Publications: 'LangCoop: Collaborative Driving with Language' received the Best Paper Award at the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2025, Workshop on Multi-agent Embodied Intelligent Systems; 'A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models' accepted and published in Transportation Research Record.
Awards: The University of Utah Transportation Team, in collaboration with the Utah Department of Transportation, was selected as one of the three finalists in the National Operations Center of Excellence (NOCoE) Transportation Technology Tournament (TTT); Ph.D. student Fengze Yang received a $1,000 scholarship to support his presentation in the Mountain District ITE Conference; Ph.D. student Xuewen Luo was selected for the 2025 IEEE Intelligent Transportation Systems Society (ITSS) Fellowship Program for Promoting Women, Young Professionals.
Research Experience
Currently an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Utah. Research areas include integrated sensing technologies, cyber-physical cooperation, distributed computing, predictive control methods, and generative artificial intelligence.
Education
Bachelor's degree in Civil Engineering from Tsinghua University in 2017; MS and Ph.D. in Civil and Environmental Engineering from the University of Washington in 2020 and 2024, respectively.
Background
Research Interests: Situation-aware customized machine intelligence to establish a connected and autonomous transportation system for safety, equity, and resiliency. Specifically, developing advanced machine intelligence, generative artificial intelligence, and distributed learning structures.
Miscellany
Hobbies: Enjoys world-class skiing and numerous amazing national parks in Salt Lake City.