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Dr Ming Hou

Lecturer

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering and Computer Science

Summary

Ming Hou is fascinated by intriguing phenomena of the physical world. His research focuses on engineering and applied science across a wide range of disciplines.

Journal Article

Force–length relation of skeletal muscles: from sarcomeres to myofibril

Hou, M. (2018). Force–length relation of skeletal muscles: from sarcomeres to myofibril. Biomechanics and Modeling in Mechanobiology, 17(6), 1797-1810. https://doi.org/10.1007/s10237-018-1057-0

Discussion on: "Structural Analysis of the Partial State and Input Observability for Structured Linear Systems. Application to Distributed Systems"

Hou, M. (2009). Discussion on: "Structural Analysis of the Partial State and Input Observability for Structured Linear Systems. Application to Distributed Systems". European journal of control / EUCA, European Control Association, 15(5), 517-518. doi:10.3166/ejc.15.517-522

Estimation of sinusoidal frequencies and amplitudes using adaptive identifier and observer

Hou, M. (2007). Estimation of sinusoidal frequencies and amplitudes using adaptive identifier and observer. IEEE transactions on automatic control, 52(3), 493-499. doi:10.1109/TAC.2006.890389

On natural frequencies and eigenmodes of a linear vibration system

Müller, P. C., & Hou, M. (2007). On natural frequencies and eigenmodes of a linear vibration system. ZAMM, 87(5), 348-351. doi:10.1002/zamm.200610319

Optimization of active muscle force-length models using least squares curve fitting

Hou, M., & Mohammed, G. A. (2015). Optimization of active muscle force-length models using least squares curve fitting. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 63(3), 630-635. https://doi.org/10.1109/TBME.2015.2467169

Postgraduate supervision

Dr Hou welcomes applications in - Modelling and control of dynamic systems - Bio-mechanics with applications in human posture control - Machine learning of nonlinear phenomenon for pattern recognition Completed PhDs - Lam Cheah - Amartya Ganguly - Goran Mohammed