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Amir Hakami is a Professor in the field of Environmental Engineering at Carleton University. His academic background includes a B.Sc. from Polytechnic Tehran, a M.Sc. and Ph.D. from Georgia Tech, and postdoctoral training at Caltech. His research primarily focuses on applications of air quality modeling to support policy-making, including formal sensitivity analysis, inverse modeling, data assimilation, and uncertainty analysis. He aims to provide policy-makers with optimal strategies to reduce air pollution through mathematical models that represent the processes behind the transport and transformation of pollutants in the atmosphere. Dr. Hakami's work is inherently interdisciplinary, integrating concepts from civil, chemical, and mechanical engineering with mathematics, earth science, physics, and chemistry. He teaches various courses related to Environmental Engineering Systems and Air Pollution Control, contributing to the education of future professionals in the field. His research and teaching reflect a commitment to bridging theoretical knowledge and practical application in environmental engineering.
Includes MEng and MASc options.