PROFILE

Professor Eun-Jung Holden

Started at UWA: 1989

Unearthing new ways to mine data

My passion is to achieve research impact beyond academia, specifically in transforming industry practice in geodata analysis through innovative and advanced data science applications.Professor Eun-Jung Holden

Professor Eun-Jung Holden has leading expertise in data science applied to geoscience. Her research develops advanced machine learning, image analysis and visualisation methods to automate or semi-automate the interpretation of geoscientific data (geodata). Professor Holden’s multi-disciplinary research spans the boundaries of computational science and geoscience, and links academia with industry.

Professor Holden came to UWA as an international student from South Korea in 1985. She was trained and worked as a computer scientist at UWA. Her postgraduate and postdoctoral research focused on developing computer vision and visualisation algorithms for human motion recognition.

In 2006, she made a transition to geoscience at UWA. She established and currently leads the Geodata Algorithms Team that fosters a unique level of multi-disciplinary training and end-user focused research. 

Through their innovative, transformational and interpretive data science solutions for geoscience end users, the team’s research achieved global research impact. Three suites of geodata analytics algorithms were commercialised in partnership with the world’s leading software vendors, namely CET Grid Analysis and CET Porphyry Detection extensions for Geosoft’s Oasis Montaj, in partnership with Geosoft (based in Canada); and Image Structure and Interpretation module for Advanced Logic Technology (ALT)’s WellCAD, in partnership with ALT (based in Luxembourg).

These products have been sold globally across the minerals and oil & gas industries. Further, the team’s research also resulted in two industry driven patent applications on analyzing and integrating drill hole data using deployable machine learning systems.

Professor Holden is currently leading the UWA-Rio Tinto Iron Ore data fusion projects (2018-2021, $3.6m) which aim to achieve machine-assisted modelling of geology/resource through transformational and interpretive data science solutions.

This engagement involves diverse topics including: the development of machine-learning based methods and tools to integrate diverse drillhole data to model stratigraphy, their material compositions and geomechanical proxies for resource evaluation and mining; incorporating advanced machine learning methods to improve certainty in modelling the spatial extent of subsurface geological interfaces; and developing image analysis and visualisation methods and tools to assist the interpretation of large volumes of 2D and 3D data from satellites and drones for planning and geological mapping.

Women in Technology WA (WiTWA) Tech [20+] Awards, 2019

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The UWA Vice Chancellor’s Award in Impact and Innovation, 2015

Laric Hawkins Memorial Innovation Award - the 23rd International Geophysics Conference and Exhibition, 2013

Commendation in the Innovation Category of the WA Information Technology & Telecommunications Award, 2004

Funding and Research Impact

Funding

The total amount of research income is over $8.8 million which includes $8.5 million from industry, mostly since 2008. Some major past and ongoing projects are:

2018-2021


UWA-RTIO Data Fusion Projects

  • Holden, E.J., Wedge D. 2018-2021, ‘UWA-RTIO Data Fusion Projects’, Technological Resources Pty Ltd. (Rio Tinto)

2017


UWA | RTIO Auto Validate Interp Mine Geology

  • Wedge D., Holden, E.J., 2017, ‘UWA | RTIO Auto Validate Interp Mine Geology’, Technological Resources Pty Ltd. (Rio Tinto)

2016


Text Mining of Geological Reports: A Preliminary Study

  • Holden, E.J., Horrocks, T., Wedge, D., Liu, W., 2016, ‘Text Mining of Geological Reports: A Preliminary Study’, Geological Survey of Western Australia


2014-2017


 Geological interpretation support tools for drill hole data using machine learning techniques
  • Holden, E.J., Wedge, D., 2014-2017, 'Geological interpretation support tools for drill hole data using machine learning techniques', Technological Resources Pty Ltd. (Rio Tinto)

2013-2017


Second Generation Regional Targeting Products: Data Generation and Integration

  • Aitken, A., Dentith, M., Holden, E.J., McCuaig, C., 2013-2017, Second Generation Regional Targeting Products: Data Generation and Integration, Geological Survey of Western Australia

2013


Integrated Visualisation of Large Volumes of GSWA Data: Groundwork for the Integrated Exploration Platform

  • Holden E.J., Kovesi, P., Wong, J., Wedge, D., McCuaig C, Hronsky, J., 2013, Integrated Visualisation of Large Volumes of GSWA Data: Groundwork for the Integrated Exploration Platform, Geological Survey of Western Australia

2010-2013


Development of Software for the Geotechnical Interpretation of Televiewer Imagery

  • Holden, E.J., Dentith, M.C., Spadaccini, N., 2010-2013, Development of Software for the Geotechnical Interpretation of Televiewer Imagery, Research Grant from Rio Tinto
Publications

Professor Holden has 62 referred publications (journal papers, refereed conference papers and patent publications) across the disciplines of computer science, computational geoscience, geophysics, remote sensing and geology, and one local government report. She collaborated and co-authored with researchers from a wide range of disciplines from academia and industry, locally and internationally. 

 

Commercialisation

Her research outcomes are also disseminated as software products:

Public Domain Software Products:

 

Patents
  • UWA & TRPL joint patent, Submitted in 2018 and Approved in 2019, “A Method And System For Validating Logging Data For A Mineral Sample” (WO 2018/136998 A1) by Wedge, D., Paine, M., Lewan, A., Holden, E-J. & Green, T.
  • UWA &TRPL Australian provisional patent application (AU2018904128), 2019, “A Method And System For Sample Classification” by Wedge, D, Hartley, O., McMickan, A., Green, T. and Holden, E-J

Highlights

 

  • Leading the development of the Auslan Tuition System that helps people learning Australian deaf sign language called Auslan. This system won Commendation in the Innovation category of the 14th Western Australian Information Technology and Telecommunications Awards (WAITTA) in 2004.
  • Successful commercialization of three software products (2010, 2011, 2015 - ongoing) in partnership with leading software vendors, which had significant uptake by global resource industry.
  • Establishing and growing the Geodata Algorithms Team that is highly effective in industry engagement and tool delivery, as well as fostering multi-disciplinary training for students and staff.
  • Fostering long-term and growing the scale of research partnership with industry by delivering a clear value to industry partners

External Positions

 

Board and Professional Memberships
  • Science Advisory Board member of Advanced Mining Technology Centre (AMTC) in Universidad de Chile, Santiago, Chile
  • Associate Editor
    • IEEE Geoscience & Remote Sensing Letters (IF 2.892)
  • Guest Editor
    • Ore Geology Reviews, Special Issue on Machine Learning & Ore Geology, Elsevier (IF 3.868)
  • Senior member, IEEE (Institute of Electrical and Electronics Engineers)
  • Member, ASEG (Australian Society of Exploration Geophysicists); Australasian Institute of Mining and Metallurgy (AusIMM)
Community Events:
  • Judging panel member for Frank Arnott - Next Generation Explorers Award, 2021
  • Headline judging panel member for ExploreSA Gawler Challenge, 2020
  • Technical judging panel member for Oz Minerals Explorer Challenge, 2019
  • Speaker for Raising the Bar (RTB), Perth, October 2019
  • Panelist on Innovative Exploration Methods at the International Mining and Resources Conference (IMARC), October 2019
  • Panelist for the AusIMM Thought Leaders Series, Perth, attended by 130 mining professionals, July 2019
  • Panelist for Women in Data Science (WiDS) WA, March, 2019
  • Keynote speaker (and geodata analytics workshop) for the11th Fennoscandian Exploration and Mining, Finland, 2017
  • Panelist for The Future of Data Science, UWA Research Week Event, September, 2016

 

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