Copyright © 2013-2024 Yashar Pourrahimian
PhD, Mine Planining and Optimization
MSc, Rock Mechanics
BSc, Mine Exploitation
6-243 Donadeo Innovation for Engineering
Phone: (780) 492 5144
Yashar Pourrahimian, PhD, PEng
Yashar Pourrahimian is currently an Associate Professor of Mining Engineering at University of Alberta. He holds a PhD from University
of Alberta (UofA). He holds a BSc in Mining Engineering from Sahand University of Technology, Iran. He received his M.Sc. degree in
Mining Engineering from University of Tehran, Iran. He has 20 years of research, teaching , and consulting experience. He worked
as an academic member in Faculty of Mining Engineering at Sahand university of Technology. He joined Department of Civil and Environmental
Engineering and School of Mining and Petroleum Engineering at the University of Alberta, Canada in 2013.
Dr. Pourrahimian has
extensive experience in mine planning and optimization. His research activities are conducted through Mining and Rock ScienceDevelopment
and Innovation Laboratory (MRDIL) at the University of Alberta. His research strives to use operations research and advanced analytical
methods to develop models and solutions for the mining industry, allowing better mine design and optimum operation. Dr. Pourrahimian is
also part of the industrial research consortium Mining Optimization Laboratory (MOL).
The research group objective is to
focus on fundamental research and tackle challenging projects addressing industry needs.
His research focuses on:
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Data-driven mine optimization (AI, ML)
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Optimization in surface mine design and planning using operations research (OR)
Long-term, medium-term, and short-term -
Optimization in underground mine design and planning using operations research methods
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Mathematical programming for sequence optimization (MILP, QP, LP, MILGP)
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Mathematical programming for stope layout optimization
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Simulation optimization of mining systems
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Application of the real options in engineering design and decision making
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Underground stope boundary optimization
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Incorporating the human factors into operations managemnts
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Impressive virtuality for mine waste dump and tailings management
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Optimizing the operational energy efficiency in surface mines
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Real-time mine road condition monitoring systems
Research Database
