Hooman Askari Nasab
Civil and Environmental Engineering
University of Alberta
Canada
Biography
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.
Research Interest
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: Discrete optimization Stochastic programming Multi-objective optimization Intelligent multi-agent systems Heuristics and meta-heuristics Simulation Optimization of Mining Systems, using: Discrete event simulation Continuous simulation Stochastic modeling.
Publications
-
Dynamic shovel allocation approach to short-term production planning in open-pit mines
-
Implementation of a goal programming framework for production and dyke material planning
-
Mining fleet management systems: a review of models and algorithms
