教育背景
2016. 09-2021.06 北京交通大学 电子信息工程学院,工学博士, 专业:交通信息工程及控制,导师:唐涛 教授
2018. 10-2020. 11 美国 佐治亚理工学院,访问学者, 专业:工业工程 (连续数十年全美排名第一), 导师:美国工程院院士 史建军 教授。
工作经历
2023.11 -今 北京交通大学, 自动化与智能学院,讲师、副教授,博导
2023.11- now School of Automation and Intelligence, Beijing Jiaotong University, Assistant/Associate Professor
2021.06 -2023.11 北京交通大学, 轨道交通控制与安全国家重点实验室、先进轨道交通自主运行全国重点实验室,讲师
2021.06- 2023.03 State Key Laboratory of Rail Traffic Control and Safety / State Key Laboratory of Advanced Rail Transit Autonomous Operation, Beijing Jiaotong University, Assistant Professor
王峰工作于 曹源 教授团队,长期从事轨道交通装备智能运维技术等方向的研究与教学,近2年多主持国家自然科学基金、国家重点研发计划任务等多项科研项目。
Feng Wang has been engaged in research and teaching in the field of intelligent maintenance for rail transit equipment. In recent two years, he has held and participated in national projects which are by National Natural Science Foundation of China, the National Key R&D Program of China, ect.
研究方向: 轨道交通智能运维:大模型应用、具身智能、高维数据分析(张量学习、深度学习)、机械结构和装备状态监/检测、故障诊断、预测与健康管理
Research Interests:Intelligent Operation and Maintenance of Rail Transit: Application of Large Language Models, Embodied AI, High-dimensional Data Analysis (Tensor Analysis, Deep Learning), Monitoring/Inspection, Fault Diagnosis, Prediction and Health Management of Mechanical Structures and Equipment Status.
本人与多所国内外一流院校建立密切的合作关系,可为优秀学生提供联合培养等交流机会,有机会推荐到佐治亚理工学院 (Georgia Tech)、威斯康星大学麦迪逊分校(UW–Madison)、美国亚利桑那州立大学 (ASU)、美国佛罗里达大学 (UF)、佛罗里达州立大学 (FSU)等国际一流高校学习访问。
I have established close cooperation with several world-class universities such as Georgia Tech, University of Wisconsin–Madison, Hong Kong University of Science and Technology, Arizona State University (ASU), University of Florida (UF), Florida State University (FSU). There are opportunities for excellent students to be recommended to these universities.
个人学术主页 (Homepage):https://scholar.google.com/citations?user=Y6bb-DEAAAAJ&hl=zh-CN
学生培养:
硕士:
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21级硕士 刘宗宝(协助培养)(2023年6月获得北京交通大学优秀硕士论文):签约中国通号CRSC
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22级硕士 何姝仪(发表An1区SCI论文1篇,2025年6月获得北京交通大学优秀硕士论文)、王雯婧(发表EI论文1篇)
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24级硕士 黄永帅、王金超;
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25级硕士 王杰、苏二永
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26级硕士 江坤、朱梦成、杨皓
本科生:
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22级本科生 李锦怡、冯坤宇、王奕文 在2023年度被评为北京交通大学生国家级大学生创新训练项目(发表SCI论文一篇)(冯坤宇:香港中文大学读研、李锦怡:东南大学读研)
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20级本科生 程浩 获评2024年北京交通大学优秀本科毕业设计(论文)(发表An3 SCI论文1篇)
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23级本科生 詹博涵、孙涛、许进阳 在2024 年北京交通大学大学生智能汽车竞赛取得优异成绩
教学工作
本科生课程,人工智能基础及应用(48学时,春季学期)
本科生课程,数据结构(32学时,春季学期)
本科生课程,基于ACM平台编程训练(32学时,春季学期)
本科生课程,系统可靠性与安全性(48学时,秋季学期)
研究生课程,论文写作与学术规范(16学时,秋季学期)
论文/期刊
发表论文40余篇,其中SCI论文20余篇,其中代表性成果如下:
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Kunyu Feng, Jinyi Li, Yuan Cao, Feng Wang*, Shuai Su, Yongkui Sun; Tunnel 3D Reconstruction Method Based on SfM and MVS, Transportation Research Record, 2026, Accepted.
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Feng Wang, Yuan Cao, Jiao Li. Sparse Learning-Based Optimal Design for Tractive Layout of Railway Turnout,IEEE Transactions on Intelligent Transportation Systems, , 2026, 27(4): 4086 - 4096. (SCI, IF 8.5, 中科院1区Top 期刊)
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Yuan Cao , Shuyi He , Feng Wang *, Shuai Su , Yongkui Sun; A Large-Model-Enhanced Method for Rail Surface Defect Detection in Heavy-haul Railway, IEEE Transactions on Intelligent Transportation Systems, 2025, ,
26(12): 23328 - 23341. (SCI, IF 8.5, 中科院1区Top 期刊)
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Cao Yuan, Feng Wang*, and Shuai Su. "Bi-level sparsity augmented design method for selection of tractive locations of railway turnout." Expert Systems With Applications, 2025, 275: 127123. (高被引)
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Feng Wang, Shihong Sun, Yuan Cao*, Yaowen Pei, Tao Tang; Optimal Design of Tractive Layout for Minimizing the Insufficient Displacement of Railway Turnout, IEEE Transactions on Intelligent Transportation Systems, 2023, 24(11):12597 - 12613. (SCI, IF 8.5, 中科院1区Top 期刊)
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Li
Bin, Lei Tan, Feng Wang*, and Linzhong Liu. "A railway intrusion
detection method based on decomposition and semi-supervised learning for
accident protection." Accident Analysis & Prevention, 2023, 189:
107124.
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Feng Wang; Andi Wang (in ASU); Tao Tang*; Jianjun Shi (in GT); SGL-PCA: Health Index Construction With Sensor Sparsity and Temporal Monotonicity for Mixed High-Dimensional Signals, IEEE Transactions on Automation Science and Engineering, 2023, 20(1):372-384. (SCI, IF 5.6, 中科院1区Top 期刊)
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Feng Wang; Mostafa Reisi Gahrooei* (in UF); Zhen Zhong; Tao Tang; Jianjun Shi (in GT); An Augmented Regression Model for Tensors with Missing Values, IEEE Transactions on Automation Science and Engineering, 2022, 19(4): 2968 - 2984.(SCI, IF 5.6, 中科院1区Top 期刊)
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Feng, Wang; Zhen, Zhong; Guang, Wang (in FSU); Tao, Tang*; A Penalized Convolution Model for Oil Leakage Detection in Electro-hydraulic Railway Point Systems, IEEE Transactions on Instrumentation and Measurement, 2020, 70: 3502109. (SCI, IF 5.6, 中科院2区)
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Feng, Wang; Juan, Du* (in HKUST); Yang, Zhao; Tao, Tang; Jianjun, Shi (in GT); A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics, IEEE Transactions on Reliability, 2021, 70(2): 775-789.(SCI, IF 5.9, 中科院 2 区,可靠性旗舰期刊)
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Wang, Feng; Xu, Tianhua;
Tang, Tao; Zhou, MengChu* (in NJIT); Wang, Haifeng; Bilevel Feature Extraction-Based Text
Mining for Fault Diagnosis of Railway Systems, IEEE Transactions on Intelligent
Transportation Systems, 2017, 18(1): 49-58.(SCI, IF 8.5, 中科院1区Top 期刊)
获奖与荣誉
2024年 中国铁道学会科技进步 一等奖
2022年 中国仪器仪表学会科技进步奖 一等奖
2021年 北京交通大学电子信息工程学院 优秀博士论文
社会兼职
教育部学位中心、校际凡科平台(国内权威第三方送审平台)等研究生学位论文评审专家
IEEE Trans. on Reliability, Reliability Engineering & System Safety, IEEE T-ITS, EAAI, IEEE TIM, Automation in Construction等期刊审稿人。
IEEE Member
Urban Rail Transit青年编委
中国现场统计研究会质量分会理事