Dr. Wang Tiange graduated from Nanjing University with a bachelor's degree in 2018 and from the School of Data Science at City University of Hong Kong with a doctorate in 2022. In 2023, she was selected for the Shanghai Leading (Overseas) Youth Project and joined Tongji University as an assistant professor in November, and joined the National Key Laboratory of High-Speed Maglev Transportation Technology.
Research direction: Dr. Wang Tiange focuses on the research of big data and computer intelligence algorithms for high-speed rail transportation safety detection. The current sub-topics of the research group include:
(1) Research on lightweight rail detection and semi-supervised defect segmentation based on image recognition
(2) Research on track scarcity anomaly diagnosis based on sensor data
(3) Research on rail fault identification and maintenance prediction framework based on text data.
Education
2018.9-2022.10, City University of Hong Kong, School of Data Science, PhD
2014.9-2018.6, Nanjing University, School of Engineering Management, Bachelor
Experience
2024.9-Present, Assistant Professor, School of Transportation, Tongji University
2023.11-2024.8, Assistant Professor, Institute of Railway and Urban Rail Transit, Tongji University
2023.4-2023.7, Associate Research Fellow, Shenzhen Research Institute, City University of Hong Kong
2022.10-2023.3, Postdoctoral Fellow, Advanced Design and Systems Engineering, City University of Hong Kong
Research interests
Computer vision, large language generalization models, and their applications in rail health monitoring and diagnosis
Honors & Awards
2025 Shanghai Transportation Engineering Society Science and Technology Award (Special Prize)
2023: Selected for the 15th Shanghai Overseas High-level Young Talent Program
2018-2022: Hong Kong Doctoral Scholarship
Five representative papers
·T. Wang, Z. Zhang*, K. L. Tsui (2022). A Deep Generative Approach for Rail Foreign Object Detections via Semi-supervised Learning. IEEE Transactions on Industrial Informatics. (SCI一区top)
·T. Wang, Z. Zhang*, F. Yang, K. L. Tsui (2022). Automatic Rail Component Detection Based on AttnConv-Net. IEEE Sensors Journal, 3, 2379-2388. (SCI二区top)
·L. Zhuang, H. Qi,T. Wang*, Z. Zhang* (2022). A Deep Learning Powered Near Real-time Detection of Railway Track Major Components: A Two-stage Computer Vision Based Method. IEEE Internet of Things Journal. (SCI一区top)
·T. Wang, Z. Zhang*, K. L. Tsui (2023). PFFN: Periodic Feature-Folding Deep Neural Network for Traffic Condition Forecasting. IEEE Internet of Things Journal. (SCI一区top)
·T. Wang, Z. Zhang*, K. L. Tsui (2023). CAMV: A Crash Alarm Model for Vehicles Based on Internet of Vehicles Data. IEEE Transactions on Intelligent Transportation Systems. (SCI一区top)