高级讲师
建造、环境及工程学系
联络方法
电话: +852 2173 1933
TEACHING AREAS
- Electric vehicle design and technology
- Tribology and lubrication
ACADEMIC QUALIFICATIONS
2019: Ph. D in Mechanical Engineering, City University of Hong Kong and Xi’an Jiaotong University (joint program)
2013: BEng in Mechanical Engineering and Automation, China University of Mining and Technology
EMPLOYMENT
| 2025 – Present | Senior Lecturer, Department of Construction and Environmental Engineering, the Technological and Higher Education Institute of Hong Kong |
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| 2021 – 2025 | Lecturer, School of Automotives and Transportation, Shenzhen Polytechnic University |
PROFESSIONAL SOCIETIES AND AFFILIATION
- Member, Chinese Society of Mechanical Engineers
- Member, Chinese Society of Automotive Engineers
RESEARCH INTERESTS
- Tribology and Lubrication
- AI for science/engineering
SELECTED PUBLICATION
- Zhao, Y., Fu, Z., & Zhao, J. (2025). Weighted physics-informed neural network (Weighted PINN) for obtaining elastic responses under Hertzian-like contact. Friction.
- Zhao, Y., Guo, S., Fu, Z., & Deng, Z. (2025). Reconstructing high-resolution EHL results from coarse data by a deep convolutional neural network. Tribology International, 110787.
- Zhao, Y., & Wong, P. P. (2024). A hybrid data-driven approach for the analysis of hydrodynamic lubrication. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 238(3), 320-331.
- Zhao, Y., Guo, L., & Wong, P. P. L. (2023). Application of physics-informed neural network in the analysis of hydrodynamic lubrication. Friction, 11(7), 1253-1264.
For a complete publication list, please refer to my page: https://scholar.google.com/citations?user=ZcEQ1g4AAAAJ&hl=en