Bio
Jinghui Yuan is an R&D staff member in the Applied Research for Mobility Systems (ARMS) group at Oak Ridge National Laboratory (ORNL). His research focuses on intelligent transportation systems, artificial intelligence, vehicle safety, digital twins, and connected and automated vehicles (CAVs). He has authored and co-authored over 40 peer-reviewed publications in leading journals such as Transportation Research Part A, C, and F; Accident Analysis & Prevention; IEEE Transactions on Intelligent Transportation Systems; IEEE Transactions on Vehicular Technology; and IEEE Transactions on Intelligent Vehicles. His publications have collectively received more than 3,000 citations, with an h-index of 28.
His contributions have been recognized with several prestigious awards, including the Best Poster Award at IEEE MASS 2022, the Best Paper Award from the China Journal of Highway and Transport, and selection as a Final-Stage Winner in the USDOT’s Solving for Safety Visualization Challenge.
He earned a B.S. in Civil Engineering from Central South University in Changsha, China, in 2013, followed by an M.S. in Transportation Planning and Management from Tongji University in Shanghai, China, in 2016. He received his Ph.D. in Transportation Engineering from the University of Central Florida in 2019.
Dr. Yuan is a senior member of IEEE and actively contributes to the transportation research community. He serves as a member of the ASCE Transportation & Development Institute (T&DI) Transportation Safety Committee, the Artificial Intelligence Committee, and the IEEE Vehicular Technology Society Ad Hoc Committee on Autonomous Vehicles. He is a advisory panel member for the Transportation Research Board’s Behavioral Traffic Safety Cooperative Research Program (BTSCRP) Project BTS-47: Assessing Effects of Speed Camera Programs on Pedestrian and Bicycle Crashes. He previously served as a member of the Transportation Research Board (TRB) Standing Committee on Road User Measurement and Evaluation (ACH50) and currently serves as Secretary of the IEEE Transportation Electrification Council – East Tennessee Chapter.
Professional Experience
Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
- R&D Staff, Apr. 2024 – Present
- R&D Associate Staff, Feb. 2022 – Mar. 2024
- Postdoctoral Research Associate, Jun. 2021 – Jan. 2022
University of Central Florida, Orlando, Florida, USA
- Postdoctoral Research Scholar, Aug. 2019 – May. 2021
- Graduate Research Assistant, Aug. 2016 – Aug. 2019
Tongji University, Shanghai, China
- Graduate Research Assistant, Aug. 2013 – Jul. 2016
Awards
- Supplemental Performance Award, Oak Ridge National Laboratory, (2023, 2024, 2025)
- Best Poster Award, The 19th IEEE International Conference on Mobile ad hoc and Smart Systems, IEEE MASS 2022, Oct 2022
- DOE OTT Energy I-Corps Cohort 14 (Entrepreneurial Lead), Mar 2022
- Best Paper Award, China Journal of Highway and Transport, Dec 2019
- Stage III Winner in the USDOT’s Solving for Safety Visualization Challenge, U.S. Department of Transportation, Nov 2019 (Lead algorithm developer)
- Graduate Excellence Award, U.S.DOT University Transportation Center (SAFERSIM), Oct 2019
Education
Ph.D., Civil Engineering (Transportation Engineering), University of Central Florida, Aug. 2019
M.S., Transportation Planning and Management, Tongji University, Jun. 2016
B.E., Civil Engineering, Central South University, Jun. 2013
Professional Affiliations
- Senior Member, IEEE