My research focuses on using operations research and advanced analytical methods such as mathematical modeling, optimization, discrete event/continuous simulation, and intelligent agents to arrive optimal or near-optimal solutions to complex, large-scale mine planning/operations decision-making problems.
Development of new optimization techniques and uncertainty quantification for mine planning and design plays a vital role in reducing environmental footprint and financial risk of mining projects. Deviations from optimal plans in mega mining projects will result in huge financial losses, delayed reclamation, and resource sterilization.
My research interests focuses on two areas of research with the goal of reducing the mining environmental impact.
Risk Based Mine Planning and Mineral Processing Design Integration, using:
Simulation Optimization of Mining Systems, using:
- Discrete optimization
- Stochastic programming
- Multi-objective optimization
- Intelligent multi-agent systems
- Heuristics and meta-heuristics
- Discrete event simulation
- Continuous simulation
- Stochastic modeling
Research Currently in Progress
My research activities are conducted through the industrial research consortium, Mining Optimization Laboratory (MOL) at the School of Mining and Petroleum Engineering at the University of Alberta.
The objective of the research group is to focus on creative, far-sighted fundamental research addressing industry applicative needs. MOL carries out research projects with clear objectives, scope, deliverables, and timelines with focus on two major areas:
- Applications of Operations Research in Mining Planning and Design
- Simulation / Optimization of Mining Systems
For more information please visit the MOL website at: www.ualberta.ca/mol