陈义峰，博士，1990年出生。2017年毕业于武汉理工大学，并获得工学博士学位。曾于2012年和2015年分别前往台湾元智大学和新西兰奥克兰大学进行为期一年的交流学习。2020年11月，加入了南方科技大学，为前沿与交叉科学研究院和生物医学工程系联合培养博士后。陈义峰博士主要从事生物电信号的处理、机器学习、模式识别技术和非侵入式脑-机接口等方面的研究，具备生物学、信息学及通信等交叉领域基础。在南方科技大学工作的2年间，主持深圳市自然科学基金面上项目1项，参与深圳市自然科学基金重点项目、深圳市自然科学基金面上项目、国家自然科学基金面上项目和科技部国家重点研发计划项目各1项。近年来，在IEEE Journal of Biomedical and Health Informatics(IF = 7.021), IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF = 4.528)和IEEE Transactions on Instrumentation and Measurement (IF = 5.332 )等SCI期刊发表学术论文11篇。

教育背景

2014.9 - 2017.10  研究生/博士   信息工程学院，武汉理工大学，武汉，中国   

                                                 导师：刘泉教授

2011.9 - 2014.6  研究生/硕士  信息工程学院，武汉理工大学，武汉，中国   

                                                导师：周祖德教授

2007.9 - 2011.6  本科/学士  信息工程学院，武汉理工大学，武汉，中国

工作经历

2020.11 - 2022.11  博士后  南方科技大学，深圳，中国

2018.01 - 2020.10  系统工程师  武汉联影医疗科技有限公司，武汉，中国

研究方向

1. 脑机接口

2. 机器学习

3. 信号处理

4. 麻醉深度监测

承担项目

1. 深圳市科创委，面上项目，JCYJ20220530113811027，面向协同任务的上肢双边运动学神经解码技术研究，2022-10至2025-10，30万元，在研，主持

2. 深圳市科创委，重点项目，JCYJ20220818103602004，基20220084运动想象脑电信号解码关键问题研究，2022-10至2025-10，200万元，在研，合作单位负责人

3. 深圳市科创委，面上项目，JCYJ20210324104203010，基于自然运动想象的步态识别算法研究，2021-10至2021-10，60万元，在研，核心参与人员

4. 国家自然科学基金委员会，面上项目，62273173，面向生活任务的触觉反馈式肢体协调训练机器人关键技术研究，2023-01至2026-12，54万元，在研，参与人员

5. 科技部，国家重点研发计划项目，2022YFFI202500，面向主动运动增强与重建的高效感知与交互技术及产品研制，2022-11至2025-10，2000万元，在研，参与人员

代表性论文

1. Yi-Feng Chen#, Ruiqi Fu#, Junde Wu, Jongbin Song, Rui Ma, Yi-chuan Jiang, Mingming Zhang*, Continuous Bimanual Trajectory Decoding of Coordinated Movement from EEG Signals, IEEE Journal of Biomedical and Health Informatics, vol. 26: 6012-6023, 2022. (IF: 7.021)

2. Mingming Zhang#, Junde Wu#, Jongbin Song, Ruiqi Fu, Rui Ma, Yi-chuan Jiang, Yi-Feng Chen*, Decoding Coordinated Directions of Bimanual Movements from EEG Signals, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31: 248-259, 2022. (IF: 4.528)

3. Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*; Mingming Zhang*, Electroencephalogram Variability Analysis for Monitoring Depth of Anesthesia, Journal of Neural Engineering, vol. 18, no. 6, 2021, Art no. 066015. (IF=5.379)

4. Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*; Mingming Zhang*, Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia, IEEE Transactions on Instrumentation and Measurement, vol. 71, 2022, Art no. 4004413. (IF=5.332)

5. Ruiqi Fu, Yi-Feng Chen, Yongqi Huang, Shuping Chen, Feiyan Duan, Jiewei Li, Jianhui Wu, Dongmei Jiang, Junling Gao, Jason Gu, Mingming Zhang*, Chunqi Chang*, Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification from EEG, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30: 1384-1400, 2022. (IF: 4.528)

6. Rui Ma; Yichuan Jiang; Yi-Feng Chen; Mingming Zhang*, A New EEG-based Paradigm for Classifying Intention of Compound-Limbs Movement, IEEE International Conference on Advanced Robotics and Mechatronics (ARM), July 7-9, 2022, Guilin, China. (Best Conference Paper Award Finalist)

7. Yi-Feng Chen; Kiran Atal; Sheng-Quan Xie; Quan Liu*, A New Multivariate Empirical Mode Decomposition Method for Improving the Performance of SSVEP-based Brain-computer Interface, Journal of Neural Engineering, vol. 14, no. 4, 2017, Art no. 046028. (IF=5.379)

8. Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*, Quasi-periodicities Detection Using Phase-rectified Signal Averaging in EEG Signals as a Depth of Anesthesia Monitor, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25: 1773 - 1784, 2017. (IF: 4.528)

9. Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*, EEG Artifacts Reduction by Multivariate Empirical Mode Decomposition and Multiscale Entropy for Monitoring Depth of Anaesthesia during Surgery, Medical & Biological Engineering & Computing, vol. 55: 1435-1450, 2017. (IF: 3.079)

10. Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*, Improved Spectrum Analysis in EEG for Measure of Depth of Anesthesia based on Phase-rectified Signal Averaging, Physiological Measurement, vol. 38, no.2, 2017, Art no. 116. (IF: 2.688)

11. Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*, A Comparison of Five Different Algorithms for EEG Signal Analysis in Artifacts Rejection for Monitoring Depth of Anesthesia, Biomedical Signal Processing and Control, vol. 25: 24-34, 2016. (IF: 5.076)

12. Yi-Feng Chen; Jiann-Shing Shieh; Shou-Zen Fan; Wan-Ting Chiang; Maysam F. Abbod; Quan Liu*, Analyzing Heart Rate Variability Using a Photoplethysmographic Signal Measuring System, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 29-31 Aug. 2016, Auckland, New Zealand.

13. Quan Liu; Yi-Feng Chen; Shou-Zen Fan; Maysam F. Abbod; Jiann-Shing Shieh*, EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks, Computational and Mathematical Methods in Medicine, vol. 2015, 2015, Art no. 232381. (IF: 2.809)