School of
Information Technology and Electrical Engineering

There is an abundance of data associated with many important problems in science, commerce, our environment and man-made systems.

This creates a demand for techniques that can be used to model and understand large and complex datasets. Typical applications include prediction and classification, anomaly detection and support systems to assist in understanding the data. An example current area of application is in the analysis of healthcare systems data in collaboration with healthcare professionals.