Andreas 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 UDs 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.
Fabio Papparella is a Ph.D. candidate in the Control Systems Technology (CST) section of the Mechanical Engineering department at Eindhoven University of Technology, The Netherlands. He is currently a visiting Ph.D. student at eCal, in the Civil and Environmental Engineering department at UC Berkeley. He studied Mechanical Engineering at Politecnico di Milano, Italy, where he received his Bachelor’s degree in 2017 and his Masters degree cum laude in 2020, with a thesis in collaboration with NASA Jet Propulsion Laboratory in California, USA. His research interests include mobility-on-demand, smart mobility, and optimization.
Gioele Zardini is an incoming faculty at MIT in Fall 2024, and currently a Postdoctoral Scholar in the Department of Aeronautics and Astronautics at Stanford University. He received his BSc., MSc., and Ph.D. in Mechanical Engineering with a focus on Robotics, Systems, and Control from ETH Zurich in 2017, 2019, and 2023 respectively. He spent time in Singapore as a researcher at nuTonomy (then Aptiv, now Motional), at Stanford University (working with Marco Pavone) and at MIT (in 2020 working with David Spivak, and in 2023 with Munther Dahleh). Driven by societal challenges, the goal of his research is to develop efficient computational tools and algorithmic approaches to formulate and solve complex, interconnected system design and autonomous decision making problems. His research interests include the codesign of sociotechnical systems, compositionality in engineering, applied category theory, decision and control, optimization, and game theory, with applications to intelligent transportation systems, autonomy, and complex networks and infrastructures. He is the creator of Autonomy Talks (an International seminar series promoting a diverse research exchange on autonomy), as well as a lead organizer for the seminal workshops Compositional Robotics: Mathematics and Tools, and Co-Design and Coordination of Future Mobility Systems at IEEE ICRA and ITSC, respectively. He is the recipient of a paper award at the 4th Applied Category Theory Conference, the Best Paper Award (1st Place) at the 24th IEEE International Conference on Intelligent Transportation Systems (ITSC), DoE, and Amazon awards.
Kenan Zhang is a tenure-track Assistant Professor at the cole Polytechnique Fdrale de Lausanne (EPFL) and leads the Laboratory for Human-Oriented Mobility Eco-system (HOMES). Her research focuses on the mathematical modeling, optimization and operations management of urban transportation systems, with special interests in emerging mobility services and technologies.
Maria Laura Delle Monache is an assistant professor in the Department of Civil and Environmental Engineering at the University of California, Berkeley. Prior to joining the faculty at UC Berkeley, she was a research scientist at Inria in Grenoble, France (2016- 2021) and a Postdoctoral fellow at Rutgers University - Camden in USA (2014-2016). She received the Ph.D. degree in applied mathematics from the University of Nice-Sophia Antipolis, France in 2014. She is a member of the IEEE CSS Technical Committee on smart cities and of the Standing Committee on Traffic Flow Theory and Characteristics of the Transportation Research Board (NASEM). She is the recipient of the 2023 IEEE TCCPS Mid-career award and the 2023 IEEE ITSS Young researcher/Engineer award. Dr. Delle Monaches research lies at the intersection of transportation engineering, mathematics, and control theory.
Tae J. Kwon is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta. He began his faculty tenure in 2016 as an Assistant Professor immediately after completing his Ph.D. at the University of Waterloo, where he received the prestigious Ph.D. dissertation award. Dr. Kwon’s research focuses on optimizing the location allocation of Intelligent Transportation System (ITS) facilities as well as winter transportation and road maintenance. His expertise extends to geographic information sciences and remote sensing applications in transportation, and spatial and temporal analyses of road traffic and safety using spatial statistics, deep learning, and explainable AI. His contributions have earned him several accolades including the Great Supervisor Award from the Faculty of Graduate Studies and Research in 2019, and the Faculty of Engineering Early-Career Research Award in 2020 for his research excellence and influence at both national and international levels. Most recently in 2024, he was honoured with the ITS Canada Excellence in Research and Development Award for his continued dedication to advancing the field of transportation engineering in Canada and beyond. Dr. Kwon is currently serving on many international committees, notably as a standing member and communication coordinator of the TRB Road Weather Committee (AKR50).