ZHANG Mingming
Assistant Professor
Director of NeuroRehab Robotics Lab


Mingming Zhang is an assistant professor of Biomedical Engineering at The Southern University of Science and Technology. His research interests include wearable exoskeleton robots, tactile feedback systems, intelligent control, human-computer interaction, and intelligent recognition algorithms based on EMG/EEG signals. In the past ten years, he was committed to developing intelligent, precise, closed-loop, efficient neurorehabilitation innovation technology and equipment for daily-living-oriented tasks. He has constructed several original neurological rehabilitation robot systems with completely independent intellectual property rights through the cross fusion of robotics, neuroscience, biomedical engineering, artificial intelligence and other disciplines. Basic research and clinical applications have been conducted on these systems, related papers have been published in IEEE TII, TIE, TASE, RAL, TNSRE, TBME, TCDS, J NEUROENG REHABIL, J BIOMECH and other international top academic conferences.  In 2017, he co-edited a monograph in English that was published by the Institution of Engineering and Technology. His independently developed flexible ankle rehabilitation robot was selected as the cover of the monograph.  

He has applied/authorized 34 patents and 1 PCT patent.  Since August 2018, he has been the editorial board member and chief editor of JCR I journal IEEE T AUTOM SCI ENG, deputy Secretary General of Rehabilitation Engineering and Industry Promotion Committee of Chinese Rehabilitation Association, and youth member of Rehabilitation Engineering Branch of Chinese Biomedical Engineering Society.  He organized and hosted the 2019 Shenzhen International Biotechnology Leadership Conference - Intelligent Health Engineering Industry-University-Research International Forum as the chairman. He presided over 3 national/provincial/ministerial projects as project leader.

Lab website: https://zhangmmlab.com/



2012-2016, Ph.D in Mechanical Engineering, The University of Auckland, New Zealand

2009-2011, M. S. in Mechatronics, Chongqing University

2005-2009, B. S. in Mechanical Engineering, Henan University of Science and Technology


Work Experience

August of 2018-Present, Assistant Professor, Department of Biomedical Engineering, Southern University of Science and Technology

2017-2018, Visiting Research Fellow, The University of Auckland, New Zealand

2017-2018, Vice President, CASTIOT LIMITED (Auckland), New Zealand

2015-2016, Postdoc Fellow, Department of Mechanical Engineering, University of Auckland, New Zealand


Honors and Rewards

1. IEEE/ASME Member

2. Lead Guest Editor, Advances in Mechanical Engineering (SCI Journal)

3. Associate Editor,2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Auckland), 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Hong Kong)

4. Invited Reviewer for IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural System and Rehabilitation Engineering, Journal of NeuroEngineering and Rehabilitation, IEEE Transactions on Biomedical Engineering, etc


Selected Papers

1. R. Fu, Y. Chen, M. Zhang*, C. Chang*, “Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification from EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. 30: 1384-1400. (IF: 4.528)

2. Z. Sun, YC. Jiang, Y. Shu, J. Song, M. Zhang*, “Short-interval Priming Effects: an EEG Study of Action Observation on Motor Imagery”, IEEE Transactions on Cognitive and Developmental Systems, 2022. DOI: 10.1109/TCDS.2022.3187777. (IF: 4.546)

3. Y. Chen, S.-Z. Fan, M. F. Abbod, J.-S. Shieh, M. Zhang*, “Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia”, IEEE Transactions on Instrumentation and Measurement, 2022. 71: 4004413. (IF: 5.332)

4. W. Zhong#, X. Fu#, M. Zhang*, “A Muscle Synergy-Driven ANFIS Approach to Predict Continuous Knee Joint Movement”, IEEE Transactions on Fuzzy Systems, 2022. 30(6): 1553-1563. (IF: 12.253)

5. M. Zhang#*, C. Sun#, Y. Liu, X. Wu*, “A Robotic System to Deliver Multiple Physically Bimanual Tasks via Varying Force Fields”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. 30: 688-698. (IF: 4.528)

6. P. Li, K. Guo, M. Zhang*, “Linear Active Disturbance Rejection Control of Servo Systems via IMC Principle with Active Damping and Sliding Mode Techniques”, ISA Transactions, 2022. DOI: 10.1016/j.isatra.2022.02.035. (IF: 5.911)

7. YC. Jiang, R. Ma, S. Qi, S. Ge, Z. Sun, Y. Li, J. Song, M. Zhang*, “Characterization of Bimanual Cyclical Tasks from Single-trial EEG-fNIRS Measurements”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. 30: 146-156. (IF: 4.528)

8. Y. Chen, S. Fan, M. F. Abbod, J. Shieh*, M. Zhang*, “Electroencephalogram Variability Analysis for Monitoring Depth of Anesthesia”, Journal of Neural Engineering, 2021. 18: 066015. (IF: 5.043)

9. B. Zhong, K. Guo, H. Yu*, M. Zhang*, “Toward Gait Symmetry Enhancement via a Cable-Driven Exoskeleton Powered by Series Elastic Actuators”, IEEE Robotics and Automation Letters (RA-L), 2021. 7(2): 786-793. (IF: 4.321)

10. C. Sun, K. Chu, Q. Miao, P. Li, W. Zhong, S. Qi, M. Zhang*, “Bilateral Asymmetry of Hand Force Production in Dynamic Physically-Coupled Tasks”, IEEE Journal of Biomedical and Health Informatics, 2021. 26(4): 1826-1834. (IF: 7.021)

11. P. Li, L. Wang, B. Zhong, M. Zhang*, “Linear active disturbance rejection control for two-mass systems via singular perturbation approach”, IEEE Transactions on Industrial Informatics, 2022. 18(5): 3022 – 3032. (IF: 11.648)

12. Q. Miao, Z. Li, K. Chu, Y. Liu , Y. Peng , S. Xie , M. Zhang*, “Performance-based robotic assistance for subject-specific training task planning: a pilot study in robot-assisted bilateral training”, IEEE Transactions on Cognitive and Developmental Systems, 2021. DOI: 10.1109/TCDS.2021.3072096. (IF: 4.546)

13. P. Li#, L. Wang#, G. Zhu, M. Zhang*, “Predictive Active Disturbance Rejection Control for Servo Systems with Communication Delays via Sliding Mode Approach”, IEEE Transactions on Industrial Electronics, 2021. 68(12): 12679-12688. (IF: 8.162)

14. B. Zhong#, J. Cao#, A. McDaid, S. Xie, M. Zhang*, "Synchronous Position and Compliance Regulation on a Bi-Joint Gait Exoskeleton Driven by Pneumatic Muscles" IEEE Transactions on Automation Science and Engineering, 2020. 4(17): 2162-2166. (IF: 6.636)

15. P. Li, G. Zhu*, M. Zhang*, “Linear Active Disturbance Rejection Control for Servo Motor Systems with input Delay via Internal Model Control Rules”, IEEE Transactions on Industrial Electronics, 2020. 68(2): 1077-1086. (IF: 8.162)

16. M. Zhang, SQ. Xie*, X. Li, G. Zhu, W. Meng, X. Huang, AJ. Veale, “Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) with Enhanced Training Safety”, IEEE Transactions on Industrial Electronics, 2017. 65(2): p. 1398 – 1407. (IF: 8.162)

17. M. Zhang*, W. Meng, TC. Davies, Y. Zhang, S. Xie, “A Robot-Driven Computational Model for Estimating Passive Ankle Torque with Subject-Specific Adaptation”, IEEE Transactions on Biomedical Engineering, 2016. 63(4): 814-821. (IF: 4.756)