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:
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:
For more information please visit the MOL website at: www.ualberta.ca/mol
Introduction to mine planning and design using professional software tools. Drillhole databases; drillhole compositing; surfaces and solids; geological and economic block models; open pit mine layout and planning requirements; pit limit optimization; haul road design; pit and waste dump design; long and short-term mine production scheduling; cut-off grade optimization. Prerequisites: MIN E 295, CIV E 265.Winter Term 2021
Principles and practices of underground total air conditioning. Control of quantity, quality, and temperature-humidity of the underground mines. Design and analyses of mine ventilation networks. Theory and applications of fans to mine ventilation systems. Ventilation planning and overall system design. Prerequisites: MIN E 414 and one of CIV E 330 or CH E 312. Corequisite: MIN E 422.Winter Term 2021
The course integrates theory and applications by means of undertaking a real-world simulation project using discrete event simulation software. Emphasis is placed on transporters, customization of simulation using VBA, pseudo agent-based modeling, simulation based optimization, verification and validation techniques, and experimental design. Prerequisite MIN E 641 or consent of the instructor.Winter Term 2021