Prof. Shu Xin
舒心教授
Research Assistant Professor, Department of Biomedical Engineering, CUHK
xinshu[a]cuhk.edu.hk
Location: RRSSB 212A
About
Xin Shu received her B.S. degree in Electrical Engineering and Information from Sichuan University in 2017 and her Ph.D. degree in Biomedical Engineering from The Chinese University of Hong Kong in 2023, where she was supported by the Hong Kong PhD Fellowship Scheme. Prior to her appointment as a Research Assistant Professor, she was a Postdoctoral Fellow at CUHK. Her research integrates optical computing and quantitative phase imaging for biomedical applications and nanometrology. Her work has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Intelligent Systems, and Photonics Research, among others. She is an inventor on a granted U.S. patent arising from her research. She also received Best Paper Awards at the 2024 IEEE International Conference on Computational Photography (ICCP).
Professional Education and Training
- 2023-2026, Postdoctoral Fellow, The Chinese University of Hong Kong
- 2018-2023, Ph.D. in Biomedical Engineering, The Chinese University of Hong Kong
- 2013-2017, B.S. in Electrical Engineering and Information, Sichuan University
Research Interest
- Computational optics and in-situ optimization of physical optical systems
- Optical computing and AI-enabled microscopy
Course Teaching in CUHK
- BMEG2300 Circuits and Signals for Biomedical Engineering
- BMEG5830 Medical Imaging
- BMEG5860 E-Health Technologies
Selected Publications
- X. Shu, M. Niu, Y. Zhang, W. Luo, and R. Zhou*, “Neural Architecture Search Generated Phase Retrieval Net for Real-Time Off-Axis Quantitative Phase Imaging,” IEEE Photonics Technology Letters 37, 1069-1072 (2025).
- G. Zhao†*, X. Shu†, and R. Zhou, “High-Performance Real-World Optical Computing Trained by In Situ Gradient-Based Model-Free Optimization,” IEEE Transactions on Pattern Analysis and Machine Intelligence 47, 7194-7205 (2025).
- X. Shu†, S. Sansare†, D. Jin, X. Zeng, K. Y. Tong, R. Pandey*, and R. Zhou*, “Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer,” Advanced Intelligent Systems 3, 2000277 (2021).
