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Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Computational modelling of fibre-reinforced concrete and other composites

The purpose of this research is to develop high-end computational tools for the design of fibre-reinforced concrete and other composites. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Computational Automotive Aeroacoustics

Current automotive aerodynamic design is driven by a myriad of requirements including minimum drag, minimum noise, favourable handling, thermal management and vehicle soiling. Our g more...

Supervisor(s): Thornber, Ben (Dr)

XFEM methods for fracture propagation

The purpose of this research is to develop a FEM method for simulation of fracture. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

strategic power system operation and planning to secure energy sustainability

The HDR (higher degree research) student applicants should have background in one of the following areas: 1) power system optimisation and control; 2) electricity market modelling a more...

Supervisor(s): Qiu, Jeremy (Dr)

Retaining Military Personal Model: Adequacy, Robustness and Simplicity

The project will focus on implementing Partial Least Squares Path Modelling techniques to determine the military turnover drivers and their contribution to turnover.  An econom more...

Supervisor(s): Jajo, Nethal (Dr), Peiris, Shelton (Associate Professor)

Turbulent transport of algae in stably stratified rivers: a computational fluid dynamics study

In stably stratified shear flows, turbulent mixing is suppressed by the background stratification. In rivers, these conditions allow buoyant cyanobacteria to float to the surface an more...

Supervisor(s): Williamson, Nicholas (Dr), Armfield, Steven (Professor)

Turbulent mixing in stably stratified flow: a laboratory and field based study

In stably stratified shear flows, turbulent mixing is suppressed by the background stratification. This project will examine this dynamic using laboratory experiments and field meas more...

Supervisor(s): Williamson, Nicholas (Dr), Armfield, Steven (Professor)

Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)