Eun-Jung Holden

Professor, BSc MSc PhD W.Aust.

  • The University of Western Australia (M006), 35 Stirling Highway,

    6009 Perth

    Australia

  • 509 Citations
  • 11 h-Index
1994 …2021
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Personal profile

Biography

Professor Eun-Jung Holden received her BSc, MSc and PhD in computer science from the University of Western Australia.  Her postgraduate and postdoctoral research focused on developing visualisation and automated pattern recognition techniques for hand gestures.  She made a transition to geoscience in 2006, and has been developing advanced data analytics methods and tools to assist the extraction of geological information/knowledge from diverse types of data used by geoscientists, which ranges from regional scale spatial data to drill hole and other mine scale geodata.  She is currently leading the UWA-Rio Tinto Iron Ore data fusion projects which aim to achieve machine-assisted modelling of geology/resource through transformational and interpretive data science solutions

She established and leads the Geodata Algorithms Team at UWA, which effectively spans the boundaries of computational science and geoscience and links academia and industry.  Their research outcomes were disseminated to global end users through diverse technology transfer pathways such commercialisation and public release of software products.  Three suites of geodata analytics algorithms namely CET Grid Analysis and CET Porphyry Detection extensions for Geosoft’s Oasis Montaj; and Image Structure and Interpretation module for Advanced Logic Technology (ALT)’s WellCAD were commercialised in partnership with Geosoft (based in Canada) and ALT (based in Luxembourg).  These products have been sold widely across minerals and oil and gas industries.  Her research team won innovation the UWA Vice Chancellor Award in Impact and Innovation in 2015.

Keywords

  • Resource data analytics
  • Automated pattern recognition
  • Mineral exploration data analysis
  • Geoscientific data mining
  • geodata analytics

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Research Output 1994 2019

hydration
Hydration
Assays
Rocks
assay

Incorporating conceptual and interpretation uncertainty to mineral prospectivity modelling

Burkin, J. N., Lindsay, M. D., Occhipinti, S. A. & Holden, E. J., 29 Mar 2019, (Accepted/In press) In : Geoscience Frontiers.

Research output: Contribution to journalArticle

Open Access
mineral
modeling
mineralization
fuzzy mathematics
mineral deposit
Patient rehabilitation
Learning systems
land cover
Learning algorithms
Bauxite mines
1 Citation (Scopus)
5 Downloads (Pure)

A data mining approach to validating drill hole logging data in Pilbara iron ore exploration

Wedge, D., Lewan, A., Paine, M., Holden, E. J. & Green, T., 1 Jun 2018, In : Economic Geology. 113, 4, p. 961-972 12 p.

Research output: Contribution to journalArticle

Open Access
File
iron ores
data mining
Iron ores
iron ore
Data mining

A Method And System For Validating Logging Data For A Mineral Sample (WO 2018/136998 A1)

Wedge, D., Paine, M., Lewan, A., Holden, E-J. & Green, T., 2018, Patent Cooperation Treaty,

Research output: Patent

Projects 2008 2021

Prizes

Vice Chancellor’s Award in Impact and Innovation

Mike Dentith (Recipient), Eun-Jung Holden (Recipient), Peter Kovesi (Recipient), Jason Wong (Recipient) & Daniel Wedge (Recipient), 2015

Prize