Welcome to Country
Matthew McGuire,

Welcome from the Conference Chair
Tony Tang, Chair, APCOM 2025

AusIMM Welcome
Stephen Durkin, CEO, AusIMM

Ministerial Address
Hon David Michael MLA, Minister for Mines and Petroleum, Finance, Electoral Affairs, Goldfields-Esperance, Leader of the House

KEYNOTE: Beyond the Tipping Point: From Mammoths to Agents
Eduardo Coloma, Maptek

KEYNOTE: Holding AI technology to account
Penny Stewart, Petra Data Science

Transforming Mining Operations Through Machinery Automation: A Pathway to Efficiency and Sustainability
Avadh Nagaralawala, TATA Technologies

Triggering a PLC change using a cloud-based machine learning model
Chris Nethercott, Sedgman

LLM-NavAgent: Adaptive Ground Robot Navigation Using Large Language Model-Based AI Agents
Paseka Leeuw, University of the Witwatersrand, School of Mining Engineering

A review of artificial intelligence applications in monitoring slope stability for open pit mines
Milka Madahana, School of mining Engineering, University of the Witwatersrand

Breaking Down Silos: Enhancing Mining Operations through Agile Collaboration and Data-Driven Decision Making
Elisa Elisa, PT. Pamapersada Nusantara

Fuel Efficiency Optimisation of HD785-7 Trucks at Open Pit Coal Mine: An Adaptive, Clustering-Based Approach
Muhammad Fadhil Al Hafiz, PT Pamapersada Nusantara

Transforming Mining Optimisation: From Hours to Minutes with Massively Parallel Serverless Processing
Alex Heggart, Amazon Web Services

Optimization of Horizontal Transport in Underground Mines Using Machine Learning and Data Integration from Safety and SCADA Systems
Artur Skoczylas, KGHM Cuprum Research & Development Centre Ltd

A Mathematical Model for Real-Time Ore Flow Optimisation from Uncertain Resources to Run-of-mine Stockpiles and Processing Plant
Junlin Qu, The University of Adelaide

Comparison of Stochastic vs Deterministic Open Pit Mine Production Schedule Optimisation using Mixed Integer Linear Programming with Conditional Orebody Simulations
Steven Hoerger, Peak View Mine Planning LLC

Short-term grade uncertainty and its impact on operational dig-limit definitions
Gonzalo Nelis, Universidad Técnica Federico Santa María

Application of causal machine learning in mitigating ore dilution for maximum return in mining
Gloria Asamoah, UniSA

From Static Models to Dynamic Solutions: The Future of Resource Modelling
Henry Dillon, Maptek

Improving Underground Mobile Mechanised Mining Productivity with Safety in Mind
Craig Domoney, Maptek

Real-Time Detection of Perimeter Breaches Using High-Precision GPS for Enhanced Safety in High-Risk Dumping Zones in Open Pit Mining
Mochamad Rizki Pratama, PT Pamapersada Nusantara

Spatial Digital Twin of Mining Operations
Paddy Muston, EY

Beyond Grade: Provision of Relevant & Timely Information from Blast and Grade Control holes In Open Cut Operations
Nurassyl Battalgazy, IMDEX Limited

MAFMINE 3.1: Integrating Cost Estimation and ESG Constraints for Enhanced Preliminary Economic Assessment in Mining
Carlos Petter, Federal University of Rio Grande do Sul - UFRGS

Application of Fault Tree Analysis in Mining: A Review of Strategies and Advances for Risk Assessment.
María Ignacia Avilés Brito, Universidad de Concepción

Haul Truck Intelligence System for Effective Decarbonisation
Ali Soofastaei, Cascadia Scientific

Modelling Social Effects of Blasting in Sustainable Mine Planning Using Machine Learning Techniques: A Case Study
Mehri Aghdamigargari, University of Arizona

Reducing a quarry's greenhouse gas emission through air deck implementation
Rudy Heryadi, PT Suma Yogara Sejahtera

Representative measurement using high performance PGNAA to digitalise process feed quality
Henry Kurth, Scantech International Pty Ltd

Separation of fine-grained rutile and zircon by flotation: a study of sensitive flotation chemistry with considerations for operational circuits
George Wren, Talison Lithium

Dynamic on-bench loading location optimisation of explosive trucks for short-term mine planning
Masoud Samaei, WASM: Minerals, Energy and Chemical Engineering

Remote Monitoring of Slurry Pumps in Mining and Mineral Processing: Enhancing Reliability and Performance through Digitalisation
Alan Varghese, Metso

Development of a data-driven operational standard for the comminution process of the Candelaria mining site
René Quezada, Minera Candelaria

KEYNOTE: Rage Against the Machine Learning: Exploring the role of AI and automation and it’s impact on WHS in high risk industry
Cam Stevens, Pocketknife Group

PANEL: Challenges, impacts and gaps in implementing technology into operations
Michelle Keegan, Mining and Space

PANEL: Challenges, impacts and gaps in implementing technology into operations
Ralph Smith, Dassault Systèmes

PANEL: Challenges, impacts and gaps in implementing technology into operations
Cam Stevens, Pocketknife Group

PANEL: Challenges, impacts and gaps in implementing technology into operations
Penny Stewart, Petra Data Science

Conference Day 1 Close
Tony Tang, Chair, APCOM 2025

Day 2 Welcome
Tony Tang, Chair, APCOM 2025

KEYNOTE: Title TBC
Ben Cabanas, Amazon Web Services (AWS)

KEYNOTE: Title TBC
Gustavo Pilger, Dassault Systèmes

Optimization of Mining Machinery Maintenance in Modern Mining Enterprises through Text Mining and Machine Learning Techniques
Artur Skoczylas, KGHM Cuprum Research & Development Centre Ltd

Structurally Controlled Slope Stability Study Using Genetic Algorithm
Greg You, Federation University Australia

Advances in vibration monitoring of mining equipment with deep machine learning methods
Chris Aldrich, Curtin University

Applying artificial intelligence and the cloud to optimise blast designs
Mark Roberts, Maptek

Development of Genetic Algorithm Based Machine Learning Model for Coal Characterization
Amit Kumar Gorai, NIT Rourkela

AI-driven spatial data augmentation: a game changer for geological modelling and resource estimation
Arpit Gole, Maptek

Advanced Multivariable Geological Modeling – Case Study of Orogenic Au Deposit with Multi-Generational Quartz Veins
Miguel Aliaga, Newmont

Optimising Drillhole Spacing using Conditional Simulation at the Invincible Gold Mine, Australia
Stanley Zutah, Gold Fields

Resource estimation of roll front uranium deposits by using traditional and machine learning methods for Nichols Ranch Uranium deposit in Wyoming
Arif Aydar, Colorado School of Mines

Geometallurgical clusters creation in a niobium deposit using dsclus and hierarchical indicator kriging with trend
Fernanda Niquini, UFRGS: Universidade Federal do Rio Grande do Sul

Session Chair
Ernest Baafi, Faculty of Engineering and Information Sciences

Strategic Planning and Sequencing Optimisation for Fully Mobile In-pit Crushing and Conveying (FMIPCC) Systems - A Novel Approach
Yingyi (Jack) Cheng, The University of Queensland

AMC’s Hill of Value®: Modelling sequential decisions to transfer strategy optimization to an operational mine plan.
Timothy Pelech, AMC Consultants

A comparison of methods for determining weights of criteria in multi-criteria decision-making problems in mine planning
Mpeo Mahase, University of the Witwatersrand, School of Mining Engineering

Optimisation of cut-off grade in open-pit mines considering spatial and temporal dimensions
Fabian Manriquez, Departamento de Ingeniería de Minas, Metalurgia y Materiales, Universidad Técnica Federico Santa María, Santiago, Región

Towards a system for integrating open-pit mine production scheduling stages
TINASHE THOLANA, University of the Witwatersrand, School of Mining Engineering

Accelerating Fleet Electrification in Mining to Meet ESG Targets: A Simulation and Operational Analysis Approach
Ajinkya Naik, Dassault Systèmes

Study on the Influence of Surfactants on the Wettability of Coal Dust Based on Molecular Dynamics Simulation
Yi Zhang, Anhui University of Science and Technology

Automated classification of blast induced rock fragmentation in underground sublevel caving mine
Sohan Singh Rajpurohit, Luleå Technical University

CFD Modelling of a Sudden Gas Outburst Event on a Longwall Face and a Development Heading
Ren Ting, University of Wollongong

Mineral processing plant capacity based on geometallurgical block model scheduling
Douglas Mazzinghy, UFMG

Towards Responsible Mining: ESG-Integrated Multi-Objective Optimisation in Sublevel Stoping Production Scheduling
G M Wali Ullah, The University Of Queensland

Multi-criteria selection of a travelling way development method at a case study conventional underground platinum mine
Cuthbert Musingwini, University of the Witwatersrand

Circular Economy in Iron Ore Mining: Least Squares Approach to Kaolinite Estimation of argillaceous waste material
Leandro Oliveira, GoGeostats Consulting and Training

Experimental and Modelling Analysis of the Impact of Surfactant Adsorption on Coal Oxidation and Wettability
Shiju Wang, Anhui University of Science and Technology

Safety Berm Design: Moving Beyond Rules of Thumb
Klaus Thoeni, The University of Newcastle

Fleet Management System in PT Indo Muro Kencana
Heru Utama, Indo Muro Kencana

Incorporating materials supply in strategic mine planning
David Walker, BMA Technical Services

A systematic review of cut-off grade optimisation approaches – application benefits and challenges
Joseph Githiria, University of the Witwatersrand

Analysis of alternatives to the use of diesel fuel in mining trucks
Angelina Anani, The University of Arizona

An Intelligent Decision Support System Framework for Continuous Economic Optimization of Underground Critical Raw Materials Mining Projects
Md Ariful Islam, TU Bergakademie Freiberg

KEYNOTE: Pioneering underground machine automation since 1992: Snapshots of personal Experience and today’s Challenges
Christoph Mueller, MobileTronics

PANEL: Next-Gen Mining: Are we engineering ourselves out of the workforce?
Chris Lane, Australian Automation and Robotics Precinct

PANEL: Next-Gen Mining: Are we Engineering ourselves out of the Workforce?
Yhana Lanwin, Sans Prejudice Solutions

PANEL: Next-Gen Mining: Are we Engineering ourselves out of the Workforce?
James Mackenzie, Maptek

Conference Day 2 Close
Tony Tang, Chair, APCOM 2025

Day 3 Welcome
Tony Tang, Chair, APCOM 2025

KEYNOTE: Integrated Operations for Complex Resources
Peter Dowd, The University of Adelaide

KEYNOTE: From simultaneous stochastic optimization to self-learning mining complexes: Advances and challenges
Roussos Dimitrakopoulos, McGill University

KEYNOTE
Michelle Keegan, Mining and Space

Deep Learning for Predicting Hauling Fleet Production Capacity Under Uncertainties in Open Pit Mines Using Real & Simulated Data
Nicolas Guerin, Eramet

Real-Time Monitoring and Machine Tracking in Large-Scale Underground Mines Using Safety Systems and Machine Learning Techniques
Artur Skoczylas, KGHM Cuprum Research & Development Centre Ltd

Operator Behaviour Learning to Optimize HD785 Productivity by Adopting Modified Game Theory Algorithm
Pebiria Vorenza, PT Pamapersada Nusantara

The effect of social license on the exploitation of mines using machine learning algorithm
Ehsan Moosavi, Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University

Ground Vibration Prediction Using A Machine Learning Approach
Milka Madahana, School of mining Engineering, University of the Witwatersrand

Dynamic Structural Modelling for near real time inputs for Geotechnical risk management and optimisation
Akash Jani, Rio Tinto

Leveraging machine learning for fast and reliable 3D fault modelling
Arpit Gole, Maptek

Adaptive Search Ellipsoid: A new practical algorithm for local anisotropies in mineral resource estimation
Arif Aydar, Colorado School of Mines

Resource Estimation in Domains with Soft Boundaries Utilizing Non-Stationary Estimation
Min Liang, Dassault Systèmes

Enhanced resource domain classification for mineral estimation using geostatistical clustering
Min Liang, Dassault Systèmes

Harnessing artificial intelligence in hard rock room-and-pillar mining design: A mini-review and future perspectives
Nevaid Dzimunya, University of Zimbabwe

Mining project risk analysis of the impact of schedule types of open pit mining on mine value
Rossen Halatchev, Australian Groundwater Environmental and Mining Consultants (AusGEMCO) Pty Ltd

Reconfiguring the Techno-Economic-Environmental Landscape for Low-Grade Ore Extraction: A Strategic Analysis of Stope Leaching Systems
Mphoentle Gadiile, UNIVERSITY OF QUEENSLAND

A Robust Scheduling Framework for Short-term Planning of Underground Mining Operations Using Constraints Programming: A Canadian Case Study
Reza Shahin, polytechnique Montréal

Operational design of ramps in open-pit mines considering switchbacks through the assistance of mathematical optimisation
Fabian Manriquez, Departamento de Ingeniería de Minas, Metalurgia y Materiales, Universidad Técnica Federico Santa María, Santiago, Región

Haulage simulation of open-pit mines with ore IPCC
Nasib Al Habib, University of Alberta

Optimizing Truck Fleet Selection and Sizing in Open-Pit Mining Using Simulation: Analyzing Sustainability Impacts of Fleet Configuration and Truck Failures
Ali Moradi, University of Kentucky

A discrete events simulation approach to evaluating the efficiency and environmental impact of electrifying mining haul trucks
Angelina Anani, The University of Arizona

Long-Term Open-Pit Mine Planning with Quantum Computing: Concepts, Reformulations, and Implementation
Aldo Quelopana, Universidad Católica del Norte

Fuel Consumption Reduction in HD785-7 Dump Trucks at an Open Cut Coal Mining Site: A Data-Driven Approach
Muthia Sukma, PT Pamapersada Nusantara

Mine Operations Management – The path to Digital Connected Mining Operations
Sagar Rahangdale, Dassault Systèmes

Integrating Operational Design and Data Analytics to Maximize Shovel Performance in an Open-Cut Coal Mine
Luciana de Carvalho Maia, Anglo American / UFRGS

Digital Twins for Stockyard Reclamation Optimisation
Shi Zhao, University of Adelaide

Geotechnology Applied to Quality Control in Bauxite Mining in Brazil
Ismael Soares, Norsk Hydro - Mineração Paragominas

Development of a Simulation-Integrated Mine Road Quality Index (MRQI) for Efficient Dispatching Operations in Surface Mines
Sude Topal, Middle East Technical University (METU)

Semi-Automated Fracture Characterization to Optimize Dimension Stone Mining
Gleicon Maior, UFRGS

Multiphysics modelling of In-Place Recovery of Copper at Stope-Scale
Zhihe Wang, Adelaide University

Analysing the Haul Road Design From the Simulation Perspective: Theoretical and Real Improvements
Rodrigo Peroni, Universidade Federal do Rio Grande do Sul

Enhancing Pit Optimization with Direct Block Scheduling (DBS) and the Bienenstock Zuckerberg (BZ) Algorithm: Maximizing NPV and Efficiency
Joyce Chung, Deswik

Optimizing In-Pit Crushing and Conveying Systems for Cost-Effective Open-Pit Mine Scheduling: A Sensitivity Analysis on Material Throughput and Haulage Costs
Alireza Kamrani, University of Alberta

KEYNOTE: AI assisted smart mining in China: achievements and future directions
Shirong Ge, China University of Mining and Technology (Beijing)

PANEL MODERATOR: Tech-Driven Transformation in Mining
Andrea Brickey, South Dakota School of Mines & Technology

PANEL: Tech-Driven Transformation in Mining
Roussos Dimitrakopoulos, McGill University

Closing Remarks from Conference Chair
Tony Tang, Chair, APCOM 2025