2014-09 至 2019-02, 马萨诸塞大学阿默斯特分校, 交通工程, 博士

2014-09 至 2018-05, 马萨诸塞大学阿默斯特分校, 统计学, 硕士

 2011-09 至 2014-06, 南京大学, 管理科学与工程, 硕士

2007-09 至 2011-06, 西汉姆联官方网站, 管理学, 学士

2024.04 至 今, 西汉姆联官方网站, bw必威西汉姆联官方网站, 副教授

 2020.10 至 2024.3, 西汉姆联官方网站, bw必威西汉姆联官方网站, 讲师

研究方法：多阶段随机动态规划，混合整数规划，深度强化学习/机器学习等

研究问题：需求响应式交通运营管理，物流与供应链网络优化，低空物流等

 国家自然科学基金青年项目，考虑供需交互变化的网约车非短视动态调度优化研究，2023-2025，主持

江苏省自然科学基金青年项目，面向耦合需求的网约车订单匹配与巡游路径优化研究, 2021-2024，主持

一种适用于低密度人口的乡村快递配送站选址方法.（授权公告号CN 114169817 B）

 一种港口型物流枢纽产业集群发展状况评估方法.（授权公告号CN 114240099 B）

（#指导员工，*通讯作者）

1.      Yu, X., Hua, M., Chen, J., Peng, J., Hua, M. (2025). Uncovering Passenger-seeking Behavior of Vacant Taxis from Trajectory Data via Self-supervised Deep Spectral Clustering. IEEE Transactions on Intelligent Transportation Systems, 26(4).

2.      Hua, M., Yu, X., Chen, X., Chen, J., & Cheng, L. (2025). Can bike sharing achieve self-balancing distribution? Evidence from dockless and station-based cases. Travel Behaviour and Society, 38, 100879.

3.      Dong, C., Xiong, Z., Li, N., Yu, X., Liang, M., Zhang, C., & Wang, H. (2025). A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms. Transportation Research Part E: Logistics and Transportation Review, 194, 103884.

4.      Yu, X., Chen, J., Kumar, P., Khani, A., & Mao, H. (2024). An integrated optimization framework for locating depots in shared autonomous vehicle systems. Transportmetrica A: Transport Science, 20(2), 2152299.

5.      Yao, H.^#, Yu, X. *, Mao, H., Bai, D., & Zhang, S. (2024). The spatial spillover impact and transmission mechanisms of logistics agglomeration on eco-efficiency: A case study in China. Energy, 308, 132826.

6.      Yu, S., Peng, J., Ge, Y., Yu, X., Ding, F., Li, S., & Ma, C. (2024). A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture. Computer‐Aided Civil and Infrastructure Engineering, 39(18), 2774-2787.

7.      Yu, X., Zhu, Z., Mao, H., Hua, M., Li, D., Chen, J., & Xu, H. (2023). Coordinating matching, rebalancing and charging of electric ride-hailing fleet under hybrid requests. Transportation Research Part D: Transport and Environment, 123, 103903.

8.      Yu, X., Khani, A., Chen, J., Xu, H., & Mao, H. (2022). Real-time holding control for transfer synchronization via robust multiagent reinforcement learning. IEEE Transactions on Intelligent Transportation Systems, 23(12), 23993-24007.

9.      Yu, X., & Gao, S. (2022). A batch reinforcement learning approach to vacant taxi routing. Transportation Research Part C: Emerging Technologies, 139, 103640.

10.  Mai, T., Yu, X.^*, Gao, S., & Frejinger, E. (2021). Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm. Transportation Research Part B: Methodological, 151, 42-58.

11.  Yu, X., Gao, S., Hu, X., & Park, H. (2019). A Markov decision process approach to vacant taxi routing with e-hailing. Transportation Research Part B: Methodological, 121, 114-134.

12.  Yu, X., & Gao, S. (2019). Learning routing policies in a disrupted, congestible network with real-time information: An experimental approach. Transportation Research Part C: Emerging Technologies, 106, 205-219.

本科专业课《物流系统规划与设计》

本科专业基础课《人工智能基础》

研究生课程《物流系统优化与仿真》

欢迎对科研有深入兴趣，有交通运输、运筹优化、统计学、机器学习等方面基础（或者愿意深入学习）的同学报考研究生。