孙丁山，特聘研究员、博士生导师，上海市海外高层次人才（青年）。2023年10月毕业于荷兰代尔夫特理工大学（Delft University of Technology），获控制科学与工程博士学位。毕业后留校于土木工程与地球科学学院交通规划系从事博士后研究，并于2026年3月加入同济大学交通学院。主要研究方向为城市道路交通智能管控，围绕智能交通系统建模、优化与控制展开研究，重点关注强化学习、模型预测控制等先进方法在交通运行管理与决策中的应用。
以第一/通讯作者在Transportation Research Part C, IEEE Transactions on Intelligent Transportation Systems, Engineering Applications of Artificial Intelligence等国际期刊和重要学术会议发表论文11篇。担任IEEE T-ITS、EAAI、Control Engineering Practice、IEEE Transactions on Cybernetics、IEEE ITSC、IFAC WC、TRB等十余个国际著名期刊以及会议审稿人，并担任SCI期刊Mathematics (JCR Q1)特刊“Model Predictive Control: Mathematical Foundations and Emerging Engineering Challenges”客座主编(Leading Guest Editor)。
教育经历
2019.03-2023.10荷兰代尔夫特理工大学，系统与控制系，博士
2015.09-2018.06上海交通大学，航空宇航科学与技术专业，硕士
2011.09-2015.06东北大学，机械工程及自动化专业，本科
工作经历
2023.09-2025.09荷兰代尔夫特理工大学，交通规划系，博士后
2025.11-2026.01香港理工大学，航空与民航工程系，博士后
2026.03-至今，同济大学，交通学院，特聘研究员、博士生导师
获奖情况
2024年获上海市海外高层次人才（青年）
学术论文
1.Tan, C.,Sun, D., Liu, H., Rinaldi, M., & van Lint, H. (2026). CV-MP: Max-pressure control in partially connected vehicle environments.Transportation Research Part B: Methodological,204, 103387.
2.Dabiri, A., He, K., Shi, S.,Sun, D., Lago, J., & De Schutter, B. (2025). Integrating Learning-Based and MPC-Based Control for PWA Systems: Challenges and Opportunities.Nonlinear and Constrained Control: Applications, Synergies, Challenges and Opportunities, 131-149.
3.Sun, D.*, Jamshidnejad, A., & De Schutter, B. (2024). Adaptive parameterized MPC based on reinforcement learning: A synthesis framework.Engineering Applications of Artificial Intelligence,136, 109009.
4.Sun, D.*, Jamshidnejad, A., & De Schutter, B. (2024). A framework combining MPC and deep reinforcement learning with application to freeway traffic control.IEEE Transactions on Intelligent Transportation Systems,25(7), 6756–6769.
5.Fu, J.,Sun, D., Peyghami, S., & Blaabjerg, F. (2024). A novel reinforcement-learning-based compensation strategy for DMPC-based day-ahead energy management of shipboard power systems.IEEE Transactions on Smart Grid,15(5), 4349–4363.
6.Zhang, H., Liu, X.,Sun, D., Dabiri, A., & De Schutter, B. (2024). Integrated reinforcement learning and optimization for railway timetable rescheduling.IFAC-PapersOnLine,58(10), 310–315.
7.Jamshidnejad, A.*,Sun, D.*, Ferrara, A., & De Schutter, B. (2023). A novel bi-level temporally distributed MPC approach: An application to green urban mobility.Transportation Research Part C: Emerging Technologies,156, 104334.
8.Jeschke, J.,Sun, D.*, Jamshidnejad, A., & De Schutter, B. (2023). Grammatical-evolution-based parameterized MPC for urban traffic networks.Control Engineering Practice,132, 105431.
9.Sun, D.*, Jamshidnejad, A., & De Schutter, B. (2023). Optimal sub-references for setpoint tracking: A multi-level MPC approach.IFAC-PapersOnLine,56(2), 9411–9416.
10.Sun, D.*, Jamshidnejad, A., & De Schutter, B. (2023). Adaptive parameterized control for coordinated traffic management using reinforcement learning.IFAC-PapersOnLine,56(2), 5463–5468.
11.Remmerswaal, W.,Sun, D*., Jamshidnejad, A., & De Schutter, B. (2022). Combined MPC and reinforcement learning for traffic signal control in urban traffic networks. In202226th International Conference on System Theory, Control and Computing (ICSTCC)(pp. 432-439). IEEE.
12.孙丁山,陈丽,温余彬, &段登平. (2018).基于嵌套饱和的输入约束浮空器非线性控制.工程科学学报, 40(12), 1557-1568.
13.Sun, D., Chen, L., Zhang, G., Wen, Y., Liang, K., & Wang, X. (2018). The anti-windup controller design for multi-propeller aerostat based on nested saturation function. In2018 37th Chinese Control Conference (CCC)(pp. 5029-5034). IEEE.
14.Wen, Y., Chen, L., Wang, Y.,Sun, D., Duan, D., & Liu, J. (2018). Nonlinear DOB-based explicit NMPC for station-keeping of a multi-vectored propeller airship with thrust saturation.The Aeronautical Journal, 122(1257), 1753-1774.
15.Chen, L., Duan, D. P., &Sun, D.(2016). Design of a multi-vectored thrust aerostat with a reconfigurable control system.Aerospace Science and Technology, 53, 95-102.
学术会议汇报
1.Sun, D., Rinaldi, M., & Knoop, V. L. Traffic assignment of multi-modal transport networks based on an augmented link-based super-network model. In104thTransportation Research Board Annual Meeting (TRB), Washington DC. January, 2025.
2.Sun, D., Rinaldi, M., Calvert, S. C., & Knoop, V. L. Augmented ε-constraint-based optimization for multi-objective multi-modal transport networks management. InConference in Emerging Technologies in Transportation Systems (TRC30), Crete, Greece, 2024.