Eun-Jung Holden

Professor, BSc MSc PhD W.Aust.

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

    6009 Perth

    Australia

  • Source: Scopus
  • Calculated using citation counts from Scopus for publications in the UWA Profiles and Research Repository
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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.

Research expertise keywords

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

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