Computation Modelling refers to the areas of research that require computer simulation of complex systems. 

Results are produced through varying the input parameters and observing the changes in outcome.

Current projects

• Computational Epidemiology
• Crowd Modelling
• Simulation, modelling and animation tools for real-time prediction of fire development
• RNA pseudoknots
• Inter- and Intra-Cellular Communication Networks
• Regulation of the chemo-mechanical environment of tissues to clinical applications. 

Research groups

Bioinformatics

Bioinformatics is broadly defined as the application of computers for solving information problems in the life sciences. It is commonly associated with the creation and maintenance of databases for the vast amount of information coming from laboratories, for example nucleic acid and protein sequence data. 

Computational Biology

The Engineering Computational Biology group use mathematical and computational methods to understand biological systems. We enjoy working on a wide range of projects and pride ourselves on speaking 'biology'.

Complex Systems 

Our research is focussed on the study and increased understanding of naturally occurring complex systems, particularly spatial systems such as traffic networks, bushfire dynamics and spread of infections.

Intended outcomes are models and simulation technology allowing us to predict future behaviour of such systems: in real-time, allow better management of evolving systems such as traffic and fire; non real-time allows better design of road systems to minimise congestion and urban spaces for safe egress, and development of fire and infection control strategies.