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Session 7B - AI

Stream 2
Tuesday, September 3, 2024
1:20 PM - 2:50 PM

Speaker

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Mr Dibyayan Patra
Phd Fellow
University of New South Wales, Sydney

A Deep Learning Based Approach for Roof Bolt Recognition in 3D Point Cloud of Underground Mines

1:20 PM - 1:30 PM

Biography

Dibyayan Patra is a PhD Fellow at the University of New South Wales (UNSW), Sydney, Australia, working under the supervision of Associate Professor Simit Raval at the Laboratory for Imaging of the Mine Environment (LIME). He received his Bachelor of Technology degree in Electronics and Communication Engineering with a specialization in Internet of Things and Sensors from Vellore Institute of Technology, Vellore, India. Following his graduation, he worked as a Systems Engineer at Tata Consultancy Services in Kolkata, India, for a year. His current research focuses on utilizing cutting-edge technologies like laser scanning and machine learning, to enhance safety and automation in underground mining operations.
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Mr Matt Cutbush
Product Manager - Digital
Sandvik Rock Processing

Using Machine Learning to make smarter screening media maintenance decisions

1:30 PM - 1:40 PM

Biography

Matthew has worked for OEM's in the mining industry for over 20 years. He started work at Schenck Process as a Service Engineer and held various positions within the Aftermarkets team, before moving into a Digital Sales and Service role. Matthew started the Digital team within Australia a quickly implemented various digital products, such as remote support and guided workflows to monitoring customers condition monitoring data. Following the purchase of the Mining division of Schenck Process by Sandvik Rock Processing, Matthew moved into a Product Manager role setting strategic direction and development of digital products.
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Prof Murat Karakus
Professor
The University of Adelaide

Predictive Spatial Modeling of Rock Mechanical Properties using Machine Learning Techniques

1:40 PM - 1:50 PM

Biography

Murat Karakus holds a BSc in Mining Engineering (1991) from Hacettepe University (Turkey) and a PhD degree in Mining and Minerals Engineering (2000) from the University of Leeds, UK. He is an Associate Professor at the School of Chemical Engineering, the University of Adelaide (UofA) and a Chair Professor at the China University of Geosciences, Wuhan. His research focuses on computational and experimental rock mechanics and rock fracture mechanics. Prof. Karakus was named the top national researcher in Mining and Minerals Resources in Australia in 2023 and is currently leading a multidisciplinary research group bringing together experts from the Australian Institute of Machine Learning, Mining, Chemical, and Civil-Structural Engineering. Throughout his career, he has served in various leadership roles at the University of Adelaide, including Associate Dean of International, Research Group Leader, and Chair of the Laboratory and Workshop Committee. Prof. Karakus is a member of the Int. Society of Rock Mechanics (ISRM) Commission on Rockburst, the ISRM Commission of Deep Mining, and the Int. Committee of Mine Safety Science and Engineering (ICMSSE).
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Dr Rian Dutch
Head Of Applied Science
Datarock

Machine learning integration of hyperspectral and geophysical data for improved exploration targeting and OBK

1:50 PM - 2:00 PM

Biography

Rian is a geologist with more than 15 years years experience in government and the minerals exploration space. Rian has a PhD from the University of Adelaide and has worked in various roles within the Geological Survey of South Australia undertaking regional geological studies, data integration and mineral prospectivity. Rian is currently the Head of the Applied Science team at Datarock, a geoscience focused data science and machine learning consultancy helping the minerals sector solve problems with data.
Mr Zexin Yu
Phd Student
University of New South Wales

Lithology Classification through Machine Learning Models: Assessing and Enhancing the Generalizability of Single Boreholes in Northwestern Bowen Basin, Australia

2:00 PM - 2:10 PM

Biography

Zexin Yu is a PhD candidate at the School of Minerals and Energy Resources Engineering, University of New South Wales (UNSW), Australia. He holds B.E. degree in Structural Engineering from Fuzhou University, China and M.E. degrees in Civil Engineering from UNSW, Australia. His research interests include (1) data driven approaches based on geophysical logging data; (2) gas content evaluation for underground coal mines; (3) interpretation of geophysical logs obtained in coal mining activities. He has also participated in industry-sponsored projects.
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Mr Pilot Mugebe
Phd Research Student
University of Queensland

Artificial Intelligence (AI)-based predicting influence of technological innovation on stock price of iron ore mining companies

2:10 PM - 2:20 PM

Biography

PhD student at The University of Queensland with research focus on mining technology implementation and financial impact. A Mining Engineer with over 29 years’ experience in mine production management, technical services and mine planning, mining technology scoping and implementation, equipment maintenance, contracts management, project management, underground backfilling, and mining consultancy services. Experience covers both hard-rock and coal in both underground and open pit mining. Worked in Zimbabwe, Malawi, South Africa, and Australia. Holds degrees in BSc. Mining Engineering (University of Zimbabwe), Master of Mining Engineering (UNSW), Master of Business Administration (Central Queensland University), and a Diploma of Share Trading and Investment (WealthWithin - Australia). Current research focus area is Industry 4.0 innovations impact on company value.
Mr Brad Gyngell
Ceo
Hevi

Practical Applications of Large Language Models in Mining

2:20 PM - 2:30 PM

Biography

I'm a mining engineer with experience launching and scaling global technology businesses. I spent the first phase of my career as an engineer, optimising drill and blast activities for mines around the world. In 2016, I saw an opportunity to apply drone data and artificial intelligence to improve operations on site, so I launched the software company Strayos in the US and scaled it around the world. I then completed an MBA and spent several years at Boston Consulting Group (BCG) focusing on technology and mining. Most recently, I've once again taken the opportunity to move into the software world and build Hevi, an AI platform that helps mining and construction companies to better manage contracts.
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