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张明明

助理教授 博导

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个人简介:

张明明,南方科技大学生物医学工程系助理教授,博士生导师,IEEE Member。主要研究方向包括柔性驱动技术,智能控制与人机交互技术,可穿戴外骨骼康复机器人,生物力学,以及基于肌电/脑电信号的智能识别算法等。2012-2016年就读于新西兰奥克兰大学并获得工学博士学位,2015-2016年继续在奥克兰大学生物机电一体化实验室从事博士后研究,2017年初至2018年7月,任奥克兰CASTIOT LIMITED副总裁,负责下肢康复机器人研究开发,同时受聘为奥克兰大学访问研究员。多年来,一直致力于研究康复机器人的鲁棒性和智能性控制问题及临床应用,以及基于实时计算模型的生物力学评估技术,特别在柔性驱动的可穿戴康复设备及临床应用方面取得了重要成果。相关的一系列科研成果多次发表在机器人、智能控制、神经康复、及生物力学等领域的国际知名杂志上,包括IEEE Transactions on Industrial Electronics,IEEE Transactions on biomedical Engineering,Journal of NeuroEngineering and Rehabilitation,Journal of Biomechanics等,共计30余篇,已申请/授权专利23项,出版英文专著1本。2018-2021年,本课题组将重点研究可穿戴康复/健康监控机器人系统,运动想象式脑机接口技术,和人体双边-脑电意图-眼球运动的智能协调机器人系统。

 

教育背景:

2012年-2016年 新西兰奥克兰大学机械工程系 博士

2009年-2011年 重庆大学机械工程学院 硕士

2005年-2009年 河南科技大学机电工程学院 学士

 

工作经历:

2018年8月-至今 南方科技大学生物医学工程系 助理教授

2017年-2018年 新西兰奥克兰大学 访问研究员

2017年-2018年 新西兰奥克兰CASTIOT公司 副总裁

2015年-2016年 新西兰奥克兰大学机械系 博士后

 

荣誉及奖励:

1. IEEE Member

2. 副编辑,2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics

3. 审稿专家 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

 

代表论文:

1. Q. Miao, A. McDaid, M. Zhang*, P. Kebria, H. Li, “A three-stage trajectory determination method of bilateral upper limb training using interference analysis”, Robotics and Autonomous Systems, 2018. 105: p. 38-46.

2. M. Zhang*, S. Zhang, A. McDaid, C. Davies, Sheng Q. Xie, “Automated objective robot-assisted assessment of wrist passive ranges of motion”, Journal of Biomechanics, 2018. 73: p. 223–226.

3. Q. Miao, M. Zhang*, C. Wang, H. Li, “Towards optimal robot design for ankle rehabilitation: The state of art and future prospects”, Journal of Healthcare Engineering, 2018.

4. M. Zhang, S. Xie, X. Li, G. Zhu, W. Meng, X. Huang, A. 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.

5. M. Zhang, J. Cao, G. Zhu, Q. Miao, X. Zeng, S. Xie, “Reconfigurable Workspace and Torque Capacity of a Compliant Ankle Rehabilitation Robot (CARR)”, Robotics and Autonomous Systems, 2017. 98: p. 213-221.

6. M. Zhang, J. Cao, S. Xie, G. Zhu, X. Zeng, X. Huang, Q. Xu, “A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot”, Journal of Intelligent & Robotic Systems, 2017.

7. Q. Miao, M. Zhang*, S. Xie, “Design and Interaction Control of a New Bilateral Upper Limb Rehabilitation Device (BULReD)”, Journal of Healthcare Engineering, 2017.

8. M. Zhang, T.C. Davies, Y Zhang, and S. Xie, “A Robot-Driven Computational Model Based Ankle Assessment Technique with Subject-Specific Adaptation”, IEEE Transactions on Biomedical Engineering, 2016. 63(4): p. 814-21.

9. M. Zhang, T.C. Davies, Y. Zhang, and S. Xie, “A real-time computational model for estimating kinematics of ankle ligaments”, Computer Methods in Biomechanics and Biomedical Engineering, 2016. 19(8): p. 835-44.

10. M. Zhang, T.C. Davies, A. Nandakumar, and S. Xie, “A Novel Assessment Technique for Measuring Ankle Orientation and Stiffness”, Journal of Biomechanics, 2015, 48(12): p. 3527-9.

11. M. Zhang, T.C. Davies, Y. Zhang, and S. Xie, Zhang, M., et al., Reviewing effectiveness of ankle assessment techniques for use in robot-assisted therapy. Journal of Rehabilitation Research & Development, 2014. 51(4), p. 517-34.

12. M. Zhang, et al., “An Assistance-as-Needed Control Paradigm for Robot-Assisted Ankle Rehabilitation”, Rehabilitation Process and Outcome, 2014: p. 15-17.

13. M. Zhang, T.C. Davies, and S. Xie, Effectiveness of robot-assisted therapy on ankle rehabilitation — a systematic review. Journal of NeuroEngineering and Rehabilitation, 2013. 10(1): p. 30.

14. 王时龙(导师),张明明,周杰,赵昱,李小勇,田波,“振动状态下螺旋弹簧运动状态模型”,机械工程学报, 2012, 48 (1): 78-83.

15. X. Zeng, G. Zhu, M. Zhang, and S. Xie, “Reviewing Clinical Effectiveness of Active Training Strategies of Platform based Ankle Rehabilitation Robots”, Journal of Healthcare Engineering, 2018.

16. X. Zeng, G. Zhu, L. Yue, M. Zhang, and S. Xie, “A Feasibility Study of SSVEP-based Passive Training on an Ankle Rehabilitation Robot”, Journal of Healthcare Engineering, 2017.

17. D. Xu, M. Zhang*, Y. Sun, X. Zhang, H. Xu, Y. Li, X. Li, S. Xie, “Development of a Reconfigurable Wrist Rehabilitation Device with an Adaptive Forearm Holder”, 2018 IEEE International Conference on Advanced Intelligent Mechatronics (AIM): Auckland, New Zealand.

18. H. Xu, M. Zhang*, Y. Li, D. Xu, J. Fu, X. Zhang, X. Li, S. Xie, “A Pneumatic Robotic System for Bilateral Upper Limb Training with Variable Resistance”, 2018 IEEE International Conference on Advanced Intelligent Mechatronics (AIM): Auckland, New Zealand.

19. X. Zeng, G. Zhu*, P. Li, H. Lu, M. Zhang, S. Xie “A Feasibility Study of Robot-Assisted Ankle Training Triggered by Combination of SSVEP Recognition and Motion Characteristics”, 2018 IEEE International Conference on Advanced Intelligent Mechatronics (AIM): Auckland, New Zealand.

20. M. Zhang, S. Xie, W. Meng, G. Zhu, X. Zeng, X. Huang, Q. Xu, “Robot-assisted ankle rehabilitation for the treatment of drop foot: A case study”, 12th IEEE/ASME International Conference on in Mechatronic and Embedded Systems and Applications, 2016: Auckland, New Zealand.

21. M. Zhang, B. Sheng, T. C. Davies, W. Meng, S. Q. Xie, “Model based Open-Loop Posture Control of a Parallel Ankle Assessment and Rehabilitation”, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2015: Busan, Korea.

22. M. Zhang, A. Nandakumar, and S. Xie, “A Virtual-Reality Tracking Game for Use in Robot-Assisted Ankle Rehabilitation”, 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2014: Senigallia, Italy.

23. M. Zhang, Y. Zhang, T C. Davies, S. Xie., “An in-Vivo Lateral Ankle Ligament Strain Behavior Assessment Technique for Potential Use in Robot-Assisted Therapy”, in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014: Chicago, US.

24. M. Zhang , S. Wang , J. Zhou, “Experimental Research of Dynamic Parameters of Stranded-wire Helical Springs Withstanding Impact Load”, International Conference on Mechanical Engineering and Technology, 2011: London, UK.

25. M. Zhang , S. Wang , J. Zhou, “Development of Impacting Fatigue Test Device of Stranded-wire Helical Springs”, International Conference on Information Technology and Management Engineering, 2011: Wuhan, China.

26. W. Meng, Q. Liu, M. Zhang, Q. Ai, and S. Xie “Compliance adaptation of an intrinsically soft ankle rehabilitation robot driven by pneumatic muscles”, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM): Munich, Germany.

27. W. Meng, Q. Liu, M. Zhang, B. Sheng, S. Q. Xie, “Robot-Assisted Ankle Rehabilitation Training on an Adult with Cerebral Palsy: A Case Report”, the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, 2015: Boston, Massachusetts, USA.

28. J. Cao, S.Q. Xie, M. Zhang, Raj Das, “A New Dynamic Modelling Algorithm for Pneumatic Muscle Actuators”, in 7th International Conference on Intelligent Robotics and Applications, 2014: Guangzhou, China.

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广东省深圳市南山区
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