Areas of Focus
- Machine learning-based Raman spectroscopy processing and analysis
- Rapid and precise disease screening and diagnosis combining machine learning with Raman spectroscopy
- Multimodal biometric fusion based on machine learning
Work Experience
- 2023-10 to present, Shanghai Jiao Tong University, School of Biomedical Engineering, Assistant Researcher
Academic Background & Achievements
- 2019-10 to 2023-07, PhD in Engineering, University of Edinburgh
- 2018-09 to 2019-08, Master's in Artificial Intelligence, University of Edinburgh
- 2016-09 to 2018-05, Bachelor's in Electrical and Electronic Engineering, University of Edinburgh
- 2014-09 to 2018-07, Bachelor's in Information Engineering, Nanjing University of Aeronautics and Astronautics
- Award 2022: National Scholarship for Outstanding Self-financed International Students
- Award 2022: Peter Grant Best Journal Paper Award
Publications
- Artificial Intelligence for Surface-Enhanced Raman Spectroscopy, Xinyuan Bi, Li Lin, Zhou Chen, Jian Ye, 2023
- MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography, Zhou Chen, Jinxi Xiang, Pierre-Olivier Bagnaninchi, Yunjie Yang, 2023
- Mask-guided Spatial-Temporal Graph Neural Network for Multi-frequency Electrical Impedance Tomography, Zhou Chen, Zhe Liu, Lulu Ai, Sheng Zhang, Yunjie Yang, 2022
- Structure-Aware Dual-Branch Network for Electrical Impedance Tomography in Cell Culture Imaging, Zhou Chen, Yunjie Yang, Pierre-Olivier Bagnaninchi, 2021
- Hybrid Learning-Based Cell Aggregate Imaging With Miniature Electrical Impedance Tomography, Zhou Chen, Yunjie Yang, Pierre-Olivier Bagnaninchi, 2021
