I am currently a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at The Hong Kong University of Science and Technology . I am fortunate to work with Prof. Shenghan ZHANG since Sept. 2023.

I received my Ph.D. in Automation Engineering at Nanjing University of Aeronautics and Astronautics (NUAA), where I was fortunate to join the Fault Detection and Diagnostics Group led by Prof Bin JIANG (advised by Prof. Fuyang CHEN). During 2023, I was also a Postdoctral Research Associate at The Hong Kong Polytechnic University and National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch), working with Prof. Yi-Qing NI. Prior to this, I obtained my bachelor’s degree from NUAA.

I have a broad research interest in leveraging data-efficient learning for advanced Structural Sensing, Inspection, and Monitoring, with an ultimate goal to develop Generalized Digital Twin Paradigms for mechanical and thermodynamic systems. My topics include Visual Measurement, Multi-modal Learning, Domain Adaptation / Generalization, Zero-shot / Few-shot Learning, Data Stream Mining, Incremental Learning, Label-noise Learning and Federated Learning.

I have published several papers at the top journals such as IEEE Transactions on Neural Networks and Learning Systems, Reliability Engineering & System Safety and IEEE Transactions on Instrumentation and Measurement.

If you are seeking any form of academic cooperation, please feel free to email me at sudao.he@ust.hk.