DoctorMatthew J. Cracknell
(he/him)
Senior Lecturer in Geodata Analytics
Earth Sciences
- Senior Lecturer in Geodata AnalyticsEarth Sciences
- +61 3 6226 2481 (Work)
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 SUPERVISIONNautanen IOCG deposit characterisation18 Nov 2024
- CURRENT DOCTORAL SUPERVISIONMineral geochemistry of IOCG deposits9 Sep 2024
- CURRENT DOCTORAL SUPERVISIONRock characterisation of the PlatReef2 Oct 2023
- CURRENT MASTERS SUPERVISIONMachine Learning and Geostatistical Modelling of Lithological and Hydrothermal Alteration Domains in the Porfido Norte porphyry Copper Deposit, Chile30 Jun 2023
- CURRENT MASTERS SUPERVISIONQuantitative Prediction of Mineralogy, Mineral Chemistry, and Proximity to Ore Body in Porphyry Deposits from Near-infrared Spectral Data31 Dec 2022
- CURRENT DOCTORAL SUPERVISIONMicroinclusions in porphyry Cu deposits21 Nov 2022
- CURRENT DOCTORAL SUPERVISIONGeology, Geochemistry, and Geometallurgy of the GRE46 Epithermal Gold Deposit, Cowal District (NSW)1 Mar 2022
- CURRENT DOCTORAL SUPERVISIONOptimising Remediation of Legacy Mines - Mineralogical controls on long-term waste rock weathering and mine drainage7 Feb 2022
- CURRENT DOCTORAL SUPERVISIONPathways to Mineral Discoveries Through Computer-Based Modelling of Geochemical Data15 Nov 2021
- CURRENT DOCTORAL SUPERVISIONProspectivity analysis of the East Tennant region2 Aug 2021
- COMPLETED MASTERS SUPERVISIONGeological Predictors for Pre-concentration3 Feb 2020 - 16 Dec 2022
- COMPLETED MASTERS SUPERVISIONGeological Controls on Grade by Size Fractionation in Gold Systems3 Jun 2019 - 3 May 2022
- COMPLETED DOCTORAL SUPERVISIONTrace Element Systematics in Whole Rock Analysis of Magmatic-hydrothermal Ore Deposits3 Jun 2019 - 18 Dec 2024
- COMPLETED DOCTORAL SUPERVISIONTectonic and Structural Controls on the Spatio-temporal Distribution of Giant Porphyry Copper Deposits in the Central Andes29 Mar 2019 - 28 Aug 2024
- COMPLETED DOCTORAL SUPERVISIONQuantification of Mineral Textures for Geometallurgical Predictive Modelling19 Nov 2018 - 1 Mar 2024
- COMPLETED DOCTORAL SUPERVISIONGeology, Geochemistry, Geochronology and Exploration Footprints of the Christmas Porphyry Cu-Mo Deposit, Arizona8 Jan 2018 - 18 Dec 2024
- COMPLETED DOCTORAL SUPERVISIONTectonic Evolution of the Early Palaeozoic Lachlan Orogen21 Dec 2017 - 18 Dec 2025
- COMPLETED DOCTORAL SUPERVISIONGeoenvironmental Characterisation of Historic Mine Tailings: A multidisciplinary approach2 Oct 2017 - 14 Dec 2023
- COMPLETED DOCTORAL SUPERVISIONUnsupervised Learning Approaches to Enhance the Value of Datasets from the Monitoring of Mining Induced Seismicity27 Feb 2017 - 26 Aug 2026
- COMPLETED DOCTORAL SUPERVISIONMachine-Assisted Modelling of Lithology and Metasomatism29 Feb 2016 - 17 Dec 2019
- COMPLETED DOCTORAL SUPERVISIONGeoelectric Structure of the Tasmanian Lithosphere from Multi-scale Magnetotelluric Data4 Dec 2015 - 13 Aug 2021
- UNIT LECTURERKEA342 Applied Geophysics1 Jan 2015 - 30 Jun 2021
- COMPLETED DOCTORAL SUPERVISIONGeotechnical and Grain Size Assessment Using Corescan Automated Core Logging and Complementary Microanalytical Techniques12 Nov 2014 - 19 Dec 2018
- COMPLETED DOCTORAL SUPERVISIONMachine Learning for Mineral Exploration: Prediction and quantified uncertainty at multiple exploration stages16 Sep 2014 - 25 Jun 2021