About Me
I am Chenxi Liu (刘晨曦), and you may also call me Dylan. Currently, I am an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Utah. I earned my Bachelor’s degree in Civil Engineering from Tsinghua University in 2017, and completed my MS and Ph.D. degree in Civil and Environmental Engineering at the University of Washington in 2020 and 2024, respecitively.
My research focused on the situation-aware customized machine intelligence to establish a connected and autonomous transportation system for safety, equity, and resiliency. More specifically, I prefer to develop advanced traffic sensing technologies (traffic environment sensing, 3D object sensing, crowds sensing, cooperative sensing) with distributed machine intelligence (edge computing) to build a connected and smart transportation system for various applications (SPaT challenge, intersection safety, dilemma zone mitigation).
🚀️Funded Ph.D. Student Positions Are Opening!!!🚀️
I am pleased to offer fully funded Ph.D. positions starting from Spring/Autumn 2026 in the Department of Civil and Environmental Engineering at University of Utah. Candidates will engage in cutting-edge research focused on customizing machine intelligence within the field of intelligent transportation. Key areas of research will include, but are not limited to:
- Integrated sensing technologies
- Cyber-physical cooperation
- Distributed computing
- Predictive control methods
- Generative Artificial Intelligence
If you are passionate about these research areas and enjoy living in Salt Lake City, which offers world-class skiing and numerous amazing national parks, I would be delighted to consider you for our team at University of Utah. Dedicated research experience or background is NOT required. We are looking for candidates who are driven by passions for the field and a commitment to long-term goals. Together, we can develop our research expertise.
Please send your transcript and CV to me at chenxi.liu@utah.edu. Let’s join forces and make a significant impact while having fun along the way!😄
Undergraduate/graduate visitors are also welcome.
🎉️ News
- New! Sep. 2024. The forum paper, “Potentials and Challenges of AI-Empowered Solutions to Urban Transportation Infrastructure Systems (UTIS): NSF AI-Transportation Workshop Phase I” was selected as the ASCE Editor’s Choice in Issue 9 - September 2024
- New! Apr. 2024. I will join the Department of Civil and Environmental Engineering at the University of Utah as an Assistant Professor in the upcming autumn semester.
- New! Apr. 2024. A new forum paper, “Potentials and Challenges of AI-Empowered Solutions to Urban Transportation Infrastructure Systems (UTIS): NSF AI-Transportation Workshop Phase I” was accepted by Journal of Transportation Engineering, Part A: Systems.
- New! Mar. 2024. A new research paper, “Traffic Performance Score: Measure Urban Mobility and Online Predict Near-term Traffic like Weather Forecast.” was published on Transportation Research Record.
- New! Mar. 2024. I was invited to serve as a member of the Edge Computing Subcommittee under the TRB Standing Committee on AI and Advanced Computing Applications.
- New! Feb. 2024. I have been invited to join the editorial board of Digital Transportation and Safety (DTS) as a young member.