Copyright © 2013-2025 Yashar Pourrahimian
PhD, Mine Planining and Optimization
MSc, Rock Mechanics
BSc, Mine Exploitation
Yashar Pourrahimian, PhD, PEng
Dr. Yashar Pourrahimian is a Professor of Mining Engineering at the University of Alberta. He earned his Ph.D. in Mining Engineering
from the University of Alberta, following a Master of Science degree from the University of Tehran and a Bachelor of Science degree
from Sahand University of Technology in Iran. With over two decades of experience in research, teaching, and consulting, Dr. Pourrahimian
previously served as a faculty member in the Faculty of Mining Engineering at Sahand University of Technology. He joined the Department
of Civil and Environmental Engineering and the School of Mining and Petroleum Engineering at the University of Alberta in 2013.
Dr.
Pourrahimian has extensive expertise in mine planning and optimization. His research is carried out through the Mining and Rock Science
Development and Innovation Laboratory (MRDIL) at the University of Alberta. His work focuses on applying operations research and advanced
analytical techniques to develop innovative models and solutions aimed at enhancing mine design and optimizing operational performance.
He is also a member of the Mining Optimization Laboratory (MOL), an industrial research consortium dedicated to advancing mining technologies.
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
