师资队伍

教师队伍

白茜文副教授

  • 姓名:白茜文

  • 办公电话: 62789009

  • 邮箱:xiwenbai@tsinghua.edu.cn

  • 传真号码:

  • 地点:清华大学舜德楼214B

  • 教师主页:

个人简介

白茜文,清华大学工业工程系副教授。2019年博士毕业于新加坡南洋理工大学。研究方向集中于航运与物流管理,港航经济,数字航运等。白茜文老师研究团队每年都有计划招收博士后、博士生,欢迎有良好数学基础,擅长编程,有志学术研究的同学发送简历到xiwenbai@tsinghua.edu.cn

所获奖励

中国航海学会第十届中国科协青年人才托举工程(科协资助)

2024中国交通运输协会青年科技工作者工作委员会优秀委员

2024 International Forum on Shipping, Port and Airport最佳学生论文奖, 2024

2023 International Conference on Logistics and Maritime Systems (LOGMS)最佳论文奖,2023

Annual Conference of the International Association of Maritime Economists (IAME) 最佳论文奖, 2020

教育背景

新加坡南洋理工大学土木与环境工程学院,工学博士

美国麻省理工学院,供应链管理,工学硕士

新加坡南洋理工大学土木与环境工程学院,理学学士

工作经历

2021年1月至今,清华大学工业工程系,研究生工作组组长

2022年12月至今,清华大学工业工程系,副教授

2019年10月-2022年12月,清华大学工业工程系,助理教授

讲授课程

本科生:

工程经济学

国际物流

研究生:

定量分析

研究兴趣

航运与物流管理

港航经济

数字航运

科研项目

主持国家自然科学基金项目2项(面上、青年各1项)、清华大学自主科研项目1项、多项企业资助课题,合作方包含政府和港航领域重点企业,如中远海运、宁波舟山港等。参与3项国家自然科学基金项目及多项企业委托项目。

论文发表

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.

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.

专业活动

《Maritime Policy & Management》副编

《Journal of Shipping and Trade》编委

中国交通运输协会青年科技工作者工作委员会水路交通工作组秘书

世界交通运输大会水运新技术学科秘书