I am a Lecturer at the College of Sciene of EngineeringJames Cook University. Prior to this, I was a postdoctoral research fellow at the Biomedical Multimedia Information Technology (BMIT) groupSchool of Computer Science, The University of Sydney.

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. 

  • CP1401: Problem Solving and Programming I (Level 1; CNS)
  • CP2411: 3D Modelling and Animation (Level 2; TSV)
  • 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.
  • Keywords: Deep Learning, Machine Learning, Data Science, Medical Image Analysis, Health Informatics, Telehealth
  • 2022 to present - Lecturer, James Cook University (Cairns)
  • 2020 to 2022 - Postdoctoral Research Fellow, The University of Sydney (Sydney)
  • 2016 to 2022 - Research Associate, Nepean Blue Mountains Local Health District (Sydney)
  • 2016 to 2020 - Research and Teaching Assistant, The University of Sydney (Sydney)
  • 2010 to 2016 - Consultant, ECNESOFT (Sydney)
  • 2019 to 2020 - Telehealth Technology Innovation Award ($50,000), “DeepVitals for Remote Patient Monitoring – A Non-contact Image-based Blood Pressure via Deep Photoplethysmography Network”, Nepean Blue Mountains Local Health District (Nepean Hospital), NSW, 2019.
  • 2019 - Best Oral Presentation Award ($500), “A Self-Supervised Deep Learning Framework for Plane Identification in Fetal Ultrasound Images”, Annual Nepean Research Day, The University of Sydney Nepean Clinical School, 2019.
  • 2019 - 2019 School of Computer Science Research Students Excellence Prize Award ($5000), The University of Sydney, 2019.
  • 2018 to 2019 - Telehealth Technology Innovation Award ($10,000), “An Analysis and Visualisation of Emergency Department Data using Machine Learning Algorithms”, Nepean Blue Mountains Local Health District (Nepean Hospital), NSW, 2018.
  • 2016 to 2019 - Scholarship, Australian Government Research Training Program Scholarship, 2016-2019.
  • 2016 to 2019 - Scholarship ($17,500), The University of Sydney Merit Awards (Top ranked PhD Candidates).

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers

ResearchOnline@JCU stores 14+ research outputs authored by Dr Euijoon Ahn from 2016 onwards.


Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • Species classification using deep learning signal processing techniques in natural soundscapes (PhD , Secondary Advisor)

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