WORK EXPERIENCE

Working Positions

• 2014 – present, Analytics Manager, The Dow Chemical Company
• 2012 – 2014 Business analysis and Optimisation, Apollo Education Group
• 2011-2012 Research, MEDA Engineering Co.

International Experience

• 2004 – May 2010, PhD, University of Wisconsin, Wisconsin, US

RESEARCH FIELD

• developing methodologies in data-driven and analytics-driven optimization

RESEARCH

Publications (2015 – 2025）

• Canrong Zhang a，Tao Wu b，Kap Hwan Kim c，Lixin Miao. Conservative allocation models for outbound containers in container terminals, Science and technology progress and policy. (SCI),2014.
• He, Yan，Wu, Tao，Zhang, Canrong，Liang, Zhe. An improved MIP heuristic for the intermodal hub location problem, Omega. (SCI),2015.
• Canrong Zhang，Tao Wu，Ming Zhong，Li Zheng，Lixin Miao. Location assignment for outbound containers with adjusted weight proportion, Computers & Operations Research. (SCI),2014.
• Zhe Liang，Yan He，Tao Wu，Canrong Zhang , An informative column generation and decomposition method for a production planning and facility location problem, International Journal of Production Economics. (SCI),2015.
• Liang, Zhe，Feng, Yuan，Zhang, Xiaoning，Wu, Tao，Chaovalitwongse, Wanpracha Art. Robust weekly aircraft maintenance routing problem and the extension to the tail assignment problem, Transportation Research, Part B: Methodological. (SCI),2015.
• Kerem Akartunalı, Ioannis Fragkos, Andrew J. Miller, Tao Wu. Local cuts and two-period convex hull closures for big-bucket lot-sizing problems, INFORMS Journal on Computing. (SCI),2016.
• Canrong Zhang a b，Fanrui Xie a b，Kun Huang a b，Tao Wu c，Zhe Liang d .MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems, Transportation Research Part E: Logistics and Transportation Review. (SCI),2017.
• Tao Wu，Kerem Akartunal，Raf Jans，Zhe Liang. Progressive selection method for the coupled lot-sizing and cutting-stock problem, INFORMS Journal on Computing. (SCI),2017.
• Wu, Tao，Liang, Zhe，Zhang, Canrong. Analytics branching and selection for the capacitated multi-item lot sizing problem with non-identical machines, INFORMS Journal on Computing. (SCI),2018.
• Wu Tao，Xiao Fan，Zhang Canrong，He Yan，Liang Zhe. The green capacitated multi-item lot sizing problem with parallel machines, Computers & Operations Research. (SCI),2018.
• Xie, F., Wu, T., & Zhang, C. (2019). A branch-and-price algorithm for the integrated berth allocation and quay crane assignment problem. Transportation Science, 53(5), 1427-1454.
• Zhang, C., Guan, H., Yuan, Y., Chen, W., & Wu, T. (2020). Machine learning-driven algorithms for the container relocation problem. Transportation Research Part B: Methodological, 139, 102-131
• Wu, T. (2021). On Nested Partitions Method for Global Optimization. Operations Research, 69(5), 1533-1539.
• Wu, T. (2022). Predictive search for capacitated multi-item lot sizing problems. INFORMS Journal on Computing, 34(1), 385-406.
• Wu, T., Zhang, C., Chen, W., Liang, Z., & Zhang, X. (2022). Unsupervised learning-driven matheuristic for production-distribution problems. Transportation Science, 56(6), 1677-1702.
• Wang, C., Miao, L., Zhang, C., Wu, T., & Liang, Z. (2024). Robust optimization for the integrated berth allocation and quay crane assignment problem. Naval Research Logistics (NRL), 71(3), 452-476.
• Wu, T. (2024). Exact Method for Production Hub Location. INFORMS Journal on Computing, 36(5), 1287-1315.
• Wu, T., Chen, W., Cordeau, J. F., & Jans, R. (2025). Machine learning-empowered Benders decomposition for flow hub location in e-commerce. INFORMS Journal on Computing.

TEACHING INTERESTS

PROFESSIONAL SERVICES

• Associated Editor, The International Journal of Systems Science

HONORS

• “Best Track Paper Award”, The International Conference on Industrial Engineering and Operations Management..