Hyeonggeun Yun

Canberra, ACT 2601

Bio: Hi all, this is Hyeonggeun Yun, but most of you who know me would know me as Geun, and I prefer to be called by this easier name.

I was born and lived my early childhood in South Korea, then moved to Australia where I have lived in different places, including Gold Coast, Townsville, and Canberra, for the past 10 years.

I am currently completing the final semester of my Bachelor of Advanced Computing (Research and Development) (Honours) at the Australian National University, supervised by Prof. Hanna Suominen and Prof. Amanda Barnard. Upon graduation, I aim to further pursue my research career by undertaking a PhD in my research area of interest.

In my free time, I enjoy playing boardgames, chess, and computer games, and at least try to stay active with some exercise.

Research area of interest: Explainable Artificial Intelligence (XAI) and fair, equitable machine learning, with a particular focus on health-informatics. My research explores frameworks that ensure transparency and interpretability in clinical models while addressing fairness and ethical considerations, aiming to support equitable decision-making in healthcare.

news

Oct 23, 2025	I have finally submitted my Honours thesis: SHIELD!
Sep 19, 2025	I am excited to announce the launch of my personal academic portfolio website! Here, I will mainly share updates on my research, projects, and publications.

selected publications

Machine Learning

Explainable AI

Health Informatics

SHIELD: A SHapley and Information-theory based framework for Equitable Learning via Dissimilar feature grouping

Hyeonggeun Yun, Hanna Suominen^*, and Amanda Barnard^*

Australian National University, Oct 2025

Bib PDF Artefact Poster

@mastersthesis{yun2025SHIELD,
  thesis_type = {Honours Thesis},
  title = {SHIELD: A SHapley and Information-theory based framework for Equitable Learning via Dissimilar feature grouping},
  author = {Yun, Hyeonggeun and Suominen, Hanna and Barnard, Amanda},
  school = {Australian National University},
  numpages = {102},
  year = {2025},
  month = oct,
  dimensions = {false},
  artefact = {https://github.com/geun-yun/SHIELD},
}