Research interest

Artificial Intelligence

Artificial intelligence and machine learning develop computational methods that learn patterns from data to support classification, detection and prediction. In practical applications, accuracy must be considered alongside latency, resource requirements and the conditions under which a model is evaluated.

The related publications apply learning methods to visual forensics, skin-lesion classification, driver-drowsiness detection, textual anomaly detection and cloud fault management. A recurring theme is the use of specialised models and feature representations for a defined task, with attention to the constraints of the intended computing environment.