Silvia Francesca Varotto, Ph.D., LICIT-ECO7, ENTPE, Gustave Eiffel University, France
Dr Silvia Varotto has been working as an assistant professor in transportation modelling at École Nationale des Travaux Publics de l'État and Université Gustave Eiffel (France) since 2022. She was a postdoctoral researcher at Ecole Polytechnique Fédérale de Lausanne (Switzerland) from 2021 to 2022 and SWOV Institute for Road Safety Research (the Netherlands) from 2018 to 2021. She obtained her PhD at Delft University of Technology (the Netherlands) in 2018. She is an expert in on-road and driving simulator experiments with emerging technologies, and in advanced choice and regression modelling of behaviour for different classes of road users.
Christine Buisson, Ph.D., LICIT-ECO7, Gustave Eiffel University, ENTPE, France
Dr Christine Buisson is a senior researcher at the LICIT-ECO7 laboratory (a joint unit of the University Gustave Eiffel and ENTPE) in Lyon, France. She has a background in transport data analysis and modeling, and her research covers a wide range of topics related to road traffic flow—particularly using openly accessible trajectory data on human-driven vehicles and ACC—as well as railroad systems for mass transit.
Zuduo Zheng, Ph.D., University of Queensland, Australia
Dr Zuduo Zheng is a Full Professor at School of Civil Engineering, University of Queensland, and TAP Co-Chair sponsored by Queensland Department of Transport and Main Roads. His research primarily focuses on understanding emerging, disruptive, and intelligent mobility technologies’ impact on traffic efficiency, traffic safety, energy consumption, vehicle emissions, etc. He is currently listed as the Top 2% of Scientists in Logistics and Transportation by Scopus & Stanford University. He has won many prestigious awards, and serves/served as editor, guest editor or editorial board member of several prestigious journals.
Nicolas Saunier, Ph.D., Polytechnique Montréal, Canada
Dr Nicolas Saunier holds an engineering degree and a Doctorate (Ph.D.) in computer science from Télécom Paris (2005). He worked for four years at the French National Research Institute on Transport and Safety (formerly IFSTTAR, now part of Gustave Eiffel University) for his doctorate, followed by four years as a postdoctoral fellow and research associate in the Department of Civil Engineering at the University of British Columbia (UBC) with Prof. Tarek Sayed. In 2015, he spent a four-month sabbatical in the Road and Transport Department at Lund University. He was hired in 2009 by the Civil, Geological, and Mining Engineering Department at Polytechnique Montréal, where he is currently a full professor in Transportation Engineering. Specializing in artificial intelligence, his research interests include intelligent and active transportation, road safety, and data science for transportation.
Cathy Wu, Ph.D., Massachusetts Institute of Technology, United States
Dr Cathy Wu is an Associate Professor at MIT in LIDS, CEE, and IDSS. She holds a Ph.D. from UC Berkeley, and B.S. and M.Eng. from MIT, all in EECS, and completed a Postdoc at Microsoft Research. Her research aims to leverage machine learning to solve hard optimization problems for next-generation mobility systems. She is broadly interested in leveraging modern computing and AI to advance decision making. Cathy has received a number of awards, including the NSF CAREER, PhD dissertation awards, and publications with distinction. She serves on the Board of Governors for the IEEE ITSS, is a Program Co-chair for RLC 2025, and is an AC/AE for ICML, NeurIPS, and ICRA. She is also helping spearhead efforts towards reproducible research in transportation.
