Lab at Cornell University. Prior to these appointments, he was the Terri Connor Kelly and John Kelly Career Development Professor in the Department of Mechanical Engineering (2017-2023) and the founding Director of the Sociotechnical Systems Center (2019-2023) at the University of Delaware (UD). Before he joined UD, he was the Alvin M. Weinberg Fellow (2010-2017) in the Energy \& Transportation Science Division at Oak Ridge National Laboratory (ORNL), the Deputy Director of the Urban Dynamics Institute (2014-2017) at ORNL, and a Senior Researcher in General Motors Global Research \& Development (2008-2010). He received a Diploma from the National Technical University of Athens, Greece, and his M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2004 and 2008, respectively, all in Mechanical Engineering. His research interests span several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems. Dr. Malikopoulos is the recipient of several prizes and awards, including the 2007 Dare to Dream Opportunity Grant from the University of Michigan Ross School of Business, the 2007 University of Michigan Teaching Fellow, the 2010 Alvin M. Weinberg Fellowship, the 2019 IEEE Intelligent Transportation Systems Young Researcher Award, and the 2020 UD’s College of Engineering Outstanding Junior Faculty Award. He has been selected by the National Academy of Engineering to participate in the 2010 German-American Frontiers of Engineering (FOE) Symposium and organize a session on transportation at the 2016 European-American FOE Symposium. He has also been selected as a 2012 Kavli Frontiers of Science Scholar by the National Academy of Sciences. Dr. Malikopoulos has been an Associate Editor of the IEEE Transactions on Intelligent Vehicles and IEEE Transactions on Intelligent Transportation Systems from 2017 through 2020. He is an Associate Editor of Automatica and IEEE Transactions on Automatic Control, and a Senior Editor of IEEE Transactions on Intelligent Transportation Systems. He is a Senior Member of the IEEE, a Fellow of the ASME, and a member of the Board of Governors of the IEEE Intelligent Transportation Systems Society.

Carlos Canudas-de-Wit

Carlos Canudas-de-Wit is "Director of Research at the CNRS", where He teaches and conducts research in the area of control systems. He did lead and form the NeCS GIPSA-Lab (CNRS)-INRIA team on Networked Controlled Systems from 2006-2020. At present, His research focuses  on the control of large-scale and complex physical networks with application to  transportation networks and electromobility.


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Carlos Canudas-de-Wit was born in Villahermosa, Tabasco, Mexico in 1958. He received his B.Sc. degree in electronics and communications from the Technological Institute of Monterrey, Mexico in 1980. In 1984 he received his M.Sc. in the Department of Automatic Control, Grenoble, France. He was visitor researcher in 1985 at Lund Institute of Technology, Sweden. In 1987 he received his Ph.D. in automatic control from the Polytechnic of Grenoble (Department of Automatic Control), France. Since then he has been working at the same department as "Director of Research at the CNRS", where He teaches and conducts research in the area of control systems. He did lead and form the NeCS GIPSA-Lab (CNRS)-INRIA team on Networked Controlled Systems from 2006-2020. He has established several industrial collaboration projects with major French companies (FRAMATOME, EDF, CEA, IFREMER, RENAULT, SCHNEIDER, ILL, IFP, ALSTOM). He has been associate editor of the IEEE-Transaction on Automatic Control, from 1992 to 1997, AUTOMATICA, from 1999 to 2002, and IEEE Transaction on Control of System Networks (2013-18), IEEE Transaction on Control System Technology (Since 2014-18).  He is currently Senior editor of the Asian Journal of Control (since 2010), , and the IEEE Transaction on Control of System Networks (since 2021).  He holds the presidency of the European Control Association (EUCA) for the period 2013-15, and served at the IEEE Board of Governors of the Control System Society 2011-2014. He holds the ERC Advanced-Grant 2015 Scale-FreeBack for the period 2016-2022, and the PoC (from the EC) eMob-Twin 2023-24. He is IEEE-Fellow of the IEEE Control System Society. He is also IFAC-Fellow. His research publications include: 200 International conference papers, and 90 published papers in international journals, 5 books, 10 Book chapter, and holds 11 Patents. At present, His research focuses  on the control of large-scale and complex physical networks with application to  transportation networks and electromobility.

Karl Johansson

Karl H. Johansson is Swedish Research Council Distinguished Professor in Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Sweden and Director of Digital Futures. His research interests are in networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks. 

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Karl H. Johansson is Swedish Research Council Distinguished Professor in Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Sweden and Director of Digital Futures. He received MSc degree in Electrical Engineering and PhD in Automatic Control from Lund University. He has held visiting positions at UC Berkeley, Caltech, NTU among other institutions. His research interests are in networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks. He is Vice President IEEE Control Systems Society, member of IFAC Council, and Past President of the European Control Association, and he has served on the IEEE Control Systems Society Board of Governors and the Swedish Scientific Council for Natural Sciences and Engineering Sciences. He has received 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, IEEE Control Systems Society Distinguished Lecturer, and 2024 IEEE Control Systems Society Hendrik W. Bode Lecture Prize. He is Fellow of the IEEE and the Royal Swedish Academy of Engineering Sciences.

Zifan Wang

Zifan Wang is a Ph.D. student affiliated with the Division of Decision and Control Systems (DCS) at KTH Royal Institute of Technology, jointly working with Prof. Karl H. Johansson and Prof. Michael M. Zavlanos. His research interests lie in online optimization, risk-averse learning, game theory, and learning-based control.


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Zifan Wang is a Ph.D. student affiliated with the Division of Decision and Control Systems (DCS) at KTH Royal Institute of Technology, jointly working with Prof. Karl H. Johansson and Prof. Michael M. Zavlanos. He received his B.S. and M.S. degrees from Harbin Institute of Technology. His research interests lie in online optimization, risk-averse learning, game theory, and learning-based control.

Giulia De Pasquale

Giulia De Pasquale is currently a PostDoc at ETH Zürich, Switzerland. Her current research interests include modeling, analysis and control of networked sociotechnical systems.


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Giulia De Pasquale is currently a PostDoc at ETH Zürich, Switzerland. She took the PhD in Control and Systems Engineering at the University of Padova, Italy,  in 2023. In 2021/2022 She was a Visiting Research Scholar at the University of California, Santa Barbara. She took both the Master Degree in Control Engineering and the Bachelor Degree in Information Engineering from the University of Padova in 2019 and 2017 respectively. During the Master Degree she took part in the Erasmus program with a research experience at the Luleå Tekniska Universitet, Sweden, in collaboration with RI.SE SICS Luleå and ABB Västerås. In 2018 she spent six months as a Visiting Student at ETH Zürich, Switzerland. Her current research interests include modeling, analysis and control of networked sociotechnical systems.

Naomi Leonard

Naomi Ehrich Leonard is Chair and Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and associated faculty in Applied and Computational Mathematics at Princeton University. Her current research focuses on dynamics, control, and learning for multi-agent systems on networks with application to multi-robot teams, collective animal behavior, and other networked systems in nature, technology, and the arts.


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Naomi Ehrich Leonard is Chair and Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and associated faculty in Applied and Computational Mathematics at Princeton University.  She is also Founding Editor of the Annual Review of Control, Robotics, and Autonomous Systems. She received her BSE in Mechanical Engineering from Princeton University and her PhD in Electrical Engineering from the University of Maryland.  She is a MacArthur Fellow, elected member of the American Academy of Arts and Sciences, and winner of the 2023 IEEE Control Systems Award. Leonard is Fellow of IEEE, SIAM, IFAC, and ASME.  Her current research focuses on dynamics, control, and learning for multi-agent systems on networks with application to multi-robot teams, collective animal behavior, and other networked systems in nature, technology, and the arts.

Ali Jadbabaie

Ali Jadbabaie (Fellow, IEEE) is currently the JR East Professor and the Head of the Department of Civil and Environmental Engineering, a Core Faculty Member with the Institute for Data, Systems and Society (IDSS), and a PI with the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. His current research interests include the interplay of dynamic systems and networks with a specific emphasis on multi-agent coordination and control, distributed optimization, network science, and network economics. 


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Ali Jadbabaie (Fellow, IEEE) received the B.S. degree from the Sharif University of Technology, Tehran, Iran, in 1995, the M.S. degree in electrical and computer engineering from the University of New Mexico, Albuquerque, NM, USA, in 1997, and the Ph.D. degree in control and dynamical systems from the California Institute of Technology, Pasadena, CA, USA, in 2000. He is currently the JR East Professor and the Head of the Department of Civil and Environmental Engineering, a Core Faculty Member with the Institute for Data, Systems and Society (IDSS), and a PI with the Laboratory for Information and Decision Systems, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. Previously, he was the Director of the Sociotechnical Systems Research Center, MIT, and the Associate Director of IDSS, MIT, which he helped found in 2015. He was a Post-Doctoral Scholar with Yale University, New Haven, CT, USA, before joining the Faculty of the University of Pennsylvania, Philadelphia, PA, USA, where he was subsequently promoted through the ranks and was the Alfred Fitler Moore Professor in network science with the Department of Electrical and Systems Engineering with secondary appointments in computer and information science and operations, information and decisions with The Wharton School. His current research interests include the interplay of dynamic systems and networks with a specific emphasis on multi-agent coordination and control, distributed optimization, network science, and network economics. As a member of the General Robotics, Automation, Sensing and Perception Laboratory, University of Pennsylvania, he was also the Co-Founder and the Director of the Raj and Neera Singh Program in Networked and Social Systems Engineering (NETS), a new undergraduate interdisciplinary degree program. He was the Inaugural Editor-in-Chief of IEEE Transactions on Network Science and Engineering, a new interdisciplinary journal sponsored by several IEEE societies. He was a recipient of the National Science Foundation Career Award, Office of Naval Research Young Investigator Award, O. Hugo Schuck Best Paper Award from the American Automatic Control Council, George S. Axelby Best Paper Award from the IEEE Control Systems Society, and a Vannevar Bush Fellowship from the Office of Secretary of Defense. He is a senior author of several student best paper awards.

Mengbin Ye

Mengbin Ye  has a four-year Western Australian Premier's Early to Mid-Career Fellowship, hosted by Curtin University at the Centre for Optimisation and Decision Science.

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Mengbin Ye received the B.E. degree (with First Class Honours) in mechanical engineering from the University of Auckland, Auckland, New Zealand in 2013. His Ph.D. degree in engineering was completed under the supervision of Emeritus Professor Brian D.O. Anderson, AC, at the Australian National University, Canberra, Australia in 2018. From 2018-2020, he was a postdoctoral researcher with the Faculty of Science and Engineering, University of Groningen, Netherlands. From 2020 - 2021, he was an Optus Fellow at the Optus–Curtin Centre of Excellence in Artificial Intelligence, Curtin University, Perth, Australia. In 2021, he commenced a four-year Western Australian Premier's Early to Mid-Career Fellowship, hosted by Curtin University at the Centre for Optimisation and Decision Science.