Mr Xiaoming Wang
Xiaoming attained a Bachelor of Engineering with Honours in Biomedical Engineering from the University of Auckland. During his undergraduate study, he was involved in projects with various research groups around the Auckland Bioengineering Institute, including:
- Microfluidic channel design, fabrication, and modelling for studies in cell growth and behaviour when subject to fluid stress;
- Development of a virtual bacterial gene expression model in OpenCell (CellML-based modelling environment), used as a systems biology teaching aid at Massachusetts Institute of Technology;
- Mathematical modelling of the autoregulation of blood flow in human cerebral blood circulation.
After graduation, Xiaoming worked briefly as a research assistant in the Institute’s Gastrointestinal System group. During this time, he was involved in the design of a printed circuit board which measured gastric slow waves in porcine and human subjects. He then went on to commence his PhD in the Musculoskeletal Modelling Group.
Research | Current
Multi-scale modelling in the hip
Multi-scale models are extremely useful descriptions of a system which spans multiple orders of magnitude in dimensions, as a single computational model which spans a wide range of dimensional magnitudes is currently not feasible with limited computing resources. Our interest is in developing a model which couples finite element modelling (FEM) with the construction of surrogate statistical models using the method of partial least squares regression (PLSR) to allow the rapid and accurate prediction of simulation results.
The hip is a region of the human body which is of utmost clinical importance due to its vital role in maintaining static posture and allowing dynamic locomotion. The region’s proneness to disease and failure fuels our interest in the application of our multi-scale model development to the hip. The model takes a mechanobiological perspective of the hip region and aims to link the phenomena of remodelling and fracture propagation in bone. To achieve this, we will develop sub-models at different spatial scales. Specifically, populations of micro-level bone remodelling simulations are simulated via FEM under known loading conditions, and PLSR is used to predict simulation results under other, unknown loading conditions passed down from the meso- and macro-scales, including loading conditions from macro-level hip fracture simulations.
- Dr Justin Fernandez (Auckland Bioengineering Institute and Department of Engineering Science)
- Dr Raj Das (Mechanical Engineering)
Selected publications and creative works (Research Outputs)
- Wang, X., Thomas, C., Clement, J., Das, R., Davies, H., & Fernandez, J. (2016). A mechanostatistical approach to cortical bone remodelling: an equine model. Biomechanics and Modeling in Mechanobiology, 15 (1), 29-42. 10.1007/s10237-015-0669-x
Other University of Auckland co-authors: Justin Fernandez, Raj Das