Dr. Yun (Charles) Ye is a Research Fellow at University College London. Dr. Ye received his B.E. degree from Zhejiang University in 2017 and his Ph.D. degree from The University of Hong Kong in 2021. From 2021 to 2023, he served as a Senior Research Engineer at the Central Research Institute and Central Media Technology Institute, 2012 Lab, Huawei Technologies Co., Ltd. He is a recipient of the Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence under the European Commission’s Horizon Europe programme. His honors also include the Lee Shau Kee Postgraduate Fellowship and the Civil Centennial Future Scholars Award from The University of Hong Kong; the Young Talent Support Program of Zhejiang Province; the Yongjiang Young Innovative Talent Award and Top Talent Recognition from Ningbo City; and the Yue-Kong Pao Young Top Scholar Award from Ningbo University. His research focuses on human factors and risk decision-making, traffic safety analytics, maritime transport systems, intelligent transportation behavior modeling, and AI-driven safety systems. He has published extensively in leading journals, including Analytic Methods in Accident Research, IEEE Transactions on Intelligent Transportation Systems, Reliability Engineering & System Safety, Transportation Research Part F: Traffic Psychology and Behaviour, Safety Science, Accident Analysis & Prevention, Travel Behaviour and Society. He has also presented his work at major international conferences such as TRB Annual Meeting and IEEE ITSC. Dr. Ye has led or participated in more than ten research and industry-funded projects and serves as a Editorial Board Member of EAI Endorsed Transactions on Human-Computer Interaction, as well as a reviewer for over 30 international journals and conferences.

For more details of my group, please visit: Traffic Safety and Intelligence Laboratory, TSI Lab

Research Interests

• Intelligent Transportation Systems (ITS)
• Risk and Resilience
• Human-Computer Interaction (HCI)
• Psychology and Behavior
• AI and Statistics

Education

• 2017-2021: Ph.D in Traffic and Transportation Engineering, The University of Hong Kong
• 2013-2017: B.Eng. in Civil Engineering, Zhejiang University

Professional Experience

• Aug 2026 - Present: Research Fellow, Bartlett Faculty of Built Environment, University College London, London, United Kingdom
• Mar 2023 - Aug 2026: Associate Professor, Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
• Dec 2025 - Jun 2026: Visiting Lecturer/Researcher, SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom
• Apr 2025 - Apr 2026: Academic Visitor, Transport Section, Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
• Sep 2022 - Feb 2023: Senior Research Engineer, Central Media Technology Institute, 2012 Lab, Huawei Technologies, Shenzhen, China
• Nov 2021 - Sep 2022: Senior Research Engineer, Central Research Institute, 2012 Lab, Huawei Technologies, Shenzhen, China
• July 2016 - Aug 2016: Research Assistant, The University of Hong Kong, Hong Kong, China

Selected Publications

Journal Papers

Human Factors, VR and Human–Automation Interaction

• Ye, Y., Wong, S.C.*, Li, Y.C., & Lau, Y.K. (2020). Risks to pedestrians in traffic systems with unfamiliar driving rules: A virtual reality approach. Accident Analysis & Prevention, 142, 105565. (SSCI, JCR Q1, IF 7.4)
• Ye, Y., Wong, S.C.*, Meng, F., & Xu, P. (2021). Right-looking habit and maladaptation of pedestrians in areas with unfamiliar driving rules. Accident Analysis & Prevention, 150, 105921. (SSCI, JCR Q1, IF 7.4)
• Ye, Y., Wong, S.C., Li, Y.C.*, & Choi, K.M. (2023). Crossing behaviors of drunk pedestrians unfamiliar with local traffic rules. Safety Science, 157, 105924. (SCI, JCR Q1, IF 6.2)
• Ye, Y., Zheng, P., Liang, H., Chen, X., Wong, S.C., & Xu, P.* (2024). Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning. Travel Behaviour and Society, 35, 100760. (SSCI, JCR Q1, IF 5.8)
• Ye, Y., Zhou, Z., Ying, C., Xie, J., Chen, X., & Gao, Z.* (2026). Risk-aware pedestrian-vehicle interaction: A multi-objective Bayesian optimized social force model. Transportmetrica A: Transport Science, 1-49. (SCI/SSCI, JCR Q2, IF 3.9)
• Che, Y., Wong, M.O., Gao, X., Liang, H., & Ye, Y.* (2026). Enhancing safety in automated ports: A virtual reality study of pedestrian–autonomous vehicle interactions under time pressure, visual constraints, and varying vehicle size. Transportation Research Interdisciplinary Perspectives, 37, 102041. (EI, ESCI, JCR Q2, IF 4.8)
• Ye, Y., Che, Y., Liang, H., Zhang, Y., & Xu, P. * (2026). Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons. Transportation Research Part F: Traffic Psychology and Behaviour, 120, 103660. (SSCI, JCR Q1, IF 5.0)

Maritime Safety, Risk Modelling and Resilience

• Ye, Y., Zheng, P., Wang, Q., Wong, S.C., & Xu, P.* (2025). Modeling economic loss associated with fishing vessel accidents: A Bayesian random-parameter generalized beta of the second kind model with heterogeneity in means. Analytic Methods in Accident Research, 46, 100384. (SSCI, JCR Q1, IF 10.7)
• Ye, Y., Zheng, P., Xu, P., Ren, Q., Yan, R., & Gao, X.* (2026). Varying effects of risk factors on economic losses from fishing vessel accidents: A Bayesian random-parameter quantile regression with heterogeneity in means. Reliability Engineering & System Safety, 266, 111690. (SCI, JCR Q1, IF 13.7)
• Ye, Y., Liu, M., Meng, F., Wong, S.C., Gao, X.*, & Yang, Z. (2026). Temporal instability analysis of fatal commercial fishing vessel incidents: A correlated random-parameter model with heterogeneity in means. Reliability Engineering & System Safety, 274, 112423. (SCI, JCR Q1, IF 13.7)
• Ye, Y.*, Liu, M., Liu, J., Zhu, K., Cheng, T., & Yang, Z. (2026). Bayesian spatio-temporal modeling of Arctic maritime incidents with integrated nested Laplace approximation. Reliability Engineering & System Safety, 275, 112864. (SCI, JCR Q1, IF 13.7)

AI-enabled Transport and Engineering Systems

• Ye, Y., Liang, H., Sun, J., & Chen, X.* (2025). Distance-informed Neural Eikonal Solver for reactive dynamic user-equilibrium of macroscopic continuum traffic flow model. IEEE Transactions on Intelligent Transportation Systems, 26(6), 8162-8177. (SCI, JCR Q1, IF 9.1)
• Zhou, Q., Chai, B., Guo, Y., Wu, H., Wang, K., & Ye, Y.* (2025). Feature Enhancement based Aero-Engine Lubricant Consumption Prediction: A BiTCN-BiGRU-Attention Approach. Alexandria Engineering Journal, 129, 137-167. (SCI, JCR Q1, IF 6.4)
• Zhou, Q., Chai, B., Tang, C., Guo, Y., Wang, K., Wu, W., Cao, B., & Ye, Y.* (2025). Enhancing multimodal fault diagnosis in mechanical systems via mixture of experts. Complex & Intelligent Systems, 11, 425. (SCI, JCR Q2, IF 4.5)
• Zhou, Q., Chai, B., Guo, Y., Li, T., Zhou, S., Wang, K., & Ye, Y.* (2025). Multimodal mechanical wear fault diagnosis: Fusion of signal characterization and image information. Results in Engineering, 28, 107204. (ESCI, JCR Q1, IF 9.4)
• Zhou, Q., Chai, B., Li, Y., Tang, C., Guo, Y., & Ye, Y.* (2026). A mixture-of-experts prior–posterior fusion framework for predicting the remaining useful life of aerospace high-speed bearings. Neurocomputing, 670, 132601. (SCI, JCR Q1, IF 6.7)
• Zhou, Q., Chai, B., Tang, C., Guo, Y., & Ye, Y.* (2026). Latent Diffusion Neural Fields for zero-shot and uncertainty-aware bearing remaining useful life prediction. Reliability Engineering & System Safety, 277, 113042. (SCI, JCR Q1, IF 13.7)

Conference Papers

• Li, H., You, L.*, Xie, J., Ye, Y., & Tan, X. (2025). SmartPL: An Integrated Approach for Platoons Driving on Mixed-Traffic Freeways. In International Conference on Neural Information Processing (pp. 357-372). Springer, Singapore.
• Ye, Y.*, Che, Y., & Liang, H. (2024). Exploring the Influence of Pedestrian Attitude, Propensity, and Risk Perception on Gap Acceptance Between Platooning Autonomous Trucks. In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3645-3650). IEEE.

Keynote and Invited Talks

• Ye, Y.*, Che, Y., & Liang, H. (2024, September 24-27). Exploring the influence of pedestrian attitude, propensity, and risk perception on gap acceptance between platooning autonomous trucks. Invited presentation at the Workshop on The 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024): Advanced Modeling, Evaluation, and Simulation of Interactions in Mixed Traffic Comprising Pedestrians, Automated Vehicles, and Human-driven Vehicles, Edmonton, Canada.

Conference Presentations

• Li, Z., Liang, H., & Ye, Y.* (2026, December 14-15). Credibility-aware learning for automated driving crash severity prediction: An audit-guided approach [Poster Presentation]. The 30th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2026), Hong Kong, China.
• Cao, S., Liang, H., & Ye, Y.* (2026, December 14-15). Understanding public acceptance of robotaxis in China: The roles of trust transfer and dual-process information processing [Poster Presentation]. The 30th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2026), Hong Kong, China.
• Miao, T., Liang, H., & Ye, Y.* (2025, December 8-9). B-TSE-PINN: Bayesian-enhanced physics-informed neural networks for uncertainty quantification in traffic states estimation [Oral Presentation]. The 29th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2025), Hong Kong, China.
• Zhou, Z., Liang, H., & Ye, Y.* (2025, July 22-25). An improved social force model for pedestrian-vehicle interaction simulation [Poster Presentation]. The 25th COTA International Conference of Transportation Professionals (CICTP2025), Guangzhou, China.
• Li, Z., Che, Y., Zhou, Z., Liang, H., & Ye, Y.* (2025, July 22-25). Is eHMI always helpful? Investigating interference of eHMI on pedestrians interacting with autonomous vehicles on multi-lane streets: A virtual reality-based experiment [Poster Presentation]. The 25th COTA International Conference of Transportation Professionals (CICTP2025), Guangzhou, China.
• Ye, Y.*, Liang, H., Sun, J., & Chen, X. (2024, December 9-10). Distance-informed Neural Eikonal Solver for reactive dynamic user-equilibrium of macroscopic continuum traffic flow model [Poster Presentation]. The 28th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2024), Hong Kong, China.
• Ye, Y.*, Che, Y., & Liang, H. (2024, September 24-27). Exploring the influence of pedestrian attitude, propensity, and risk perception on gap acceptance between platooning autonomous trucks [Poster Presentation]. The 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024), Edmonton, Canada. (EI)
• Ye, Y.* (2019, December 14-16). Risks to pedestrians in traffic systems with unfamiliar driving rules [Oral Presentation]. The 24th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2019), Hong Kong, China.
• Ye, Y., & Chen, X.* (2018, January 7-11). Simulation-based optimization for time-of-day coordinated ramp metering of a large-scale urban expressway network [Poster Presentation]. The 97th Annual Meeting of Transportation Research Board (TRBAM 2018), Washington DC, United States.

Mailing Address

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