Ezra's Round Table / Systems Seminar: Xuan Sharon Di (Columbia)
Location
Frank H. T. Rhodes Hall 253
Description
Harnessing Mean Field Game and Physics-Informed Deep Learning for Emerging Transportation Modeling
Emerging transportation technology is expected to revolutionize the future transportation ecosystem. My research aims to develop optimal control for autonomous vehicle (AV) fleets to navigate mixed traffic consisting of AVs and human drivers. In this talk, I will introduce how we leverage mean-field games to control AVs on networks, and how we apply physics-informed deep learning for human behaviors.
Bio:
Xuan (Sharon) Di is an Associate Professor in the Department of Civil Engineering and Engineering Mechanics at Columbia University and serves on a committee for the Smart Cities Center in the Data Science Institute. Prior to joining Columbia, she was a Postdoctoral Research Fellow at the University of Michigan Transportation Research Institute (UMTRI). She received her Ph.D. from the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities in 2014. Dr. Di received a number of awards including the NSF CAREER, Transportation Data Analytics Contest Winner from Transportation Research Board (TRB), the Dafermos Best Paper Award Honorable Mention from the TRB Network Modeling Committee, Outstanding Presentation Award from INFORMS, and the Best Paper Award and Best Graduate Student Scholarship from North-Central Section Institute of Transportation Engineers (ITE). She also serves as the reviewer for a number of journals, including Transportation Science, Transportation Research Part B/C/D, European Journal of Operational Research, Networks and Spatial Economics, IEEE ITS, and Transportation.
Dr. Di directs the DitecT (Data and innovative technology-driven Transportation) Lab at Columbia. Her research lies at the intersection of game theory, dynamic control, and machine learning. She is specialized in emerging transportation systems optimization and control, shared mobility modeling, and data-driven urban mobility analysis. Details about DitecT Lab and Prof. Sharon Di’s research can be found at http://sharondi-columbia.wixsite.com/ditectlab.