I am a Ph.D. candidate in the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota, Twin Cities. My research is under the supervision of Dr. Raphael E. Stern at the Transportation Cyber-Physical System (TCPS) Lab. I received an MSc degree in Civil Engineering from the University of Illinois, Urbana-Champaign (UIUC) in 2018 and a BSc degree in Civil Engineering from Southwest Jiaotong University, Chengdu, China, in 2017.

My research interests focus on traffic dynamic modeling, traffic simulations and control, electric vehicles, traffic cyberattacks, and the impacts of mixed-autonomy traffic flow. Please find my CV for more details.

News and Updates

• Jan. 2024: Our paper, ‘‘A Two-Condition Continuous Asymmetric Car-Following Model for Adaptive Cruise Control Vehicles,’’ was published in IEEE Transactions on Intelligent Vehicles. Early access can be found here.
• Nov. 2023: I received the 2023 ITS Minnesota Educational Scholarship from ITS Minnesota
• Oct. 2023: I presented the joint work with Dr. Shian Wang, ‘‘Analytical characterization of cyberattacks on adaptive cruise control vehicles’’, at the Fall 2023 CEGE Transportation Seminar, Minneapolis, MN
• Sep. 2023: I presented my work ‘‘Capacity implications of personalized adaptive cruise control’’ at the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain
• Jun. 2023: I presented my work ‘‘Impacts of mixed autonomy traffic flow with adaptive cruise control vehicles on fuel consumption and emissions’’ at the 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France
• May. 2023: I received the Matthew J. Huber Award from the Center for Transportation Studies (CTS) at the University of Minnesota
• Apr. 2023: I received the 2023-24 Doctoral Dissertation Fellowship at the University of Minnesota
• Jan. 2023: I presented my work ‘‘Modeling adaptive cruise control vehicle dynamics: A two-condition continuous asymmetric car-following model’’ at the 2023 Transportation Research Board 102nd Annual Meeting, Washington DC