个人简介

张明明，南方科技大学生物医学工程系长聘副教授/博士生导师，国家高层次青年人才/科技部重点研发计划青年科学家/广东省杰青，脑-机器人康复技术实验室主任；主要研究康复机器人和脑机交互等创新理论和关键技术，积累的任务导向性拐杖-助行外骨骼系统、任务导向性触觉反馈系统、任务导向性意图解码系统等关键技术成功应用于数百名患者的康复训练；相关成果发表在Nature Communications、IEEE TFS、TII、TIE、T-Mech、TASE、TIM、TNSRE、RAL、JBHI、TBME、ICRA/IROS等知名期刊或学术会议上共100余篇，其中中科院TOP论文40余篇；申请海内外专利50余项，授权30余项；出版英文专著1本；荣获中国康复医学会科学技术奖、粤港澳大湾区人工智能与自动化学会自然科学奖、广东省机器人科学技术奖等；先后担任高水平期刊IEEE TASE、IEEE TNSRE、IEEE RAL、IEEE TMRB等副主编；近5年主持国家自然科学基金等10余重要课题。

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

2024年5月-至今，副教授，南方科技大学生物医学工程系

2018年8月-2024年5月，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，技术总监， 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.Senior Member, IEEE

2.一等奖（1/9），广东省机器人科学技术奖，2024

3. 一等奖（1/4），粤港澳大港区人工智能与自动化学会自然科学奖，2024

4. 一等奖（2/10），中国康复医学会科学技术奖，2024

5. 二等奖，广东省康复医学会科学技术奖，2024

6. 校级教学成果奖特等奖，南方科技大学，2024

7. Young Editor, Cyborg and Bionic Systems, Science Partner Journal, 2021-2023

8. Associate Editor, IEEE Robotics and Automation Letter, 2022-Present

9. Associate Editor, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023-Present

10. Associate Editor, IEEE Transactions on Medical Robotics and Bionics, 2023-Present

11.Lead Guest Editor/Associate Editor, Special Issue on Topic “AI in Automation for Healthcare Applications”, IEEE Transactions on Automation Science and Engineering, 2019-2021

12. Associate Editor, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019-2023

13. 特邀编委, 中国康复医学杂志, 2020-2022

14. Best Conference Paper, The 29th IEEE International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2023

15. 优秀教学奖，南方科技大学，2023

16. Best Conference Paper Finalist, IEEE International Conference on Advanced Robotics and Mechatronics (ARM), 2022

17. Best Student Paper Finalist Award，The IEEE International Conference on Real-time Computing and Robotics (RCAR)，2022

18. T.J. Tran Best Paper in Robotics Finalist Award, 2020-2021 IEEE International Conference on Robotics and Biomimetics, 2020-2021

19. 优秀书院导师，南方科技大学，2021

20. 第五届青年教师教学竞赛特等奖（全校仅2名），南方科技大学，2021

代表性论文

1. M. Zhang, K. Guo, Z. Gao, J. Wu, Y. Chen*, M. Dong*, “Power Modulation Enables Reduced Motor Power Requirement of Ankle Assistance Exosuit”, IEEE Transactions on Automation Science and Engineering, 2024. DOI: 10.1109/TASE.2024.3488714.

2. C. Sun, Y. Liu, C. Wang, Y. Lin, Y. Chen, J. Wu, J. Long, M. Zhang*, “A Unified Control Framework Enables Robust Robotic Haptic Rendering of Bimanual Rehabilitation Tasks”, IEEE Robotics and Automation Letters (RA-L), 2024. 9(11): 10636-10643.

3. P. Fu#, W. Zhong#, Y. Zhang, W. Xiong, Y. Lin, Y. Tai, L. Meng, M. Zhang*, “Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG”, IEEE Journal of Biomedical and Health Informatics, 2024. 28(11): 6629-6640.

4. M. Zhang, C. Wang*, C. Zhang, P. Li, L. Liu, “A Unified Switching Control Framework for Continuous Robot-Assisted Training”, IEEE/ASME Transactions on Mechatronics, 2024. 29(4): 2743-2755.

5. C. Zhang, C. Wang, P. Li, Y. Liu, Y. Chen, M. Zhang*, “Robot-Assisted Haptic Rendering for Nail Hammering: A Representative of IADL Tasks”, IEEE Transactions on Automation Science and Engineering, 2024. 21(3): 4028-4041.

6. Y. Jiang, C. Zheng, R. Ma, Y. Chen, S. Ge, C. Sun, J. Long, P. Fang, M. Zhang*, “Within-session Reliability of fNIRS in Robot-assisted Upper-limb Training”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024. 32: 1302-1313.

7. W. Zhong#, L. Zhang#, Z. Sun, M. Dong*, M. Zhang*, “UI-MoCap: An Integrated UWB-IMU Circuit Enables 3D Positioning and Enhances IMU Data Transmission”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024. 32: 1034-1044.

8. M. Zhang, C. Wang*, C. Zhang, P. Li, L. Liu, “A Unified Switching Control Framework for Continuous Robot-Assisted Training”, IEEE/ASME Transactions on Mechatronics, 2023. DOI: 10.1109/TMECH.2023.3330875.

9. R. Ma#, Y. Chen#, Y. Jiang, M. Zhang*, “A New Compound-limbs Paradigm: Integrating upper-limb swing improves lower-limb stepping intention decoding from EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. 31: 3823-3834.

10. H. Liu#, F. Wu#, B. Zhong, Y. Zhao, J. Zhang, W. Niu, M. Zhang*, “Close-Range Human Following Control on a Cane-Type Robot with Multi-Camera Fusion”, IEEE Robotics and Automation Letters (RA-L), 2023. 8(10): 6443-6450.

11. C. Zhang, C. Wang, P. Li, Y. Liu, Y. Chen, M. Zhang*, “Robot-Assisted Haptic Rendering for Nail Hammering: A Representative of IADL Tasks”, IEEE Transactions on Automation Science and Engineering, 2023. DOI: 10.1109/TASE.2023.3291751.

12. Q. Huang, B. Zhong, N. Elangovan, M. Zhang*, J. Konczak*, “A Robotic Device for Measuring Human Ankle Motion Sense”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. 31: 2822-2830.

13. B. Zhong#, M. Shen#, H. Liu#, Y. Zhao, Q. Qian, W. Wang, H. Yu*, M. Zhang*, “A Cable-driven Exoskeleton with Personalized Assistance Improves the Gait Metrics of People in Subacute Stroke”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. 31: 2560-2569.

14. C. Zhang, C. Wang, Q. Yang, M. Zhang*, “An Optimized Portable Cable-Driven Haptic Robot Enables Free Motion and Hard Contact”, IEEE International Conference on Robotics and Automation (ICRA), 29 May-2 June 2023, p: 12486-12492, London, United Kingdom.

15. M. Zhang#, J. Wu#, J. Song, R. Fu, R. Ma, Y. Jiang, Y. Chen*, “Decoding Coordinated Directions of Bimanual Movements from EEG Signals”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. 31: 248-259.

16. Y. Chen#, F. Fu#, J. Wu, J. Song, R. Ma, Y. Jiang, M. Zhang*, “Continuous Bimanual Trajectory Decoding of Coordinated Movement from EEG Signals”, IEEE Journal of Biomedical and Health Informatics, 2022. 26(12): 6012-6023.

17. 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.

18. Z. Sun#, Y. Jiang#, Y. Li#, J. Song, M. Zhang*, “Short-term 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.

19. 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.

20. 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.

21. 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.

22. 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. 129: 663-672.

23. 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.

24. 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.

25. 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.

26. 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.

27. Q. Miao, Z. Li, K. Chu, Y. Liu, Y. Peng, S. Xie, M. Zhang*, “Performance-based Iterative Learning Control for Task-oriented Rehabilitation: A Pilot Study in Robot-assisted Bilateral Training”, IEEE Transactions on Cognitive and Developmental Systems, 2021. DOI: 10.1109/TCDS.2021.3072096.

28. 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.

29. 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.

30. Y. Peng, X. Song, K. Pang, Q. Yang, Z. Xu*, M. Zhang*, “A Flexible and Stretchable Bending Sensor based on Hydrazine-Reduced Porous Graphene for Human Motion Monitoring”, IEEE Sensors Journal, 2020. 21(20): 12661-12670.

31. 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.

32. M. Zhang*, A. McDaid, AJ. Veale, Y. Peng, S. Xie, “Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot with Joint-Space Force Distribution”, IEEE Access, 2019. 7: 85812-85820.

33. M. Zhang, S. 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, 2018. 65(2): 1398-1407.

34. 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.