
Matthew Cracknell
@geofizznerd
Bridging the gap between geoscience domain experts and computational data analysis. Views expressed here are my own.
ID: 4776775100
http://www.utas.edu.au/profiles/staff/codes/matthew-cracknell 18-01-2016 04:47:10
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No photographic evidence but ... stirring the pot at #RFG2018 with a non-conventional talk on classification of geochemical signals for screening background signals from ore deposits - geodata scientists unite! Mining Value Chain


Matt Ferguson University of Tasmania phd student presenting his poster on clues to the origins of Proterozoic magmas in the SA mineral belts ... nice work!




What a great time to inform our students about our new state of mind- featuring TMVC researchers Mining Value Chain utas.edu.au/a-new-state-of…

Xue Gao from CUG Beijing on the lithospheric architecture of Yidun Terrane Mining Value Chain - lively discussions ensued


Our very own Matthew Cracknell will be chairing a session next week iamg2017.com/cms/wp-content… those in WA- get a ticket! Mining Value Chain

Meeting #FirstQuantumMinerals summarising Mining Value Chain phd stephen kuhn research into classification and clustering of geo exploration data



Paul Hodkiewicz #IAMG2017-future of machines to id patterns, humans for perspective and combo for geo processes-Mining Value Chain doing it already!

Met last week with @Corescan to present new workflows for sulphide identification ARD potential estimation developed by Mining Value Chain




TMVC's Matthew Cracknell talking image texture quantification from Владислав Шурман mineral classifications at IAMG2017 Australian Research Council University of Tasmania x.com/SolveGeo/statu…



Steve Kuhn Mining Value Chain PhD student talking machine learning for greenfields under cover lithology mapping at #AEGC2018


Presenting to a full house at the #AEGC2018 AI/machine learning and geosciences workshop Mining Value Chain



Check out stephen kuhn Matthew Cracknell and Anya M. Reading new paper in GEOPHYSICS library.seg.org/doi/abs/10.119… The first of several papers that will instigate a paradigm shift in quantifiable geological mapping