Shi Ye

E-mail

ye.shi@kaist.ac.kr

Education

• MS, Transportation, Central South University, China, 2023
• B.S., Transportation, Zhejiang Normal University, China, 2020

Research Topics

• Driving behavior, driving simulator experiments
• Driving safety, human factors in connected environment
• Applications of statistical models

LinkedIn: https://www.linkedin.com/in/shi-ye-5174b0290/?locale=ko_KR

Google scholar: https://scholar.google.com/citations?user=i1Y-JIEAAAAJ&hl=zh-CN

Research Papers

·        PhD

• Ye, S., Chen, T., Oviedo-Trespalacios, O., Ali, Y., Oh, T., & Kim, I. (2025). How do the drivers react to different C-V2X-based communication conditions in dilemma zones? A driving simulator study. Accident Analysis & Prevention, 221, 108208. https://doi.org/10.1016/j.aap.2025.108208.
• Fu, H., Fu, X., Ye, S., Wang, K., & Chen, T. (2025). Understanding preferences for autonomous trucks functions in China: Insights from drivers and organizational buyers. Transport Policy， https://doi.org/10.1016/j.tranpol.2025.05.019.
• Ju, Y., Ye, S., Chen, T., Xing, G., & Chen, F. (2025). How do drivers manage speed at tunnel entrances? Insights from uncorrelated grouped random parameters duration models for model invalidation and performance recovery times. Analytic Methods in Accident Research, https://doi.org/https://doi.org/10.1016/j.amar.2025.100371.
• Fu, H., Ye, S., Fu, X., Chen, T., & Zhao, J. (2025). New insights into factors affecting the severity of autonomous vehicle crashes from two sources of AV incident records. Travel Behaviour and Society, https://doi.org/10.1016/j.tbs.2024.100934.
• Ye, S., Chen, T., Oviedo-Trespapacios, O., & Sze, N.N. (2024). Investigating work-related distraction’s impact on male taxi driver safety: A hazard-based duration model, Analytic Methods in Accident Research, https://doi.org/10.1016/j.amar.2024.100350.

·       

Awards

·        The First-Prize of the 27th HKSTS Outstanding Student Paper Award, 11-12 Dec, 2023, Hong Kong, with a cash prize of HK$ 5,000, award website: https://www.hksts.org/awards_frame.htm

Zixuan Xu

E-mail

zixuan.xu@kaist.ac.kr

Personal website

https://zixuan-xu72.github.io/

Education

• MS, Data-Driven Modeling, HKUST, HongKong, 2023
• BS, Traffic Engineering, Tongji University, China, 2022

Research Topics

• Generative AI (LLM, VLM)
• Human-Machine Interaction (HMI) in Autonomous Vehicles
• Human Factors
• AI Trustworthiness 

Linkedin: https://www.linkedin.com/in/zixuan-xu72
Google Scholar: https://scholar.google.com/citations?hl=en&user=OtcxWQMAAAAJ

Research Papers

• Zixuan Xu, Tiantian Chen*, Zilin Huang, Yang Xing, Sikai Chen*.  Personalizing Driver Agent Using Large Language Models for Driving Safety and Smarter Human–Machine Interactions. IEEE Intelligent Transportation Systems Magazine (2025).Link: https://ieeexplore.ieee.org/abstract/document/10945772
• Zixuan Xu, Neha Sengar, Tiantian Chen* (Corresponding Author), Oviedo-Trespalaciosa, O., and Hyungchul Chung. "Where is morality on wheels? Decoding large language model (LLM)-driven decision in the ethical dilemmas of autonomous vehicles." Travel Behaviour and Society 40 (2025): 101039. Link: https://www.sciencedirect.com/science/article/pii/S2214367X25000572
• Qu, Yansong, Zixuan Xu, Zilin Huang, Zihao Sheng, Sikai Chen, and Tiantian Chen. "MetaSSC: Enhancing 3D semantic scene completion for autonomous driving through meta-learning and long-sequence modeling." Communications in Transportation Research 5 (2025): 100184. https://www.sciencedirect.com/science/article/pii/S2772424725000241
• Zixuan Xu, Tiantian Chen* (Corresponding Author), Sikai Chen. (2024). A LLM-based Multimodal Warning System for Driver Assistance.  2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) https://ieeexplore.ieee.org/abstract/document/10919879

Awards

• The Second-Prize of the 28 th HKSTS Outstanding Student Paper Award, 9-10 Dec, 2024, Hong Kong, with a cash prize of HK$ 3,000

Yukai Wang

E-mail

yukai@kaist.ac.kr

Personal website

https://yukiiwong.github.io/

Education

• MS, Transportation Engineering, Southeast University, China, 2023
• BS, Transportation (Mao Yisheng), Southwest Jiaotong University, China, 2020

Research Topics

• Traffic safety
• Traffic conflict
• Data analysis
• Autonomous Driving

Research Papers

• ·        Master
• Gu, Z., Wang, Y., Ma, W., & Liu, Z. (2024). A joint travel mode and departure time choice model in dynamic multimodal transportation networks based on deep reinforcement learning. Multimodal Transportation, 3(3), 100137.(https://www.sciencedirect.com/science/article/pii/S2772586324000182)
• Zhang Q., Wang Y., Yin R., Cheng W.*, & Wan J. (2022).Multi-Modal Traffic Micro-Simulation: A Data-Driven Framework for Road Network Automatic Modeling. Special Issue: Intelligence in Urban Transportation(https://www.aimspress.com/article/doi/10.3934/era.2023010)
• Yu, Y.*, Wang, Q., Wang, Y., & Kuai, J. (2021). Reinforcement Learning in Intelligent Transportation Systems: Recent Developments. In International Conference on Smart Transportation and City Engineering 2021 (Vol. 12050, pp. 404-412). SPIE.(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12050/120501J/Reinforcement-learning-in-intelligent-transportation-systems-recent-developments/10.1117/12.2613696.short)

Yiping Liu

E-mail

yiping.liu@kaist.ac.kr

Education

• MS, Transportation Engineering, Southeast University, China, 2023
• MS, Transportation Systems, Monash University (Suzhou), China, 2023
  
• BS, Civil Engineering, Chongqing University, China, 2020

Research Topics

• Advanced Modeling in Traffic Safety
• Travel Behavior
• Large Language Model in Mobility

LinkedIn: www.linkedin.com/in/yiping-liu-3a3030259
Google scholar:  https://scholar.google.com/citations?user=CLA6yy4AAAAJ&hl=zh-CN

Research Papers

•       PhD
• Liu, Y., Chen, T., Chung, H., Jang, K., & Xu, P. (2025). Is there an emotional dimension to road safety? A spatial analysis for traffic crashes considering streetscape perception and built environment. Analytic Methods in Accident Research, https://doi.org/10.1016/j.amar.2025.100374. 
•       Master
• Li, D., Liu, Y., Song, Y., Ye, Z., & Liu, D. (2022). A framework for assessing resilience in urban mobility: incorporating impact of ridesharing. International Journal of Environmental Research and Public Health, https://doi.org/10.3390/ijerph191710801.

Awards

• Best Paper Presentation Award, 90th Korean Society of Transportation conference, 2023, Seoul

Chengxi Hu

E-mail

chengxi.hu43@kaist.ac.kr

Education

·        MS, Transportation, Southwest Jiaotong University, China, 2025

·        BS, Transportation, Southwest Jiaotong University, China, 2022

Research Topics

• Low-carbon oriented traffic management and control
• Human-vehicle interaction behavior modeling
• Autonomous driving taxonomy and terminology

Research Papers

• Hu, C., He, X., Ding, H., Tang, H., & Sun, Z.(2025) A Personal Carbon-emission Trading Scheme to Manage Carbon Emission in Multi-modal Transportation Networks. The 104th TRBAM-2025.
• Li, T., Hu, C., Sze, N. N., Sun, Z., Ding, H., & Chen, T. (2025). Modelling pedestrian-vehicle interaction behaviours at non-signalised crosswalks using a game theory approach incorporating the risk perception. Transportmetrica A: Transport Science, 1-31.https://doi.org/10.1080/23249935.2025.2479084

Caiyin Dong

E-mail

cydongst@kaist.ac.kr

Education

· MS, Transportation, Southwest Jiaotong University, China, 2025

· BS, Transportation, Soochow University, China, 2022

Research Topics

• Traffic Safety
• Travel Behavior Analysis
• Trajectory Prediction

Research Papers

• Chung H, Dong C, Chen T, et al. (2024). Tradeoffs between privacy and screening efficiency for air passengers–Implications for tourism supply chain management[J]. Current Issues in Tourism, 1-24.
• Sun Z, Dong C, Ji A, et al. (2025). A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction[J]. IEEE Intelligent Transportation Systems Magazine, 2025.

Neha Sengar （RA - The Robotics Program）

E-mail

neha.sengar@kaist.ac.kr

Education

• M.Tech., Computer Science and Engineering, Center for Advanced Studies, India, 2021
• B.Tech., Computer Science and Engineering, Dr APJ Abdul Kalam Technical University, India, 2019

Research Topics

• Autonomous Vehicle Vision and Perception
• Intelligent Surveillance

Research Papers

• Zixuan Xu, Neha Sengar, Tiantian Chen* (Corresponding Author), Oviedo-Trespalaciosa, O., Hyungchul Chung, Xiaowen Fu. (2024). How Does the Large Language Model Decide to Save Pedestrians or Passengers? Evaluation of Ethical Dilemmas in ChatGPT-Based Decision-Making of Autonomous Vehicles. Working paper.