معرفی
Euijoon Ahn is a Senior Lecturer in the Department of Information Technology at James Cook University’s College of Science and Engineering. He holds a PhD in Computer Science (Medical Image Analysis) from The University of Sydney (2020), alongside earlier degrees from The University of Sydney and The University of Newcastle. His research focuses on developing machine learning and deep learning models for biomedical applications, particularly unsupervised/self-supervised learning in medical imaging and telehealth. He has authored over 30 peer-reviewed publications in top-tier venues like IEEE T-MI, CVPR, and MICCAI.
Education
- PhD in Computer Science (Medical Image Analysis), The University of Sydney (2016–2020)
- MPhil in Computer Science, The University of Sydney (2014–2016)
- Bachelor of IT, The University of Newcastle (2007–2010)
Research Interests
His work emphasizes translational health technologies, including unsupervised learning for medical image segmentation/classification, telehealth systems for remote patient monitoring, and AI-driven vital sign estimation using facial video analysis. Current projects explore self-supervised frameworks for histopathology, low-dose CT denoising, and ecoacoustic data analysis.
Key Projects
- Unsupervised/self-supervised learning for medical image analysis
- AI-enabled telehealth systems for non-contact vital signs measurement
- LEAVES: Open-source tool for ecoacoustic dataset management
Awards
Recipient of Telehealth Technology Innovation Awards (2018, 2019), Best Oral Presentation (2019), and The University of Sydney’s Research Excellence Prize (2019).
Teaching
Coordinates and lectures courses in Machine Learning (CP1407), Programming II (CP1404), Advanced Data Communications (CP5601), and Operating Systems (CP1409). He also supervises multiple PhD/MPhil students in medical AI and data science.
Labs & Affiliations
Active in James Cook University’s Health Informatics and AI research groups, and collaborates with Nepean Blue Mountains Local Health District on clinical AI projects.
