DoctorMatthew J. Cracknell

(he/him)

Senior Lecturer in Geodata Analytics

Earth Sciences

  • Senior Lecturer in Geodata Analytics
    Earth Sciences

SUPERVISION AND TEACHING SUMMARy

My teaching reflects the dual focus of my research, combining data-driven methods with a strong grounding in geological understanding of mineral systems, while also engaging with place-based environmental and sustainability education. I emphasise the integration of theory and application by linking mineral system concepts with real exploration datasets and field-based observations, ensuring students develop both conceptual understanding and practical capability.

 

A central component of my approach is building quantitative skills, including machine learning, geospatial analysis, and data interpretation, while reinforcing geological reasoning to understand the processes that control ore formation. At the same time, my teaching incorporates Tasmania’s unique geological and environmental context, using place-based learning to explore and understand historical and current mining practices, landscape processes, and human–environment interactions. I also contribute to interdisciplinary teaching through the Diploma of Sustainable Living, supporting students to connect geoscience with broader sustainability challenges. Across all activities, I prioritise industry and societal relevance, preparing students for modern careers that require integration of domain expertise, data science, and sustainability awareness.

 

Through this approach, students develop the ability to analyse and integrate complex geoscience datasets, apply machine learning to mineral exploration, geometallurgical and environmental problems, and interpret ore-forming processes in a rigorous and quantitative way. They also gain experience in field-based observation and environmental assessment, allowing them to connect data-driven analysis with real-world geological and environmental systems. Importantly, students learn to evaluate uncertainty and make informed decisions, equipping them to work effectively across the boundaries between traditional geology, data science, and environmental management.

 

My educational aim is to train graduates who can combine exploration targeting with mineral systems thinking, apply advanced analytical methods in real-world contexts, and contribute to more effective, sustainable, and socially responsible resource use. More broadly, I aim to bridge the gap between traditional geological practice and modern data-driven geoscience, while also fostering an understanding of environmental stewardship and sustainability that is grounded in place-based experience and interdisciplinary learning.

SUPERVISION & TEACHING

  • CURRENT DOCTORAL SUPERVISION
    Nautanen IOCG deposit characterisation
    18 Nov 2024
  • CURRENT DOCTORAL SUPERVISION
    Mineral geochemistry of IOCG deposits
    9 Sep 2024
  • CURRENT DOCTORAL SUPERVISION
    Rock characterisation of the PlatReef
    2 Oct 2023
  • CURRENT MASTERS SUPERVISION
    Machine Learning and Geostatistical Modelling of Lithological and Hydrothermal Alteration Domains in the Porfido Norte porphyry Copper Deposit, Chile
    30 Jun 2023
  • CURRENT MASTERS SUPERVISION
    Quantitative Prediction of Mineralogy, Mineral Chemistry, and Proximity to Ore Body in Porphyry Deposits from Near-infrared Spectral Data
    31 Dec 2022
  • CURRENT DOCTORAL SUPERVISION
    Microinclusions in porphyry Cu deposits
    21 Nov 2022
  • CURRENT DOCTORAL SUPERVISION
    Geology, Geochemistry, and Geometallurgy of the GRE46 Epithermal Gold Deposit, Cowal District (NSW)
    1 Mar 2022
  • CURRENT DOCTORAL SUPERVISION
    Optimising Remediation of Legacy Mines - Mineralogical controls on long-term waste rock weathering and mine drainage
    7 Feb 2022
  • CURRENT DOCTORAL SUPERVISION
    Pathways to Mineral Discoveries Through Computer-Based Modelling of Geochemical Data
    15 Nov 2021
  • CURRENT DOCTORAL SUPERVISION
    Prospectivity analysis of the East Tennant region
    2 Aug 2021
  • UNIT LECTURER
    1 Jul 2021
    This unit develops your understanding of the geological processes that shape the Earth, and the tools and approaches used to map and interpret the geology of the Earth’s crust and mantle. It is delivered in intensive block mode over three weeks in the Spring semester. The block delivery is centred on a five-day field excursion to the north coast of Tasmania in the second week. This field trip further develops practical skills in documenting and interpreting geological outcrops, and in using field data to construct geological maps and cross-sections, and to infer geological settings and processes. The unit provides a strong grounding in structural geology, igneous and metamorphic petrology, and use of the petrographic microscope. It also includes intermediate-level introductions to geophysics and geochronology and explains how these approaches inform understanding of the structure, composition, and processes operating deep within the Earth. Overall, the unit provides the theoretical knowledge and practical skills needed to recognise and interpret deep Earth materials and their geological histories. KEA209 is a compulsory unit in the Earth Sciences major and a prerequisite for all 300-level Earth Sciences units.
  • COMPLETED MASTERS SUPERVISION
    Geological Predictors for Pre-concentration
    3 Feb 2020 - 16 Dec 2022
    Karla Alejandra Morales Leiva
  • COMPLETED MASTERS SUPERVISION
    Geological Controls on Grade by Size Fractionation in Gold Systems
    3 Jun 2019 - 3 May 2022
    Nathaly Estefania Guerrero Ramirez
  • COMPLETED DOCTORAL SUPERVISION
    Trace Element Systematics in Whole Rock Analysis of Magmatic-hydrothermal Ore Deposits
    3 Jun 2019 - 18 Dec 2024
    Zebedee Zivkovic
  • COMPLETED DOCTORAL SUPERVISION
    Tectonic and Structural Controls on the Spatio-temporal Distribution of Giant Porphyry Copper Deposits in the Central Andes
    29 Mar 2019 - 28 Aug 2024
    Alexander Farrar
  • COMPLETED DOCTORAL SUPERVISION
    Quantification of Mineral Textures for Geometallurgical Predictive Modelling
    19 Nov 2018 - 1 Mar 2024
    Javier Nicolas Merrill Cifuentes
  • COMPLETED DOCTORAL SUPERVISION
    Geology, Geochemistry, Geochronology and Exploration Footprints of the Christmas Porphyry Cu-Mo Deposit, Arizona
    8 Jan 2018 - 18 Dec 2024
    Emily Susan Josephine Smyk
  • COMPLETED DOCTORAL SUPERVISION
    Tectonic Evolution of the Early Palaeozoic Lachlan Orogen
    21 Dec 2017 - 18 Dec 2025
    Thomas Alexander Schaap
  • COMPLETED DOCTORAL SUPERVISION
    Geoenvironmental Characterisation of Historic Mine Tailings: A multidisciplinary approach
    2 Oct 2017 - 14 Dec 2023
    Sibele Cristina Do Nascimento
  • COMPLETED DOCTORAL SUPERVISION
    Unsupervised Learning Approaches to Enhance the Value of Datasets from the Monitoring of Mining Induced Seismicity
    27 Feb 2017 - 26 Aug 2026
    Stephen Meyer
  • COMPLETED DOCTORAL SUPERVISION
    Machine-Assisted Modelling of Lithology and Metasomatism
    29 Feb 2016 - 17 Dec 2019
    Shawn Bruce Hood
  • COMPLETED DOCTORAL SUPERVISION
    Geoelectric Structure of the Tasmanian Lithosphere from Multi-scale Magnetotelluric Data
    4 Dec 2015 - 13 Aug 2021
    Thomas Charles Hughes Ostersen
  • UNIT LECTURER
    KEA342 Applied Geophysics
    1 Jan 2015 - 30 Jun 2021
    KEA342 aims to provide a thorough understanding of the theory, principles and practice of applied geophysics including exploraton geophysics. Unit material is presented with an emphasis on the practical aspects of each topic. Mathematical details are presented where they provide an important insight into a physical phenomena or technique. The unit focusses on potential field techniques (magnetics and gravity), seismic theory, seismic reflection data acquisition, electrical and electromagnetic geophysical methods.
  • COMPLETED DOCTORAL SUPERVISION
    Geotechnical and Grain Size Assessment Using Corescan Automated Core Logging and Complementary Microanalytical Techniques
    12 Nov 2014 - 19 Dec 2018
    Cassady Lee Harraden
  • COMPLETED DOCTORAL SUPERVISION
    Machine Learning for Mineral Exploration: Prediction and quantified uncertainty at multiple exploration stages
    16 Sep 2014 - 25 Jun 2021
    Stephen Daniel Kuhn