Personal profile
Research interests
- Multi-modal Transportation Network Modelling
- Data-driven Modelling and Optimisation
- Machine Learning and Data Mining in Infrastructure Systems
- Transportation Operation and Management
- Dynamic Large-scale Network Simulation
- Urban Computing
- Smart Cities
Education/Academic qualification
Master of Science in Civil and Environmental Engineering, Carnegie Mellon University
Master of Science in Machine Learning, Carnegie Mellon University
Doctor of Philosophy in Civil and Environmental Engineering, Carnegie Mellon University
Bachelor of Engineering in Civil Engineering, Tsinghua University
Bachelor of Science in Pure and Applied Mathematics, Tsinghua University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Research output
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Influences of illuminated speed limit markings on driving behaviors—A driving simulation study
Li, Z., Wang, Y., Zhao, W., Sze, N. N. & Ma, W., Aug 2026, In: Accident Analysis and Prevention. 233, 108564.Research output: Journal article publication › Journal article › Academic research › peer-review
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Evaluating a deep learning-based surrogate model for predicting wind distribution in urban microclimate design
Wang, H., Ma, W., Niu, J. & You, R., 1 Feb 2025, In: Building and Environment. 269, 112426.Research output: Journal article publication › Journal article › Academic research › peer-review
21 Link opens in a new tab Citations (Scopus) -
Improved source definition methods based on numerical simulation for predicting vehicle exhaust transport in street canyons
Zhou, Y., Wang, J., Hou, Y., Ma, W., Chen, C. & You, R., 1 Mar 2025, In: Building and Environment. 271, 112571.Research output: Journal article publication › Journal article › Academic research › peer-review
3 Link opens in a new tab Citations (Scopus) -
A joint travel mode and departure time choice model in dynamic multimodal transportation networks based on deep reinforcement learning
Gu, Z., Wang, Y., Ma, W. & Liu, Z., Sept 2024, In: Multimodal Transportation. 3, 3, 100137.Research output: Journal article publication › Journal article › Academic research › peer-review
Open Access20 Link opens in a new tab Citations (Scopus) -
A time-series based deep survival analysis model for failure prediction in urban infrastructure systems
Yang, B., Liang, X., Xu, S., Wong, M. S. & Ma, W., Oct 2024, In: Engineering Applications of Artificial Intelligence. 136, 108876.Research output: Journal article publication › Journal article › Academic research › peer-review
9 Link opens in a new tab Citations (Scopus)
Prizes
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Kikuchi-Karlaftis 2022 Best Paper Award
Hu, Z. (Recipient), Lam, H. K. W. (Recipient), Wong, S. C. (Recipient), Chow, A. H. F. (Recipient) & Ma, W. (Recipient), 12 Jan 2023
Prize: Prize (research)
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The 2021 Eastern Asia Society for Transportation Studies (EASTS) Best Paper Award for Methodological Development
Li, A. (Recipient), Lam, H. K. W. (Recipient), Tam, M. L. (Recipient), Zhong, R. (Recipient) & Ma, W. (Recipient), Sept 2021
Prize: Prize (research)