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张明明
副教授
副系主任
+86-755-88015285
zhangmm@sustech.edu.cn

个人介绍

张明明,IEEE Senior Member,南方科技大学生物医学工程系长聘副教授/副主任,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。研究领域主要包括智能康复机器人、智能体育工程、脑机交互理论与方法等,成功研制助行拐杖-外骨骼融合系统、触觉介导的群联康复机器人系统、任务导向性脑机接口系统,UWB/IMU可穿戴运动感知系统等,并应用于数万名患者的康复或运动训练;相关成果发表在Nature Communications、IEEE TRO、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,申请海内外专利50余项,授权30余项,出版英文专著1本;主持国家自然科学基金、广东省基础与应用基础研究基金重大项目(基石)、深圳市医学研究专项资金项目等;荣获中国康复医学会科学技术奖、广东省科学技术发明奖、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。

实验室主页:

 

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.&苍产蝉辫;二等奖(1/9),广东省技术发明奖,2025

2.&苍产蝉辫;一等奖(1/9),广东省机器人科学技术奖,2024

3.&苍产蝉辫;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.&苍产蝉辫;一等奖(2/10),中国康复医学会科学技术奖,2024

5.&苍产蝉辫;二等奖,广东省康复医学会科学技术奖,2024

6.&苍产蝉辫;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.&苍产蝉辫;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.&苍产蝉辫;优秀书院导师,南方科技大学,2021

20.&苍产蝉辫;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. C. Wang, Y. Liu, C. Sun, P. Li, Y-F. Chen, M. Dong, Z. Li, L. Liu, M. Zhang*, “Augmented Tank-Based Control Guarantees Passive Individual Interaction Environment for Multi-User Haptic-Enabled Robotic Systems”, IEEE Transactions on Robotics, 2026. DOI: 10.1109/TRO.2026.3651680.

2. C. Wang, Y. Liu, C. Sun, L. Liu, M. Zhang*, “A Two-layer Task Model for Rendering Stable Cooperative Haptics in Multi-user Haptic-enabled Robotic Systems”, IEEE Transactions on Industrial Informatics, 2025. DOI: 10.1109/TII.2025.3647544.

3. X. Lu#, Y-F. Chen #, Z. Li, J. Zhao, Y. Zhou, D. Wu, M. Zhang*, “EEG Enables Continuous Decoding of Hand Motion Angles in Polar Coordinates”, Cyborg and Bionic Systems, 2025. DOI: 10.34133/cbsystems.0469.

4. Y. Lin, F. Zhu*, Y. Zhang; H. Lin, M. Zhang*, “Open-Environment Evidential Learning for Reliable Myoelectric Locomotion Prediction”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025. 33: 4477-4486.

5. Z. Fu#, Y. Lin#, G. Xu*, M. Zhang*, “Comparative Performance of IMU and sEMG in Locomotion Mode Prediction Across Transitional and Steady-State Cyclic/Non-cyclic Gaits”, IEEE Journal of Biomedical and Health Informatics, 2025. DOI: 10.1109/JBHI.2025.3623132.

6. Z. Li#, Y-F. Chen#, J. Yu, M. Zhang*, “WavTSK: An Interpretable Fuzzy Network with Learnable Wavelet-Based Feature Extraction for Motor Imagery EEG Decoding”, IEEE Transactions on Fuzzy Systems, 2025. DOI: 10.1109/TFUZZ.2025.3623122.

7. M. Dong, H. Ruan, Z. Wang, C. Sun, S. Zuo, Y-F. Chen, J. Li*, M. Zhang*, “Toward Physician-Level Performance in Robot-Assisted Ankle Rehabilitation via Imitation Learning with Empirical and Temporal Adaption”, IEEE Transactions on Robotics, 2025. 41: 5360-5377.

8. Y-F. Chen, H. Zi, J. Zhong, C. Zhang, M. Dong, J. Yuan, M. Zhang*, “Effect and Sensitivity Analysis of VR Gaming on Human Contact Force Perception”, IEEE Transactions on Human-Machine Systems, 2025. 55(4): 629-638.

9. Y. Lin, Y. Zhang, W. Zhong, Z. Xi, Y-F. Chen, M. Zhang*, “Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025. 33: 1170-1179.

10. W. Yan, Y. Lin, Y-F. Chen, Y. Wang, J. Wang, M. Zhang*, “Enhancing Neuroplasticity for Post-Stroke Motor Recovery: Mechanisms, Models, and Neurotechnology”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025. 33: 1156-1168.

11. C. Wang, C. Zhang, W. Ye, M. Zhang*, “SCPR: A Slider-Crank-Inspired 2R1T Parallel Robot Enables High Orientation Capability without Parasitic Motion”, IEEE/ASME Transactions on Mechatronics, 2025. DOI: 10.1109/TMECH.2025.3543506.

12. 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.

13. 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, 2024. 9(11): 10636-10643.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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, 2023. 8(10): 6443-6450.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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, 2021. 7(2): 786-793.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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.

38. 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.