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