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Amir Hakami is a Professor in the Department of Civil and Environmental Engineering at Carleton University. His research focuses on air quality modeling and its role in policy-making, applying advanced mathematical techniques to understand the transport and transformation of pollutants in the atmosphere. His work involves formal sensitivity analysis and inverse modeling, addressing uncertainties in air quality data. He collaborates across multiple disciplines, including civil, chemical, and mechanical engineering, as well as mathematics, earth science, physics, and chemistry. Through his research, he aims to assist policy-makers in shaping strategies to mitigate air pollution. He has taught various courses on environmental engineering systems, contaminant transport, air pollution control, and atmospheric modeling, contributing to the academic growth of his students. Hakami's research interests reflect a commitment to interdisciplinary approaches and a dedication to enhancing air quality forecasting and management.
Includes MEng and MASc options.