在读研期间，所有与你读研相关的事情，可能都需要经过你的导师同意，所以说，选择导师真的很重要，也希望大家能够认真对待这件事，怎样才能选择适合自己的导师呢?这就要我们提前做足功课，尽可能多的搜集有关你准备报考的导师的信息，下面新东方在线考研频道为大家分享：“北京交通大学硕士研究生导师信息：宿帅”文章。
北京交通大学硕士研究生导师信息：宿帅
宿帅
博士、教授、智慧高铁系统前沿科学中心副主任
基本信息
办公电话：51688378电子邮件： shuaisu@bjtu.edu.cn
通讯地址：北京市海淀区上园村3号北京交通大学西门科技大厦邮编：100044
教育背景
2006-2010 北京交通大学 本科
2006-2010 Beijing Jiaotong University B.S.
2010-2016 北京交通大学 博士
2010-2016 Beijing Jiaotong University Ph.D
工作经历
Working Experience
2021-今 北京交通大学轨道交通控制与安全国家重点实验室 教授
2021-Present State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University Professor
2016-2020 北京交通大学轨道交通控制与安全国家重点实验室 副教授
2016-2020 State Key Lab of Rail Traffic Control & Safety, Beijing Jiaotong University Associate Professor
2017.10-2018.04 北京铁路局 调研高速列车调度指挥
2017.10-2018.04 Beijing Railway Administration, Investigation on High Speed Train Dispatching
2015.03-2015.07 北京轨道交通指挥中心 调研城轨行车调度
2015.03-2015.07 Beijing Rail Traffic Control Center, Investigation on Urban Rail Train Dispatching
2014.02-2014.10 北京地铁运营有限公司 调研运行计划编制
2014.02-2014.10 Beijing Metro Operation Co., Ltd., Investigation on Timetable Planning for urban trains
2013.10-2013.11 西班牙理工大学和卡米亚斯大主教大学 访问学者
2013.10-2013.11 The Technical University of Madrid & Universidad Pontificia Comillas, Academic Visitor
2013.09-2013.10 荷兰代尔夫特大学 访问学者
2013.09-2013.10 Delft University of Technology, Academic Visitor
2012.11-2013.11 英国伯明翰大学 访问学者
2012.11-2013.11 University of Birmingham, UK Visiting scholar
研究方向
控制工程
人工智能
新一代电子信息技术
软件工程
交通智能控制与优化
无人系统与智能感知
网络与信息安全
招生专业
控制工程硕士
控制工程博士
人工智能硕士
新一代电子信息技术(含量子技术等)博士
软件工程硕士
交通信息工程及控制博士
交通信息工程及控制硕士
控制科学与工程硕士
网络与信息安全硕士
科研项目
科研项目：主持国家自然科学基金重点、面上，国家重点研发计划课题、任务，教育部科技领军人才等多项国家级项目。
主持：
Preside over the project
1. 城轨列车ATO实时节能控制算法研究，国家重点实验室，5万，2017.02-2018.02;
Research on ATO Real-time Energy-efficient Control Algorithm for Urban Rail Trains, Supported by State Key Lab,￥50,000，2017.02-2018.02;
2. 城轨系统单列车多站间优化运行方法研究，北京交通大学人才基金，15万，2017.03-2018.06;
Research on Optimization of Train Timetable in Urban Rail System，Supported by Talent fund of Beijing Jiaotong University， ￥150,000，2017.03-2018.06;
3. 基于机器学习的列车间再生能利用优化方法研究，北京市自然基金“”轨道交通联合“，26万，2018.01-2020.06;
Optimization on the Utilization of the Regenerative Energy among Trains Based on Machine Learning, Supported by Beijing Natural Science Foundation， ￥260,000，2018.01-2020.06;
4. 复杂环境条件下重载列车驾驶优化控制方法研究，国家重点实验室自主课题，10万，2018.01-2019.12;
Research on Optimal Control of Heavy Freight Train under Complex Environment Conditions, Supported by State Key Lab，￥100,000, 2018.01-2019.12;
5. ATO驾驶列车的节能优化应用研究，北京地铁运营有限公司，30万，2018.01-2018.12;
Application of the Real-time Energy-efficient control algorithm in practical ATO system，Supported by Beijing Metro Operation Co., Ltd., ￥300,000，2018.01-2018.12.
6. 长大下坡区段重载列车智能驾驶控制方法，国家自然基金“青年”，26万，2019.01-2021.12;
7. 长大下坡区段重载列车智能驾驶控制方法，国家自然基金“面上”，58万，2022.01-2025.12;
8. 面向虚拟编组的城轨列车群调控一体化理论与关键技术，国家自然基金“区域联合基金”，309.6万，2023.01-2026.12;
主要参与项目：
Project as Main Participant
1. 高速列车自动驾驶理论和关键技术研究，国家自然科学基金“重点”项目，233万，2018.01-2021.12;
Research on Automatic Control Theory and Key Technologies of High-speed Train, Supported by The National Natural Science Foundation, ￥2.33 million, 2018.01-2021.12;
2. 复杂环境下高速列车运行优化控制方法，国家自然科学基金“重大”项目，548万，2018.01-2022.12;
Operation Optimization Control Method for High-speed Train in Complex Environment, Supported by The National Natural Science Foundation, ￥5.48 million, 2018.01-2022.12.
其他参与项目：
Other projects
1. 城市轨道交通运营中断恢复阶段列车运行计划自动调整模型与算法，北京市自然基金“”轨道交通联合“，2018.01-2019.06;
An Automatic Adjustment Model and Algorithm for Train Operation Planning in the Period of Interrupted Restoration of Urban Rail Transit Operations, Supported by Beijing Natural Science Foundation，2018.01-2019.06;
2. 复杂环境下高速列车运行优化控制方法研究，国家重点实验室，2018.01-2018.12;
Research on Optimized Control Methods for High-speed Train Operation under Complex Environment, Supported by State Key Lab, 2018.01-2018.12;
3. 信号系统与运营管理衔接研究，北京地铁运营有限公司，2017.01-2017.12;
Research on the Connection between Signal System and Operation Management, Supported by Beijing Metro Operation Co., Ltd., 2017.01-2017.12;
4. 雨雪天气条件下列车节能驾驶策略优化技术研究，国家重点实验室，2018.01-2018.12;
Research on the Optimization Technology of Driving Strategies for the Train Running in Rain and Snow Weather Conditions, Supported by State Key Lab, 2018.01-2018.12;
5. 成网条件下高速铁路信号系统安全保持与综合效能提升技术，北京交通大学基本科研业务费，2017.05-2018.12;
High-speed Railway Signalling System Security Maintenance and Comprehensive Efficiency Improvement Technology under Networking Condition, Supported by Fundamental Research Funds, Beijing Jiaotong University, 2017.05-2018.12;
论文/期刊
发表论文70余篇，其中第一作者和通信作者共发表SCI论文30余篇，高被引论文8篇，热点论文1篇。
期刊论文(Journal Papers):
1. Su S, Li X, Tang T, et al. A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(2):883-893.(SCI)(ESI高被引)
2. Su S, Tang T, Li X, et al. Optimization of Multitrain Operations in a Subway System[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2):673-684.(SCI)
3. Su S, Tang T, Roberts C. A Cooperative Train Control Model for Energy Saving[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(2):622-631.(SCI)
4. Su S, Tang T, Chen L, et al. Energy-efficient train control in urban rail transit systems[J]. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail & Rapid Transit, 2014, 229(4).(SCI)
(one of the top 10 most cited papers in Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit (JRRT) published in the years 2014-2015)
5. Su S, Tang T, Wang Y. Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model[J]. Energies, 2016, 9(2).(SCI)
6. Su S, Tang T, Li X. Driving strategy optimization for trains in subway systems[J]. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail & Rapid Transit, 2016.(SCI)
7. 宿帅, 唐涛. 城市轨道交通ATO的节能优化研究[J]. 铁道学报, 2014,36(12):50-55.(EI)
8. Yihui Wang, Xiaojun Pan, Shuai Su et al. Integrated line planning and train scheduling for an urban rail transit line[J]. Transportation research record, 2016,2540:66-75.(SCI)
9. Huang Y, Ma X, Su S, et al. Optimization of Train Operation in Multiple Interstations with Multi-Population Genetic Algorithm[J]. Energies, 2015, 8(12):14311-14329.(SCI)
10. Zhao L, Li K, Su S. A Multi-objective Timetable Optimization Model for Subway Systems[J]. Lecture Notes in Electrical Engineering, 2014, 287:557-565.(EI)
11. Miao Zhang , Yihui Wang , Yimeng Luo , Shuai Su , Tao Tang , Bin Ning，A short turning strategy for train scheduling optimization in an urban rail transit linethe case of Beijing subway line 4 , Journal of Advanced Transportation.(SCI)
12.唐涛, 荀径, 曹芳,王义惠，宿帅*. 北京地铁亦庄线列车节能驾驶研究[J]. 北京交通大学学报, 2016, 40(4):19-24.
13. Wang C, Li K Ch, Su S, Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle, Complexity, 2018, 11 pages, https://doi.org/10.1155/2018/7234147.
会议论文(Conference Papers)：
1. Su S, Tang T, Roberts C, et al. Cooperative train control for energy saving[C]. IEEE International Conference on Intelligent Rail Transportation. 2013:7-12.
2. Su S, Wang Y, De Schutter B, et al. Energy-Ecient Operation of Subway Systems[C]. Transportation Research Board 92nd Annual Meeting. 2013.
3. Tian Z, Hillmansen S, Roberts C, et al. Modeling and simulation of DC rail traction systems for energy saving[C]. IEEE International Conference on Intelligent Transportation Systems. 2014:2354-2359.
4. Xin T, Roberts C, He J, et al. Railway vertical alignment optimisation at stations to minimise energy[C]. IEEE International Conference on Intelligent Transportation Systems. 2014:2119-2124.
5. Zhao N, Roberts C, Hillmansen S, et al. Train trajectory optimisation of ATO systems for metro lines[C]. IEEE International Conference on Intelligent Transportation Systems. IEEE, 2014:270-280.
6. Zhang Miao, Wang Yihui, Su Shuai et al., Train scheduling with short turning strategy for an urban rail transit line with multiple depots, Transportation Research Board 92nd Annual Meeting. 2017.
7. Tang licheng, Tang Tao, Su Shuai et al., Optimization of Train Speed Curve Based on ATO Tracking Control Strategy, Chinese control conference 2017.
8. Zhang Miao, Wang Yihui, Su Shuai et al., Train scheduling with short turning strategy for an urban rail transit line with multiple depots, 2017 ITSC, Yokohama, Japan.
9. 第二届铁路运营管理研究国际研讨会特邀报告“一体化列车节能运行方法与系统节能设计”
10.Yihui Wang, Miao Zhang, Shuai Su, Tao TANG, Bin Ning, Lei Chen，An Operation Level Based Train Regulation Model for a Metro Line，IEEE International Conference on Intelligent Transportation Systems. 2019
11.Zhuolin Hu, Tao TANG, Wanli Lu, Wei Zheng, JIDONG LYU, Shigen Gao, Shuai Su，Fault Diagnosis of the On-Board Equipment in CTCS-3 Based on Timed Automata and Mutation Analysis，IEEE International Conference on Intelligent Transportation Systems. 2019
12.Fanglin Cheng, Shuai Su, Miao Zhang, Kaicheng Li, Tao TANG, Lei Yuan，Energy-efficient trajectory planning for high-speed trains via an mixed integer linear programming approach，IEEE International Conference on Intelligent Transportation Systems. 2019
专著/译著
1. 10000个科学难题-交通运输卷“列车运行调度与控制一体化”章节
2. 城轨列车节能运行控制与优化方法，宿帅，唐涛，阴佳腾，田中北，北京交通大学出版社，2020。
3. 高速铁路行车调度与控制一体化，唐涛，宿帅，孟令云，阴佳腾，中国铁道出版社，2023
4. 高速列车自动驾驶控制理论，宿帅，李开成，唐涛，袁磊，中国铁道出版社，2023
5. Energy-efficient train operation, Shuai Su, Zhongbei Tian, Rob M.P.Goverde, 2023
社会兼职
担任国际INFORMS组织铁路分会主席
担任学术期刊IEEE Transactions on intelligent transportation systems, Transportation research part C, IET Electrical Systems in Transportation, Transportmetrica B: Transport Dynamics, IEEE Intelligent Transportation Systems Magazine, Journal of Intelligent Transportation Systems等期刊审稿人。
Reviewers for journals in IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, IET Electrical Systems in Transportation, Transportmetrica B: Transport Dynamics, IEEE Intelligent Transportation Systems Magazine, and Journal of Intelligent Transportation Systems.
中国自动化学会高级会员
Senior member of Chinese Association of Automation
人工智能协会分会“智能交通系统”会员
Member of "Intelligent Transportation System" of Artificial Intelligence Association.
自动化学会青年工作委员会委员
Committee member of the youth committee of Chinese Association of Automation
自动化学会智能教育专委会委员
Committee member of the AI education of Chinese Association of Automation
美国TRB年会Rail Transit systems Committee分会会员
Member of the TRB Annual Rail Transit systems Committee
专利
申请发明专利(Application of patents):：授权发明专利22项，国际专利6项
教学工作
本科生课程(Undergraduate course):
系统之美, “Thinking in system”;
强化学习基础，“Reinforcement learning”
智能装备与无人系统，“Intelligent equipment and unmanned system”
研究生课程(Graduate course):
强化学习方法基础，“Reinforcement learning”
获奖与荣誉
2018年教育部自然科学一等奖;
2020年中国铁道学会科学技术奖一等奖;
2022年中国城市轨道交通科技进步一等奖;
2023年中国仪器仪表学会科技进步一等奖;
2024年中国交通运输协会科技进步一等奖;
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