Dr. Xiwen Bai is an Associate Professor in the Department of Industrial Engineering at Tsinghua University, holding a doctoral degree from Nanyang Technological University. Her research focuses on port and shipping operations, sustainable maritime transportation, and big data analytics in shipping. Her work has been published in leading transportation journals such as Transportation Science and Transportation Research Part A/C/E. Dr. Bai serves as an Associate Editor for Maritime Policy & Management and editorial board member of Journal of Shipping and Trade. Her research has been featured in prominent media outlets, including the Wall Street Journal.

She is seeking highly motivated Ph.D. students with strong mathematical and programming skills. Postdoctoral researchers with expertise in transportation, industrial engineering, big data applications, or related fields are also welcome to join her team. Interested candidates can send their CVs to xiwenbai@tsinghua.edu.cn.

Best student paper award, 2024 International Forum on Shipping, Port and Airport, 2024

Best paper award, 2023 International Conference on Logistics and Maritime Systems (LOGMS), 2023

Best paper award, Annual Conference of the International Association of Maritime Economists (IAME), 2020

Ph.D., School of Civil and Environmental Engineering, Nanyang Technological University

Master of Engineering in Supply Chain Management, Massachusetts Institute of Technology

B.S., School of Civil and Environmental Engineering, Nanyang Technological University

Port and Shipping Operations, Sustainable Maritime Transportation, Big Data Analytics in Shipping

Led two projects funded by the National Natural Science Foundation of China, and several company sponsored projects. Collaborating partners include key government entities and major corporations in the maritime industry, such as COSCO Shipping and Ningbo-Zhoushan Port. Participated in three National Natural Science Foundation projects and several enterprise-commissioned projects.

Lin, X., Pu, X., & Bai., X.* (2024). On the efficiency impacts of berthing priority provision. Transportation Science, 58(3), 557-683.

Cheng, L., Xu, L., & Bai, X.* (2024). Cargo selection, route planning, and speed optimization in tramp shipping under carbon intensity indicator (CII) regulations. Transportation Research Part E: Logistics and Transportation Review, accepted.

Li, W., Bai, X.*, Yang, D., & Hou Y. (2023). Maritime connectivity, transport infrastructure expansion and economic growth: a global perspective. Transportation Research Part A: Policy and Practice, 170, 103609.

Bai, X., Ma, Z., Hou Y., & Yang, D.* (2023). A data-driven iterative multi-attribute clustering algorithm and its application in port congestion estimation. IEEE Transactions on Intelligent Transportation Systems, accepted.

Yang, D., Liao, S., Lun, Y. H. V. & Bai, X.* (2023). Towards sustainable port management: data-driven global container ports turnover rate assessment. Transportation Research Part E: Logistics and Transportation Review, 175, 103169.

Bai, X., Ma, Z., & Zhou, Y. (2023). Data-driven static and dynamic resilience assessment of the global liner shipping network. Transportation Research Part E: Logistics and Transportation Review, 170, 103016.

Bai, X., & Lam, J. S. L.* (2023). Shipowners’ fleet portfolio Value-at-Risk estimation for spot chartering decisions under changing trade patterns: a copula approach. Risk Analysis, 43(6), 1278-1292.8. Yin, Z., Yang, D., & Bai, X.* (2022). Vessel destination prediction: a stacking approach. Transportation Research Part C: Emerging Technologies, 145, 103951.

Li, Y., Bai, X.*, Wang, Q., & Ma, Z. (2022). A big data approach to cargo type prediction and its implications for oil trade estimation. Transportation Research Part E: Logistics and Transportation Review, 165, 102831.

Bai, X., Xu, M., & Yang, D.* (2022). Quantifying the impact of pandemic lockdown policies on global port calls. Transportation Research Part A: Policy and Practice, 164, 224-241.

Bai, X., Cheng, L., & Iris, C.* (2022). Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry. Transportation Research Part E: Logistics and Transportation Review, 158, 102617.

Bai, X., Lam, J. S. L.*, & Jakher, A. (2021). Shipping sentiment and the dry bulk shipping freight market: New evidence from newspaper coverage. Transportation Research Part E: Logistics and Transportation Review, 155, 102490.

Bai, X., Hou, Y., & Yang, D.* (2021). Choose clean energy or green technology? Empirical evidence from global ships. Transportation Research Part E: Logistics and Transportation Review, 151, 102364.

Associated Editor, Maritime Policy & Management

Editorial Board Member, Journal of Shipping and Trade

Guest Editor, Transportation Research Part D/Transport Policy