Session 10b | Underground Planning: Caving and Stope Optimisation
Stream 2
| Thursday, November 19, 2026 |
| 11:00 AM - 1:05 PM |
| Waterside Room |
Speaker
Junlin Qu
Phd Student
The University of Adelaide
Dynamic Optimization of Integrated Mine Value Chains: A Tractable MILP Framework for Adaptive Decision-Making
11:00 AM - 11:25 AMBiography
Junlin is a PhD student in Mining Engineering at the Adelaide University. His research focuses on integrating real-time ore tracking with dynamic production scheduling optimisation in mining operations, with a strong emphasis on optimising the entire mining value chain. This innovative research is part of the ARC Training Centre for Integrated Operations for Complex Resources.
Junlin has two years of practical experience as a mining engineer at a dolomite open-pit mine, where he worked on optimising mining operations and production parameter design. This hands-on experience deepened his understanding of mine planning and operational efficiency. During his Master's studies, Junlin specialised in mine planning and parameter optimisation, further honing his expertise in production strategies and technological solutions for mining challenges. Outside of research, Junlin enjoys basketball, cycling, swimming, and music.
Mr Shaun Light
Principal Geologist
BHP - Copper South Australia
Geotechnical simulation for block caving: Quantifying rock mass uncertainty to drive long term planning at Carrapateena
11:25 AM - 11:50 AMBiography
A geologist with bachelors degree from the University of Adelaide and 17 years experience in industry. This experience has included working at Broken Hill in early career and then moving to IOCG deposits at Prominent Hill and Carrapateena for the last 14 years. He has exposure to a range of mining techniques including open pit, long hole open stoping, sub level caving and block caving.
Dr Sihe Nhleko
Director
North-West University
A Stochastic Economic Block-Model Framework for Optimising Underground Stope Layouts Under Grade Uncertainty for a Platinum-Group-Element Deposit
11:50 AM - 12:15 PMBiography
Dr Sihe Nhleko is a mining engineer and sustainability advocate whose work sits at the intersection of mining, technology, and societal impact. With more than 16 years of experience in the mining industry, he has built a career around helping organisations design safer, more efficient, and more sustainable mining operations. As Director of the Centre for Sustainable Mining at North-West University, he leads multidisciplinary initiatives that bring together researchers, industry leaders, and policymakers to address some of the mining sector's most pressing challenges. His current work focuses on applying artificial intelligence, data analytics, and geospatial technologies to improve decision-making, resource efficiency, and environmental stewardship across the minerals value chain.
Angus Macrae
Research Assistant
McGill University - Department of Mining, Metals and Materials Engineering
Simultaneous stochastic optimization of underground mining complexes: production and development scheduling with multiple design alternatives under uncertainty
12:15 PM - 12:40 PMBiography
Angus MacRae holds a Bachelor of Applied Science in Mining Engineering and a Bachelor of Computing from Queen's University. He is currently pursuing Master's studies at the McGill COSMO Stochastic Mine Planning Laboratory. He takes a specific interest in developing stochastic schedule optimizers with exact and heuristic methods. His research has focused on implementing a global optimization framework to capitalize on interactions between the design and scheduling of stoping operations with respect to both production and development.
Dr Prosper Chimunhu
Sessional Academic | Mining Engineering professional
Curtin University - Western Australian School of Mines(WASM)
Integration of machine learning and mixed-integer programming in underground mine planning
12:40 PM - 1:05 PMBiography
Prosper Chimunhu is a Perth-based mining engineer specialising in medium to long-term underground mine planning and production scheduling. He holds a PhD in Mining and Metallurgical Engineering from Curtin University and currently serves as a sessional academic at the Western Australian School of Mines (WASM), Curtin University.
Since 2004, Prosper has held operational and technical roles spanning drill and blast, production engineering, mine planning, and management across operations in Zimbabwe and Australia. His research integrates machine learning with mathematical optimisation - particularly mixed-integer programming frameworks - to enhance input parameter estimation, scheduling robustness, and strategic decision-making in underground mining operations.