Program | APCOM 2025

APCOM 2025 Program

The conference program is subject to change at any time, at the discretion of the organising committee.

All times are listed below in AWST (Perth, Australia).

Sunday, August 10, 2025

	Track 1
9:00 AM - 5:00 PM	Workshop 1 \| New Digital Technologies and Risk Management in Strategic Mine Planning

	Track 1
9:00 AM - 5:00 PM	Workshop 1 \| New Digital Technologies and Risk Management in Strategic Mine Planning

	Track 1
9:00 AM - 5:00 PM	Workshop 1 \| New Digital Technologies and Risk Management in Strategic Mine Planning

Monday, August 11, 2025

	Stream 1	Stream 2	Stream 3
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2A: AI 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, University of the Witwatersrand	Session 2B: Data Analytics 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	Session 2C: Mine Planning and Scheduling 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
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3A: Emerging Technologies 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	Session 3B: Investment and Risk Management 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	Session 3C: Mineral processing and plant operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

	Stream 1	Stream 2
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2A: AI 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, University of the Witwatersrand	Session 2B: Data Analytics 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
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3A: Emerging Technologies 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	Session 3B: Investment and Risk Management 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

	Stream 3
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2C: Mine Planning and Scheduling 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
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3C: Mineral processing and plant operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

	Stream 1
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2A: AI 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, University of the Witwatersrand
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3A: Emerging Technologies 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

	Stream 2
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2B: Data Analytics 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
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3B: Investment and Risk Management 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

	Stream 3
7:30 AM - 8:30 AM	Registration and Arrival Networking - Monday
8:30 AM - 10:05 AM	Session 1: Official Conference Opening and Keynotes 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
10:05 AM - 10:35 AM	Morning Tea Break & Exhibition - Monday
Session 2 10:35 AM - 11:55 AM	Session 2C: Mine Planning and Scheduling 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
11:55 AM - 1:00 PM	Lunch Break & Exhibition - Monday
Session 3 1:00 PM - 2:40 PM	Session 3C: Mineral processing and plant operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Monday
3:10 PM - 5:00 PM	Session 4: Keynote and panel discussion 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 MODERATOR: Challenges, impacts and gaps in implementing technology into operations Cuthbert Musingwini, University of the Witwatersrand 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
5:00 PM - 6:30 PM	Welcome Reception

Tuesday, August 12, 2025

	Stream 1	Stream 2	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6A: AI 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	Session 6B: Orebody modelling and resource estimation 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 6C: Mine Planning and Scheduling 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, Universidad Técnica Federico Santa María Towards a system for integrating open-pit mine production scheduling stages Pathy Muke, University of the Witwatersrand, School of Mining Engineering
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7A: Simulations Sponsored By 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, University of Wollongong 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 Ming Qiao, University of Wollongong Mineral processing plant capacity based on geometallurgical block model scheduling Douglas Mazzinghy, UFMG	Session 7B: Sustainable Practices 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 Safety Berm Design: Moving Beyond Rules of Thumb Klaus Thoeni, The University of Newcastle	Session 7C: Mining Operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

	Stream 1	Stream 2
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6A: AI 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	Session 6B: Orebody modelling and resource estimation 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
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7A: Simulations Sponsored By 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, University of Wollongong 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 Ming Qiao, University of Wollongong Mineral processing plant capacity based on geometallurgical block model scheduling Douglas Mazzinghy, UFMG	Session 7B: Sustainable Practices 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 Safety Berm Design: Moving Beyond Rules of Thumb Klaus Thoeni, The University of Newcastle
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6C: Mine Planning and Scheduling 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, Universidad Técnica Federico Santa María Towards a system for integrating open-pit mine production scheduling stages Pathy Muke, University of the Witwatersrand, School of Mining Engineering
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7C: Mining Operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

	Stream 1
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6A: AI 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
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7A: Simulations Sponsored By 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, University of Wollongong 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 Ming Qiao, University of Wollongong Mineral processing plant capacity based on geometallurgical block model scheduling Douglas Mazzinghy, UFMG
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

	Stream 2
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6B: Orebody modelling and resource estimation 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
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7B: Sustainable Practices 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 Safety Berm Design: Moving Beyond Rules of Thumb Klaus Thoeni, The University of Newcastle
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Tuesday
8:30 AM - 10:00 AM	Session 5: Day 2 Conference Opening and Keynotes Day 2 Welcome Tony Tang, Chair, APCOM 2025 KEYNOTE: The Promise and Practice of Digital Intelligence for Mine Productivity - Foundations for Agentic AI Success Ben Cabanas, Amazon Web Services (AWS) KEYNOTE: Title TBC Gustavo Pilger, Dassault Systèmes
9:50 AM - 10:30 AM	Morning Tea Break & Exhibition - Tuesday
Session 6 10:30 AM - 12:10 PM	Session 6C: Mine Planning and Scheduling 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, Universidad Técnica Federico Santa María Towards a system for integrating open-pit mine production scheduling stages Pathy Muke, University of the Witwatersrand, School of Mining Engineering
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Tuesday
Session 7 1:00 PM - 2:40 PM	Session 7C: Mining Operations 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
2:40 PM - 3:10 PM	Afternoon Tea Break & Exhibition - Tuesday
3:10 PM - 5:00 PM	Session 8: Keynote and panel discussion 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? Guy Boggs, CRC Time 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
5:00 PM - 6:30 PM	Networking Hour
7:00 PM - 10:00 PM	Conference Dinner

Wednesday, August 13, 2025

	Stream 1	Stream 2	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10A: Data Analytics 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, University of the Witwatersrand	Session 10B: Geostatistics and Resource Estimation 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	Session 10C: Mine Planning and Scheduling Sponsored By 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, Universidad Técnica Federico Santa María
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11A: Simulations 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	Session 11B: Mining Operations 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)	Session 11C: Mine Planning and Scheduling 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
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

	Stream 1	Stream 2
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10A: Data Analytics 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, University of the Witwatersrand	Session 10B: Geostatistics and Resource Estimation 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
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11A: Simulations 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	Session 11B: Mining Operations 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)
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10C: Mine Planning and Scheduling Sponsored By 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, Universidad Técnica Federico Santa María
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11C: Mine Planning and Scheduling 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
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

	Stream 1
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10A: Data Analytics 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, University of the Witwatersrand
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11A: Simulations 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
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

	Stream 2
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10B: Geostatistics and Resource Estimation 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
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11B: Mining Operations 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)
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

	Stream 3
8:00 AM - 8:30 AM	Registration and Arrival Networking - Wednesday
8:30 AM - 10:00 AM	Session 9: Day 3 Conference Opening and Keynotes 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: Mining the Future: Space-Inspired, Digitally Driven, Remotely Operated Michelle Keegan, Mining and Space
10:00 AM - 10:30 AM	Morning Tea Break & Exhibition - Wednesday
Session 10 10:30 AM - 12:10 PM	Session 10C: Mine Planning and Scheduling Sponsored By 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, Universidad Técnica Federico Santa María
12:10 PM - 1:00 PM	Lunch Break & Exhibition - Wednesday
Session 11 1:00 PM - 2:40 PM	Session 11C: Mine Planning and Scheduling 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
2:40 PM - 3:10 PM	Afternoon Tea Beak & Exhibition - Wednesday
3:10 PM - 4:40 PM	Session 12: Keynote, panel discussion and conference close 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 Kadri Dagdelen, Colorado School of Mines PANEL: Tech-Driven Transformation in Mining Roussos Dimitrakopoulos, McGill University Closing Remarks from Conference Chair Tony Tang, Chair, APCOM 2025

Thursday, August 14, 2025

	Track 1
8:00 AM - 12:00 PM	Tour - Australian Automation and Robotics Precinct (AARP)
1:00 PM - 4:00 PM	Tour - Perth Core Library

	Track 1
8:00 AM - 12:00 PM	Tour - Australian Automation and Robotics Precinct (AARP)
1:00 PM - 4:00 PM	Tour - Perth Core Library

	Track 1
8:00 AM - 12:00 PM	Tour - Australian Automation and Robotics Precinct (AARP)
1:00 PM - 4:00 PM	Tour - Perth Core Library

You need to enable JavaScript to access this site.

Follow these instructions on how to enable JavaScript.

Internet Explorer

Select Tools from the top menu
Choose Internet Options
Click on the Security tab
Click on Custom Level
Scroll down until you see the section labelled Scripting
Under Active Scripting, select Enable and click OK

Google Chrome

Select the menu icon on the browser toolbar
Select Settings
Click the Show advanced settings... link then Content Settings in the Privacy section
Select Allow all sites to run JavaScript (recommended) and click Done

Safari (Mac)

Select Safari from the top menu
Choose Preferences
Choose Security
Select the checkbox next to Enable JavaScript