Mining and explosives engineering faculty members conduct interdisciplinary research to develop novel techniques and tools that facilitate automation and digitalization in mining. This research includes cyber-physical systems in mining, communications, data analytics, machine learning and artificial intelligence, kinematics and dynamics for robotic control, and human factors (miner-robot interactions).
Mineral Processing, Critical and Strategic Minerals, Surface Chemistry, Tailing Management, Nanotechnology, Rare Earth Extraction, Separation Science, Oil Sand Processing, Artificial Intelligence and Machine Learning
Professor and Robert H. Quenon Endowed Chair
Mine Automation and Intelligent Mining Systems, Formation Excavation Engineering, Synthetic and Renewable Energy, Machine Dynamics and Fatigue Modeling, Minerals and Energy Economics, and Safety, Health, and Hazards Engineering
Robert H. Quenon Associate Professor
Environmental Considerations of Blasting, Fragmentation Prediction, Biological Effects of Shock Exposure, Explosibility of Dusts
Computational Mechanics; Numerical Statistical, and Probabilistic Modeling in Rock Mechanics, Rock Slope Stability and Stability of Underground Excavations, Application of Numerical Modeling in Underground and Surface Mining, Reservoir Geomechanics (Wellbore Stability, Hydraulic Fracturing, and Sane Production), Geomechanical Aspects of CO2 Sequestration, Geothermal Energy Recovery, Assessment of Nuclear Waste Disposal Sites, Pore Pressure and In-Situ Stress Analysis, Compaction and Subsidence Modeling, Artificial Intelligence (Artificial Neural Networks, Fuzzy Logic, and Genetic-Algorithms)