Photo of Amir Hakami

Amir Hakami

Associate Professor in Environmental Engineering, Associate Dean - Research and Graduate Studies

Degrees:B.Sc. (Polytechnic of Tehran), M.Sc., Ph.D. (Georgia Tech), Postdoc (Caltech)
Phone:613-520-2600 x 8609
Office:2374 (Mackenzie)
Website:Carleton Atmospheric Modelling Group

Prof. Hakami’s mailbox is located in room 3432 C.J. Mackenzie Building, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6 Canada

  • ENVE 4003/ENVE 5101 Air Pollution and Emissions Control
  • ENVE 5106 Atmospheric Chemical Transport Modelling

Previous Teaching Assignments

  • ENVE 3002 Environmental Engineering Systems Modeling
  • ENVE 3004 Contaminant and Pollutant Transport in the Environment
  • ENVE 4918 Design Project
  • ENVE 5106 Atmospheric Chemical Transport Modelling
  • ENVE 5105 Atmospheric Aerosols (previously taught as ENVE 5703)
  • ENVE 5702 Photochemical Transport Modelling

Research Interests

Dr. Hakami’s research areas include air quality modeling in support of policy-making; formal sensitivity analysis in air quality modeling; inverse modeling and data assimilation; and uncertainty analysis.

Overview of Research Applications
I use mathematical models at various spatial scales to represent processes that are responsible for transport and transformation of pollutants in the atmosphere. One objective is to provide policy-makers with the best (optimal) strategy to reduce air pollution. Scientific contribution from my research to the decision-making process is, therefore, to quantify the response of the atmosphere to various man-made changes. This is achieved through various methods for sensitivity analysis that are applied in air quality models. Also, it turns out that sensitivity analysis methods are quite useful and potent tools in many other applications of interest such as air quality forecasting, uncertainty analysis, satellite-based inverse modeling, and quantitative analysis of trans-boundary and intercontinental transport of pollution. These areas of research are by nature interdisciplinary, and borrow from various engineering (civil, chemical, mechanical) and science (mathematics, earth science, physics, chemistry) disciplines.