Advanced Technologies in Mineral Resources

Session Scope

This session explores the rapidly evolving role of advanced technologies, data-driven modeling, and intelligent systems in mineral exploration and mining. As the mineral resources sector undergoes digital transformation, the integration of artificial intelligence (AI), machine learning, and hybrid modeling approaches has become essential to improving efficiency, safety, and sustainability throughout the mining value chain.
The session aims to bring together interdisciplinary research and practical applications spanning intelligent mining systems, data analytics, and advanced geoscientific technologies. It emphasizes the transition from conventional engineering approaches to smart, adaptive, and predictive systems that enable real-time decision-making and optimized resource management.
Key areas of focus include AI-driven equipment diagnostics, predictive maintenance, and intelligent control systems, as well as advanced data analytics techniques such as deep learning, big data processing, and multi-sensor data fusion. The session also highlights the application of integrated modeling frameworks that combine physics-based and data-driven approaches to complex mining and geoscientific systems.
In addition, the session will address advanced technologies in mineral exploration, including AI-assisted geological interpretation, ore grade estimation, and geotechnical analysis. By bridging engineering, data science, and geoscience, the session promotes innovative solutions to develop intelligent, efficient, and sustainable mining systems.
The session is structured into dedicated sub-sessions that reflect key technological domains, providing a comprehensive platform for academic exchange, industry engagement, and future-oriented innovation in mineral resource systems.