师资

张明明
助理教授
脑-机器人康复技术实验室负责人
+86-755-88015285
zhangmm@sustech.edu.cn

个人简介

张明明,副研究员/博士生导师,IEEE Senior Member,南方科技大学脑-机器人康复技术实验室PI。主要研究方向包括康复机器人、触觉交互控制、人机物理与神经交互,以及基于肌电/脑电信号的智能识别算法等。相关成果以第一或通讯作者身份发表在IEEE TFS、TII、TIE、TASE、TIM、TNSRE、RAL、RAS、JBHI、TBME、JNE、J NEUROENG REHABIL、J BIOMECH、IROS等国际知名期刊或学术会议上,共计70余篇,被引800余次;申请专利35项(授权22项),出版英文专著1本。先后担任高水平学术期刊IEEE Transactions on Automation Science and Engineering编委及专刊主编,IEEE Robotics and Automation Letters编委,Science合作期刊Cyborg and Bionic Systems青年编委,《中国康复医学杂志》编委,中国康复医学会康复工程与产业促进专委会委员/副秘书长等。国际学术报告10余次,包括在2021 IEEE RCAR做题为“任务导向性机器人辅助康复技术”的Keynote Talk等。先后主持国家自然科学基金青年基金、面上基金、科技部重点研发计划子课题等省部级及以上课题6项。


实验室主页:https://zhangmmlab.com/

 

教育背景

2012年-2016年,博士,机械工程,奥克兰大学(新西兰)

2009年-2011年,硕士,机械电子,重庆大学

2005年-2009年,学士,机械工程,河南科技大学

 

工作经历

2018年8月-至今,助理教授, 南方科技大学生物医学工程系

2017年-2018年,访问研究员,奥克兰大学(新西兰)

2017年-2018年,副总裁, CASTIOT LIMITED (新西兰奥克兰)

2015年-2016年,博士后研究员,奥克兰大学(新西兰)

 

荣誉与奖励

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

 

代表性论文

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)