21 Oct 25

Eastern Hemisphere Webinar, Part 1

UTC

7.00 – 7.10

Christopher Lawley & Jonathan Cloutier

Welcome & Introduction 

7.10 – 7.30

University of Sydney

Decoding Porphyry Prospectivity: A Plate Reconstruction and Machine Learning Approach

7.30 – 7.50

Matt Cracknell

CODES

Time travellers wanted: spatiotemporal mineral prospectivity analysis across the central Andes 

7.50 – 8.10

Katie Peters

Kenex

A commodity-based approach to mineral potential mapping in data rich terraines

8.10 – 8.30

Russell Menezes

RadiXplore

Ghosts in the Machine: How AI Agents and Machine Learning Can Find the Lost Mines of Tomorrow in the Exploration Reports of Yesterday

8.30 – 8.50

Arnaud Fontaine

Arethuse

From litho-structural to gold prospectivity mapping in northern Arabian-Nubian Shield

8.50 – 9.10

Malcom Arahna

Helmholtz Zentrum Dresden ROSENDORF (HZDR)

From Expert Knowledge to Unsupervised Learning: Prospectivity Modelling of Fe-Ti-V Mineralisation in Beja, Portugal 

9.10 – 9.30

Chetan Nathwani

ETH

Classification of porphyry zircon textures using deep learning