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Dr Ya Huang

Senior Lecturer

Ya Huang
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Biography

Dr Ya Huang specialises in nonlinear dynamics, biomechanics and human responses to shock and vibration. He has been a Senior Lecturer in Engineering Dynamics at the University of Portsmouth (UP) since 2009. He leads research into human responses to shock and vibration as part of the Bioneer Research Group and takes the initiative in human-centred autonomy research of future land and marine transports in the UP Future and Emerging Technology Theme and the Intelligent Transport Cluster. Before Portsmouth, he enjoyed 18-month working as part of the the Blast and Impact Dynamics Group at Sheffield University. Dr Huang obtained his doctorate degree in human responses to whole-body vibration in 2008 at the Institute of Sound and Vibration Research (ISVR), University of Southampton.

Research Interests

My main research interest has been, through understanding force and motion experienced by the human body (biomechanics), human factors during whole-body vibration (WBV) and repeated shocks seen in different modes of transport on land, in the air and at sea. These draw a focus on signal processing methods to analyse the dynamic property of soft tissue, the human occupants and low-frequency nonlinear dynamic systems. I am interested in analytical and numerical modelling of the human body in response to abrupt motion, evaluation of WBV exposure, assessment and design of seating systems for multi-axis shocks, and structural vibration isolation with nonlinear motion transmission path. My recent contribution to the noise and vibration community has been a sequel of adaption and implementation of classic signal processing techniques using both linear and nonlinear formulations to reconstruct and interpret multiple channels of nonlinear and cross-correlated force and motion signals during whole-body vibration. These have led to recent investigation into musculoskeletal modelling of lifeboat crews, and autonomous surface vehicles that could potentially assist the search and rescue service. Most recently, I have considered machine vision algorithms to extraction features of oncoming waves for mitigating shocks on fast planning crafts. 

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