Yimo Yan

About Me

Hi, my name is Yimo Yan. I am an upcoming Assistant Professor at the American University of Sharjah, United Arab Emirates. My research focuses on data analytics, optimization, and sequential decision-making methods for transportation, logistics, and supply chain systems. I am particularly interested in integrating learning and operations research approaches to improve efficiency and service quality in urban mobility, supply chain and healthcare operations.

My work has been published in leading journals including Information Fusion, Transportation Research Part series, International Journal of Production Research, and Health Care Management Science. I received my Ph.D. from The University of Hong Kong, where I was advised by Prof. Yong-Hong Kuo. I welcome collaboration opportunities in data-driven operations management, transportation systems analysis, and quantitative decision modelling.

Experience

Education

Publications

Yan, Y., Cui, S., Liu, J., Zhao, Y., Zhou, B., & Kuo, Y. H. (2024). Multimodal Fusion for Large-Scale Traffic Prediction with Heterogeneous Retentive Networks. Information Fusion, 114, 102695.

Yan, Y., Wen, H., Deng, Y., Chow, A. H., Wu, Q., & Kuo, Y. H. (2024). A mixed-integer programming-based Q-learning approach for electric bus scheduling with multiple termini and service routes. Transportation Research Part C: Emerging Technologies, 162, 104570.

Yan, Y., Deng, Y., Cui, S., Kuo, Y. H., Chow, A. H., & Ying, C. (2023). A policy gradient approach to solving dynamic assignment problem for on-site service delivery. Transportation Research Part E: Logistics and Transportation Review, 178, 103260.

Yan, Y., Chow, A. H., Ho, C. P., Kuo, Y. H., Wu, Q., & Ying, C. (2022). Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities. Transportation Research Part E: Logistics and Transportation Review, 162, 102712.

Wu, Q., Han, J., Yan, Y., Kuo, Y. H., & Shen, Z. J. M. (2025). Reinforcement learning for healthcare operations management: methodological framework, recent developments, and future research directions. Health Care Management Science, 28(2), 298.

Kang, Y., Wang, R., Qin, Z., Yang, P., & Yan, Y. (2025). Warehouses with heterogeneous robots collaboration: operational policies and performance analysis. International Journal of Production Research, 1-29.

Deng, Y., Chow, A. H., Yan, Y., Su, Z., Zhou, Z., & Kuo, Y. H. (2024). Hierarchical production control and distribution planning under retail uncertainty with reinforcement learning. International Journal of Production Research, 1-19.

Ying, C., Chow, A. H., Yan, Y., Kuo, Y. H., & Wang, S. (2024). Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach. Transportation Research Part B: Methodological, 188, 103067.

Deng, Y., Yan, Y., Chow, A. H., Zhou, Z., & Kuo, Y. H. (2024). A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation. Expert Systems with Applications, 125045.

Kuo, Y. H., Leung, J. M., & Yan, Y. (2023). Public transport for smart cities: Recent innovations and future challenges. European Journal of Operational Research, 306(3), 1001-1026.

Submitted Research

Cui, S., Shen, S., Yan, Y., et al. (2026). TransMoE: Multimodal Traffic Prediction with Large Language Model and Mixture of Experts. Transportation Research Part C: Emerging Technologies. (Minor Revision)

Yan, Y., et al. (2026). Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities. Information Fusion. (Minor Revision)

Yan, Y., et al. (2026). Event-driven policy optimization for dynamic ambulance dispatch: An attention-based reinforcement learning approach. Transportation Research Part E. (Minor Revision)

Ongoing Research

Structure-Informed Data-Driven Lateral Transshipment Policy for Multi-Retailer System.

Evolution of Context: using low-cost LLM-enabled heuristics for efficient agent context management

Professional Service

Supervision of Master’s Dissertation

Multiple master dissertations in reinforcement learning, warehouse systems, supply chain LLM systems, and ambulance dispatch optimization.

Journal Reviewer

Transportation Research Part E; European Journal of Operational Research; International Journal of Production Research; PLOS One.

Student Helper & Society Participation

Hong Kong Society for Transportation Studies; HKU Institute of Transport Studies.

Grants

Teaching

Recruitment