Speaker:  Dr Nurassyl Battalgazy, Geoscience Data Analyst, IMDEX

Abstract:  Artificial Intelligence (AI) is transforming industries across the globe and resource estimation is no exception. This seminar will explore how AI can be applied in grade control resource estimation and brownfield exploration. The focus will be about the challenges and opportunities AI presents in these areas and increase understanding of the practical and innovative uses of AI within these critical areas of mining.

Bio:  Nurassyl Battalgazy recently completed his PhD at the Sustainable Minerals Institute, The University of Queensland, specialising in applying machine learning and deep learning in resource estimation. He is currently a Geoscience Data Analyst at IMDEX, working on the BlastDog project. With expertise in resource estimation, structural mapping, and spatial modelling, Nurassyl has contributed to academic research and participated in industry challenges, including the Future Explorers Challenge, where he applied a deep learning framework for mineral targeting. He has published in leading journals and presented at international conferences. His primary area of interest is AI applications.

About JKMRC Friday Seminars 2024

Welcome to the 2024 Series of the JKMRC Friday Seminars.  The list of presentations will aim to cover a range of topics related to the minerals sector from decision making in exploration, new mineral processing technologies, social licence to operate and mine closure.

The JKMRC Friday Seminars will be presented often in person, at the Indooroopilly Mine Site Lecture Theatre, and also as webinar.  Registration for the webinar is required and can be made via the registration link in each seminar overview.

A large number of past webinars can be accessed on the SMI website: https://smi.uq.edu.au/webinars

Previous seminars have been uploaded to YouTube via the following link: https://www.youtube.com/user/smiuq

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Venue

Indooroopilly Mine Site
40 Isles Road
Indooroopilly. Qld
Room: 
Lecture Theatre

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