Andy Chow's research focuses on building sustainable and reliable transport and logistics systems with emerging analytics, sensing, and computing technologies. He received his undergraduate education in Hong Kong. His doctoral research on optimal control of dynamic transport networks completed in England received a Gordon Newell Memorial Dissertation Prize in 2008. He is a Board Member of the Hong Kong Society for Transportation Studies (HKSTS), President of the Operational Research Society of Hong Kong (ORSHK), Chartered Member of the Chartered Institute of Logistics and Transport (CILTHK), Member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Electrical and Electronics Engineers (IEEE). He is also serving on the committees of Urban Rail Transit Systems (AP065) and Railroad Operating Technologies (AR030) in the Transportation Research Board (TRB). Before joining CityU, he has held academic and research positions at University College London in the U.K., and University of California Berkeley under the California PATH program in the U.S.
Previous Experience
- 2010 - 2017, Senior lecturer / Lecturer , University College London, UK.
- 2007 - 2010, Postdoc fellow, University of California Berkeley, USA.
Research Grants
- Dynamic strategies for robust rail transit operations against disruptions by malicious attacks, General Research Fund, Hong Kong Research Grants Council, Amount: HKD $718,199, Jan 2025 - Dec 2027, Andy Chow (PI).
- Dynamic strategies for decentralised urban rail transit network operations under demand uncertainty, General Research Fund, Hong Kong Research Grants Council , Amount: HKD $648,000, Jan 2023 - Dec 2025, Andy Chow (PI).
- Intelligent traffic control with use of IoT and reinforcement learning technologies, Smart Traffic Fund, Hong Kong Transport Department, Amount: HKD $1,869,458, Apr 2022 - Sep 2023, Andy Chow (PI), QP Zhang (Co-I), Clint Ho (Co-I), Edward Chung (Co-I).
- Real time optimisation of train system energy consumption via integrated service scheduling and train speed control, Innovation and Technology Fund , Hong Kong Innovation and Technology Commission, Amount: HKD $1,688,200, Apr 2021 - Mar 2023, Andy Chow (PI), Zijun Zhang (Co-I).
- Reliability-based intelligent transportation systems in urban road network with uncertainty, Research Impact Fund , Hong Kong Research Grants Council , Amount: HKD $9,646,000, Jul 2019 - Dec 2022, William Lam (PI), Andy Chow (Co-PI), SC Wong (Co-PI), Wei Ma (Co-PI), Edward Chung (Co-PI).
Journal
- Wu, X. , Chow, A. , Ma, W. , Lam, W. & Wong, S. (2025). Prediction of traffic state variability with an integrated modal-based and data-driven Bayesian framework. Transportation Research Part C. 171. 104953 doi:10.1016/j.trc.2024.104953
- Ying, C. , Chow, A. , Yan, Y. , Kuo, Y. & 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. 188. 103067 doi:10.1016/j.trb.2024.103067
- Chow, A.H.F. , Li, G. & Ying, C. (2024). Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty. Transportation Research Part C. 158. 104452 doi:10.1016/j.trc.2023.104452
- Nguyen, H. & Chow, A. H.F. (2023). Adaptive rail transit network operations with a rollout surrogate-approximate dynamic programming approach. Transportation Research Part C. 148. 104021 doi:10.1016/j.trc.2023.104021
- Su, Z.C. , Chow, A.H.F. , Fang, C. , Liang, E. & Zhong, R. (2023). Hierarchical control for stochastic network traffic with reinforcement learning. Transportation Research Part B. 167. 196 - 216. doi:10.1016/j.trb.2022.12.001
- Ying, C. , Chow, A.H.F. , Nguyen, H. & Chin, K.S. (2022). Multi-agent deep reinforcement learning for adaptive coordinated metro service operations with flexible train composition. Transportation Research Part B. 161. 36 - 59. doi:10.1016/j.trb.2022.05.001
- Yan, Y. , Chow, A.H.F. , Ho, C. , 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. 162. 102712 doi:10.1016/j.tre.2022.102712
- Chow, A.H.F. , Su, Z. , Liang, E.M. & Zhong, R.X. (2021). Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning. Transportation Research Part C. 129. 103264 doi:10.1016/j.trc.2021.103264
- Nguyen, H.T.M. , Chow, A.H.F. & Ying, C. (2021). Pareto routing and scheduling dynamic urban rail transit services with multi-objective cross entropy method. Transportation Research Part E. 156. 102544 doi:10.1016/j.tre.2021.102544
- Ying, C.S. , Chow, A.H.F. & Chin, K.S. (2020). An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic passenger demand. Transportation Research Part B. 140. 210 - 235. doi:10.1016/j.trb.2020.08.005
- Chow, A.H.F. , Sha, R. & Li, S. (2020). Centralised and decentralised signal timing optimisation approaches for network traffic control. Transportation Research Part C. 113. 108 - 123. doi:10.1016/j.trc.2019.05.007
External Services
Professional Activity
- Jan 2025 - Now, President, Operational Research Society of Hong Kong .Hong Kong.
- Jan 2023 - Now, Expert Review Panel, Logistics and Supply Chain MultiTech R&D Centre.Hong Kong.
- Apr 2020 - Now, Board Member , Hong Kong Society for Transportation Studies.Hong Kong.
- Jan 2018 - Now, External Examiner , MTR Academy.Hong Kong.
PhD Opportunities
- I am recruiting new funded PhD student(s) in Systems Engineering at CityU HK. Potential topics include, but not limited to, public transport, integrated road transport systems, and urban logistics with applications of data analytics and machine learning. In addition to an engineering background, potential students are expected to have a solid background in mathematics, computing, and statistics. Please email me (with your CV) for further details and discussion if you are interested.
Exceptionally qualified students are encouraged to apply through the Hong Kong PhD Fellowship Scheme (HKPFS).
Last update date :
08 Jun 2025
