Euijoon Ahn

Theme Lead (AI and ML), Centre for AI and Data Science Innovation

Program Coordinator, Bachelor of Information Technology

Senior Lecturer, Discipline of Information Technology, College of Science and Engineering
James Cook University, Australia.

I obtained my PhD degree in Computer Science (medical image analysis) from The University of Sydney in 2020. I received B. IT degree from The University of Newcastle, Australia, 2009 and M. IT (2014) and MPhil (2016) degree from The University of Sydney.

I have produced top-tier publications in the area of computer vision and medical image computing, including papers in IEEE T-MI, T-BME, JBHI, MedIA, PR, CVPR, AAAI and MICCAI. I am a regular reviewer for IEEE T-PAMI, T-MI, Nature Communications, CVPR, MICCAI and ISBI.

I am always looking for highly-motivated undergraduate (Honours) and postgraduate students (MPhil and PhD). Please send me your CV and transcripts.

Available / Current Projects

• Unsupervised / Self-supervised learning for Image Classification and Object Recognition
• A Deep Learning Framework for Hidden Pattern Discovery
• Telehealth – AI-enabled Remote Patient Monitoring

Keywords: Deep Learning, Machine Learning, Data Science, Medical Image Analysis, Health Informatics, Telehealth

My research focus is on the development of Machine Learning and Deep Learning, Computer Vision and, more specifically, unsupervised and self-supervised deep learning models for biomedical image analysis, for improving image segmentation, retrieval, quantification and classification without relying on labelled data.

I also work at the coalface of translational health technology researches, e.g., health data analytics and telehealth.