The topics of interest for submission include, but are not limited to:
Track 1: Mineral Resources Engineering |
Mining process optimization and modeling Advanced mineral extraction techniques Ore beneficiation and processing technologies Mining machinery and mechanical design Drilling and blasting optimization Underground and open-pit mining technologies Experimental validation of mining processes Simulation of mining operations AI-assisted resource estimation and modeling Innovative mining techniques for improved efficiency |
Track 2: Geotechnical Engineering |
Foundation design for mining structures Underground excavation and support technologies Slope stability analysis and soil stabilization Geotechnical risk assessment Numerical modeling and simulation in geotechnical engineering High-performance construction materials for mining AI and machine learning applications in geotechnical modeling Integrated geotechnical solutions for mining infrastructure Geotechnical monitoring technologies Seismic and environmental hazard analysis in mining |
| Track 3: Geological Exploration and Resource Discovery |
| 3D geological modeling and simulation Remote sensing and geospatial technologies for exploration Geophysical survey methods AI-driven resource estimation Machine learning for geological data analysis Mineral classification and predictive modeling Big data analytics for resource discovery Seismic imaging and exploration risk assessment Integration of geological and geotechnical data Experimental and simulation validation of exploration technologies |
| Track 4: Marine Geotechnical Engineering and Energy Resource Development |
Offshore Wind Turbine Foundations Subsea Pipeline Design Geotechnical Challenges in Offshore Energy Marine Geotechnical Investigations Geothermal Energy Storage Offshore Carbon Sequestration Subsea Infrastructure for Renewable Energy Risk Management in Marine Geotechnical Engineering Seabed Stability Offshore Energy Storage Solutions Marine Energy Resource Exploration Marine Geotechnical Monitoring Underground Energy Storage |
| Track 5: Automation, Artificial Intelligence, and Intelligent Mining Technologies |
Robot-Assisted Excavation Technologies AI-Driven Drilling and Automation Autonomous Mining Vehicles IoT-Based Mining Monitoring Intelligent Safety Management Systems Predictive Maintenance in Mining Real-Time Data Analytics in Mining Deep Learning for Mining Optimization AI Applications in Resource Estimation Smart Sensors in Mining Operations Automation for Mining Efficiency AI-Based Mining Simulations Robotics in Underground Mining Mining Fleet Automation Machine Learning for Mining Safety |