张明明 - 南方科技大学 - 生物医学工程系

个人简介

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）

研究领域

多年来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，特别在柔性可穿戴设备及临床应用方面取得了重要成果

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Bin Zhong†, Wenxin Niu†, Elizabeth Broadbent, Andrew McDaid, Tatia M.C. Lee and M. Zhang*, “Bringing psychological strategies to robot-assisted physiotherapy for enhanced treatment efficacy”, Frontiers in Neuroscience, 2019. 2.Q. Miao, M. Zhang* (Corresponding Author), Andrew McDaid, Yuxin Peng, Sheng Q. Xie, "A robot-assisted bilateral upper limb training strategy with subject-specific workspace: A pilot study", Robotics and Autonomous Systems. (In Press) 3.L. Zhong, F. Li, Y. Peng*, Q. Yang, M. Zhang, J. Wang. “Design and characterization of a T-shaped two-axis force sensor”. Sensor review, 2019. 4. M. Zhang* (Corresponding Author), A. McDaid, S. Zhang, Y. Zhang, Sheng Q. Xie, “Automated objective robot-assisted assessment of wrist active ranges of motion”, Medical Engineering & Physics, 2019. (In Press) 5.D. Xu, M. Zhang* ,H. Xu, J. Fu, X. Li, 1 and S. Q. Xie, “Interactive Compliance Control of a Wrist Rehabilitation Device (WReD) with Enhanced Training Safety”, Journal of Healthcare Engineering, 2019. 6.M. Zhang* , A. McDaid, C. Davies, Sheng Q. Xie, “Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot with Joint-Space Force Distribution”, IEEE Access, 2019. 7: p. 85812 – 85820. 7.Q. Miao, M. Zhang*, J. Cao, S. Q. Xie, "Reviewing High-Level Control Techniques on Robot-Assisted Upper-Limb Rehabilitation", Advanced Robotics, 2018. 32 (24): 1253-1268. 8.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. 9.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. 10.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. 11.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. 12.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. 13.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. 14.Q. Miao, M. Zhang*, S. Xie, “Design and Interaction Control of a New Bilateral Upper Limb Rehabilitation Device (BULReD)”, Journal of Healthcare Engineering, 2017. 15.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. 16.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. 17.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. 18.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. 19.Zhang, et al., “An Assistance-as-Needed Control Paradigm for Robot-Assisted Ankle Rehabilitation”, Rehabilitation Process and Outcome, 2014: p. 15-17. 20.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.