Rate My Professor Eun-Jung Holden

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Eun-Jung Holden

University of Melbourne

4.60/5 · 5 reviews
5 Star3
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1 Star0
5.08/20/2025

Knowledgeable and truly inspiring educator.

4.05/21/2025

Fair, constructive, and always motivating.

5.03/31/2025

Challenges students to reach their potential.

4.02/27/2025

Always clear, concise, and insightful.

5.02/4/2025

Great Professor!

About Eun-Jung

Professor Eun-Jung Holden serves as Professor of Digital Innovation in the School of Computing and Information Systems at the University of Melbourne. She earned her BSc, MSc, and PhD in Computer Science from the University of Western Australia (UWA), where she began her academic career as an international student from South Korea in the 1980s and spent 38 years in research and teaching roles. Transitioning to geoscience applications in 2006, she established the Centre for Data-driven Geoscience at UWA, leading multi-disciplinary projects focused on end-user needs. Key collaborations included data fusion initiatives with Rio Tinto Iron Ore and the Blasthole Objective Logging Project, yielding deployable machine learning methods for stratigraphy and material analysis from drill hole data, along with three patent applications. Holden served as Inaugural Director of the UWA Data Institute from 2021 to 2022 and currently holds an Adjunct Senior Research Fellow position in UWA's School of Earth and Oceans.

Holden's research centers on geodata science, artificial intelligence, industrial AI applications, data fusion, and knowledge engineering, with a focus on innovative, trustworthy AI solutions for the resource industry. Her work has garnered over 3,100 citations according to Google Scholar. Notable publications include 'Implicit neural representation for potential field geophysics' (2025), 'Paired Hierarchical VAEs for Image-to-Image Translation and Cross Reconstruction' (2026), 'Automated geological logging from FTIR reflectance spectra utilising geochemical and historical logging constraints' (2024), and 'Anomaly detection in Fourier transform infrared spectroscopy of geological specimens using variational autoencoders' (2023). She has received the Artificial Intelligence in Mining category of the Women in AI Awards Australia and New Zealand (2022), Women in Technology WA Tech [20+] Awards (2019), UWA Vice-Chancellor's Award in Impact and Innovation (2015), and Laric Hawkins Memorial Innovation Award (2013). At the University of Melbourne, she advances actionable AI development and industry collaborations, including with the Geological Surveys of Western Australia and South Australia.


Professional Email: eunjung.holden@unimelb.edu.au
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