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Dr Yanxin Zhang


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Senior Lecturer


Yanxin Zhang received his B.S. degree from School of Electronics & Information at Shanghai Jiao Tong University in 2000 and Ph.D. degree in industrial engineering from Texas Tech University in 2005. He worked as a Post-Doctoral Research Associate in the Department of Kinesiology of the Arizona State University from 2005 to 2006. From 2006 to 2008, he worked as a research associate in the School of Human Movement and Exercise Science of the University of Western Australia. He is currently a senior lecturer from the department of Exercise Sciences of the University of Auckland.

Research | Current

Yanxin Zhang's research is concentrated on the development of biomechanical methods to simulate, evaluate and optimize human motions.

The two major interests are:

  • To apply motion capture techniques to study human movements and use simulation and optimization methods to find movement patterns which can enhance activity performance and reduce injury occurrence.
  • To develop neuron-muscular-skeletal models to investigate muscle coordination during multi-joint limb movements and the underlying neural control mechanisms, which could have potential to create the theoretical basis of developing effective approach for rehabilitation and functional restoration after neuromuscular injury.

He is also interested in developing and applying quantitative methods, especially methods based on modern control theory and fuzzy logic, to study human motor learning and decision making process in sports activities and human-machine interaction.


Teaching | Current

EXERSCI 203 Biomechanics 1

EXERSCI 303 Biomechanics 2

Postgraduate supervision

Yunru Ma (PhD)

Zhongxue Yuan (PhD)

Areas of expertise

biomechanics, rehabilitation engineering, discrete-event system simulation

Selected publications and creative works (Research Outputs)

  • Sheng, B., Xie, S., Tang, L., Deng, C., & Zhang, Y. (2019). An Industrial Robot-based Rehabilitation System for Bilateral Exercises. IEEE Access, 7, 151282-151294. 10.1109/ACCESS.2019.2948162
    Other University of Auckland co-authors: Lihua Tang
  • Sheng, B., Tang, L., Moosman, O. M., Deng, C., Xie, S., & Zhang, Y. (2019). Development of a biological signal-based evaluator for robot-assisted upper-limb rehabilitation: a pilot study. Australasian Physical and Engineering Sciences in Medicine, 42 (3), 789-801. 10.1007/s13246-019-00783-0
    Other University of Auckland co-authors: Lihua Tang
  • Zhang, M., McDaid, A., Zhang, S., Zhang, Y., & Xie, S. Q. (2019). Automated robot-assisted assessment for wrist active ranges of motion. Medical engineering & physics, 71, 98-101. 10.1016/j.medengphy.2019.07.003
  • van Vugt, Y., Stinear, J., Claire Davies, T., & Zhang, Y. (2019). Postural stability during gait for adults with hereditary spastic paraparesis. Journal of biomechanics, 88, 12-17. 10.1016/j.jbiomech.2019.03.001
    Other University of Auckland co-authors: James Stinear
  • Ma, Y., Mithraratne, K., Wilson, N. C., Wang, X., Ma, Y., & Zhang, Y. (2019). The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy. Sensors (Basel, Switzerland), 19 (7).10.3390/s19071660
    Other University of Auckland co-authors: Kumar Mithraratne, Yunru Ma, Nichola Wilson
  • Zhang, Y., & Ma, Y. (2019). Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia. Computers in biology and medicine, 106, 33-39. 10.1016/j.compbiomed.2019.01.009
  • Sheng, B., Tang, L., Xie, S., Deng, C., & Zhang, Y. (2019). Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 233 (2), 219-231. 10.1177/0954411918819115
    Other University of Auckland co-authors: Lihua Tang
  • Ma, Y., Liang, Y., Kang, X., Shao, M., Siemelink, L., & Zhang, Y. (2019). Gait Characteristics of Children with Spastic Cerebral Palsy during Inclined Treadmill Walking under a Virtual Reality Environment. Applied bionics and biomechanics, 201910.1155/2019/8049156


Contact details

Primary office location

BUILDING 907 - Bldg 907
New Zealand

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