Profile

Profile

Lili Du, Ph.D. |Professor

Department of Civil & Coastal Engineering

Department of Industrial and System Engineering (Affiliate)

Nelms Institute for Connected World Semmoto (courtesy)

University of Florida

Chair of AEP40-5|Emerging Technologies in Network Modeling, TRB

Chair of AI in Transportation Committee|Transportation & Development Institute, ASCE

Group leader of Resilience and Sustainbility Initiative, UFTI

UF page | CV | Google Scholar | Linked in

Bio

Dr. Lili Du is a professor in the Civil and Coastal Engineering Department at the University of Florida. She received her Ph.D. degree in Decision Sciences and Engineering Systems with a minor in Operations Research and Statistics from Rensselaer Polytechnic Institute in 2008, MS degree in Industrial Engineering from Tsinghua University in 2003, and her BS degree in Mechanical Engineering from Xi’an Jiaotong University, China in 1998.

Dr. Du’s research is characterized by integrating operations research, network modeling, game theory, control theory, machine learning, and statistical methods into traffic flow analysis, transportation system analysis, urban planning, and network modeling. Her ongoing research primarily centers on next-generation smart, green, and shared transportation systems, encompassing connected and/or autonomous vehicles, electric vehicles, mobility on demand, smart curb technologies, network resilience, and traffic flow analysis. Dr. Du’s research has been published in Transportation Research Part B, Part C, and Part D, IEEE Transactions on ITS, Networks, and Spatial Economics. Her research has been funded by the National Science Foundation (NSF), State Department of Transportation (DOT), US DOT STRIDE University Transportation Center (UTC), FMRI UTC, and Toyota InfoTechnology Center.

Dr. Du was a recipient of the NSF CAREER award in 2016. Her “Driverless City” project won the First Nayar Prize at IIT. She is the founding and active chair of both TRB AEP40-4 subcommittee on Emerging Technologies in Network Modeling and ASCE-T&DI Artificial Intelligence in Transportation Committee. She serves as an editor for Transportation Research Part B: Methodological, an associate editor for IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, and a member of the editorial advisory board for Transportation Research Part C: Emerging Technologies.

Research Interests

  • Transportation system analysis and network modeling
  • CV/AV/CAV/EV related network modeling and platooning control
  • Big data analytics for traffic flow analysis
  • AI applications in transportation systems
  • Resilient civil infrastructure networks
  • Mobility as a service

Award

  • NRC Renowned Research Associate Award, FHWA Turner-Fairbank Highway Research Center, 2023.
  • National Science Foundation CAREER Award (2016) for the research on Integrated Online Coordinated Routing and Decentralized Control for Connected Vehicle Systems
  • Finalist of Illinois Institute of Technology inaugural Nayar Prize (2015) for the research on Driverless City Project
  • National Science Foundation Award, CMMI 1436786 (2014) for Collaborative Research: Coordinated Real-Time Traffic Management Based on Dynamic Information Propagation and Aggregation under Connected Vehicle Systems

Editorial Service

  • Member of Editorial Board Editors for Transportation Research Part B: Methodological
  • Member of Editorial Advisory Board for Transportation Research Part C: Emerging Technologies
  • Member of Associate Editors for IEEE transactions on ITS
  • Member of Editorial Board for International Journal of Transportation Science and Technology
  • Member of Editorial Board for Transportation Research Record
  • Member of Editorial Board for the International Journal of Business Analytics, 2013 – 2018
  • Associate Editor for the 17th, 18th International IEEE Conference on Intelligent Transportation Systems
  • Guest Editor for IEEE ITS Special Issue on Modeling Dynamic Transportation Networks in the Age of
    Connectivity, Autonomy and Data

International Academia Committee