معرفی
Micah Nehring is a Senior Lecturer at the School of Mechanical and Mining Engineering, The University of Queensland. He leads the High Performance Surface Mining Research Group, focusing on optimizing In-Pit-Crusher-Conveyor (IPCC) systems and advancing mine planning methodologies. His work bridges mathematical programming with practical mining challenges, particularly in ultimate pit limit determination and production scheduling.
Research interests include:
- Mine Planning
- Production Scheduling Optimization
- IPCC Systems Integration
- Cut-off Grade Methodologies
- ESG Risk Incorporation
Recent publications highlight trends in machine learning applications for coal mine roof characterization, electrification of surface mining fleets, and multi-objective optimization for sustainable underground operations. His work often combines mixed integer programming with discrete event simulation to address complex mining scenarios.
Advising spans projects like:
- Forecasting Market Capitalisation via Neural Networks
- Battery Trolley Haulage Systems
- Hydro-Economic Modeling for Water Management
Funding collaborations include Anglo American, NewCrest Mining, and Caterpillar Global Mining, with grants focused on carbon tax impacts, roof displacement prediction, and rock characteristics research.
