Faculty

Zhou CHEN

Research Associate

Email : chenzhou96@sjtu.edu.cn

Office address : Room 207, Med-X Research Institute (Xuhui Campus)

Biography

Graduated with a Ph.D. from the University of Edinburgh in July 2023 and joined the School of Biomedical Engineering at Shanghai Jiao Tong University in the same year. Dedicated to research in machine learning, Raman spectroscopy, medical imaging, and related fields, advanced the application of machine learning in biomedical engineering. The research has unearthed the vast potential of artificial intelligence throughout the entire process of Raman spectroscopy technology and the application of a bioimpedance imaging system based on machine learning in regenerative medicine. Key research findings have been published in top journals such as Small Methods and IEEE Transactions on Neural Networks and Learning Systems, and contributed to one book. Received the National Outstanding Self-financed Students Scholarship in 2022 and the Peter Grant Best Journal Paper Award in 2022.

 

Education background

October 2019 - July 2023, University of Edinburgh, Engineering, Ph.D.
September 2018 - August 2019, University of Edinburgh, Artificial Intelligence, Master's.
September 2016 - May 2018, University of Edinburgh, Electrical and Electronic Engineering, Bachelor's.
September 2014 - July 2018, Nanjing University of Aeronautics and Astronautics, Information Engineering, Bachelor's.

Work Experience

October 2023 - Present, Shanghai Jiao Tong University, School of Biomedical Engineering, Assistant Research Fellow

Areas of Research Interests

Raman spectroscopy processing and analysis based on interpretable machine learning, combining machine learning with Raman spectroscopy for rapid and accurate early screening and diagnosis of diseases, multimodal biometric information fusion based on machine learning.

Selected Publications

(1) Xinyuan Bi(#); Li Lin; Zhou Chen(*); Jian Ye(*); Artificial Intelligence for Surface-Enhanced Raman Spectroscopy, Small Methods, 2023, DOI:10.1002/smtd.202301243 (IF= 15.3)

(2) Zhou Chen(#); Jinxi Xiang; Pierre-Olivier Bagnaninchi; Yunjie Yang(*); MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(11): 8938-8949 (IF= 14.2)

(3) Zhou Chen(#); Zhe Liu; Lulu Ai; Sheng Zhang; Yunjie Yang(*); Mask-guided Spatial-Temporal Graph Neural Network for Multi-frequency Electrical Impedance Tomography, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-10 (IF= 5.6)

(4) Zhou Chen(#); Yunjie Yang(*); Structure-Aware Dual-Branch Network for Electrical Impedance Tomography in Cell Culture Imaging, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10 (IF= 5.6)

(5) Zhou Chen(#); Yunjie Yang(*); Pierre-Olivier Bagnaninchi; Hybrid Learning-Based Cell Aggregate Imaging With Miniature Electrical Impedance Tomography, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-10 (IF= 5.6)