Dr Sharifi’s primary research interests lie in the area of river and environmental hydraulics, rainfall-runoff modelling, multi-objective optimization and inverse modelling. He is particularly interested in how physical and data modeling can be coupled to better understand the underlying physics of hydro-environmental processes. A great deal of his research is focused on the application of machine learning and evolutionary computation methods in water sciences.
20092024
Research activity per year
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