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.
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.
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'.
Our research is focussed on the study and increased understanding of naturally occurring complex systems, particularly spatial systems such as wildfire/bushfire dynamics and the spread of disease among communities and over the landscape.
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 fire and disease.