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Dr Hamid Zekri

Dr Hamid Zekri

Lecturer

BSc - Sahand University of Technology, 2011

MSc - Sahand University of Technology, 2013

Visiting Research Scholar - UNSW, 2017

PhD - Isfahan University of Technology, 2019

Science
School of Biological, Earth & Environmental Sciences

I am a Research Fellow at UNSW, currently contributing to Program 3 of the Mineral Exploration Cooperative Research Centre (MinEx CRC).

My research focuses on characterising regolith interfaces, collaborating with geological surveys and research organisations to develop workflows for identifying critical cover interfaces using field-based data acquisition techniques. I am also involved in Environmental Geochemistry studies in New South Wales.

During my PhD, I investigated geochemical and mineralogical signatures associated with blind lead-zinc deposits within the regolith. My expertise spans exploration geochemistry, hyperspectral science, and the application of Machine Learning techniques in mineral exploration.
E-mail
h.zekri@unsw.edu.au
Location
Room 201, D26 Biological Sciences
  • Journal articles | 2025
    Zekri H; Cohen D; Rutherford N; Folkes C; Thomas M, 2025, 'Rapid analysis of drill core data for detection of geological boundaries', Journal of Geochemical Exploration, 269, http://dx.doi.org/10.1016/j.gexplo.2024.107634
    Journal articles | 2023
    Hoseinzade Z; Mokhtari AR; Zekri H, 2023, 'Clay minerals characterization of the Miduk ball mill output through spectral analysis', Ore Geology Reviews, 161, http://dx.doi.org/10.1016/j.oregeorev.2023.105629
    Journal articles | 2019
    Zekri H; Cohen DR; Mokhtari AR; Esmaeili A, 2019, 'Correction to: Geochemical Prospectivity Mapping Through a Feature Extraction–Selection Classification Scheme (Natural Resources Research, (2019), 28, 3, (849-865), 10.1007/s11053-018-9422-3)', Natural Resources Research, 28, pp. 867 - 868, http://dx.doi.org/10.1007/s11053-018-9438-8
    Journal articles | 2019
    Zekri H; Cohen DR; Mokhtari AR; Esmaeili A, 2019, 'Geochemical Prospectivity Mapping Through a Feature Extraction–Selection Classification Scheme', Natural Resources Research, 28, pp. 849 - 865, http://dx.doi.org/10.1007/s11053-018-9422-3
    Journal articles | 2019
    Zekri H; Mokhtari AR; Cohen DR, 2019, 'Geochemical pattern recognition through matrix decomposition', Ore Geology Reviews, 104, pp. 670 - 685, http://dx.doi.org/10.1016/j.oregeorev.2018.11.026
    Journal articles | 2018
    Cohen D; Triantafilis J; Mokhtari A; Zekri H; Gatehouse S, 2018, 'Can geophysics and geochemistry combine to detect mineralisation under transported cover?', ASEG Extended Abstracts, 2018, pp. 1 - 6, http://dx.doi.org/10.1071/aseg2018abt7_3d
    Journal articles | 2018
    Hoseinzade Z; Mokhtari AR; Zekri H, 2018, 'Application of radial basis function in the analysis of irregular geochemical patterns through spectrum-area method', Journal of Geochemical Exploration, 194, pp. 257 - 265, http://dx.doi.org/10.1016/j.gexplo.2018.09.002
    Journal articles | 2016
    Nouri T; Oskouei MM; Zekri H, 2016, 'A Comparison Study of ORASIS and VCA for Mineralogical Unmixing of Hyperspectral Data', Journal of the Indian Society of Remote Sensing, 44, pp. 723 - 733, http://dx.doi.org/10.1007/s12524-015-0546-1
    Journal articles | 2016
    Zekri H; Mokhtari AR; Cohen DR, 2016, 'Application of singular value decomposition (SVD) and semi-discrete decomposition (SDD) techniques in clustering of geochemical data: an environmental study in central Iran', Stochastic Environmental Research and Risk Assessment, 30, pp. 1947 - 1960, http://dx.doi.org/10.1007/s00477-016-1219-5
  • Other | 2025
    Zekri H; Cohen D; Rutherford N; Thomas M, 2025, Near real-time drillhole data analysis using non-destructive mineral exploration tools, http://dx.doi.org/10.5194/egusphere-egu24-1619

PhD thesis grant - Association of Applied Geochemists, Canada

Distinguished Talent - Australian Government's Global Talent Independent Program, 2020

Best National PhD Student in Mineral Exploration - Iranian Society of Economic Geology

Exploration of buried mineral deposits under deep weathered cover.

Implement optimised machine learning algorithms in exploration geochemistry.

Develop a semi-automated workflow for identification of regolith/basement interfaces using field-based data (pXRF, spectrometer, wireline loggings).

 

 

 

My Teaching

Applied Geochemistry 

Mineral Resource Geology