Research

My work interfaces with many booming areas of computer science research, including deep learning for visual processing and natural language processing, intelligent tutoring systems, medical data mining and augmented reality.

These works are in collaboration with Associate Professor Gustavo Carneiro of the School of Computer Science at the University of Adelaide, who is one of my PhD supervisors. This collaboration has been highly productive in the short space of time we have been working.

NATURAL LANGUAGE PROCESSING:

Lee, H.M. H., Weerasinghe, A., Barnes, J., Oakden-Rayner, L. Gale, W. Carneiro, G., CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees, Accepted for publication in the proceedings of the 20th International Conference on Intelligent Tutoring Systems (ITS2016), to be held in Zagreb, Croatia ,6 – 10 June, 2016 .

This pre-print news post from the School of Computer Science at the University of Adelaide was just published. This interesting project looks to use state of the art natural language processing with recurrent neural networks to create a seamless training and learning environment for radiologists, including a simulated teaching space that reflects real life tasks and a monitoring capability that automatically identifies strengths and weaknesses in a trainees’ real world reporting.

The first paper about this project has been accepted for publication at Intelligent Tutoring Systems 2016, a CORE Rank A conference. A huge achievement for a team of early to mid program computer science undergrads over a Summer holiday!

Work is ongoing during the semester with several students working under the guidance of Associate Professor Gustavo Carneiro and Dr Amali Weerasinghe.

PREDICTIVE MEDICAL IMAGING ANALYSIS:

The focus of my PhD program. This work draws together several major streams of research including deep learning and Radiomics methods. Our first paper is currently under review. Further details will be added when available.

AUGMENTED REALITY:

2016 looks like it will be the year that AR and VR start breaking into the mainstream consciousness. A preliminary project exploring uses of AR in the Radiology workplace is underway, with more details to follow.