Jahrul Alam, Memorial University of Newfoundland
Assistant Professor
Mathematics and Statistics
St. John's, Newfoundland and Labrador
alamj@mun.ca
Office:
(709) 864-8071
Expert In
Bio/Research
I obtained PhD in Applied Mathematics with a specialization on Turbulence at the McMaster University in 2006. Since then I spent one and a half years at the Department of Earth and Environmental Sciences, University of Waterloo as a SHARCNET post-doctoral fellow in Atmospheric modelling. I joined...
Click to Expand >>
Click to Expand >>
Bio/Research
I obtained PhD in Applied Mathematics with a specialization on Turbulence at the McMaster University in 2006. Since then I spent one and a half years at the Department of Earth and Environmental Sciences, University of Waterloo as a SHARCNET post-doctoral fellow in Atmospheric modelling. I joined as an Assistant Professor at the Department of Mathematics and Statistics, Memorial University in the summer of 2008.
My current scientific interests concern modelling, computing, and understanding Fluid Dynamics problems that are challenging in environmental, aeronautical, and industrial applications. More specifically, I focus on integrating dynamically adaptive mesh refinement techniques with Computational Fluid Dynamics to develop an integrated modelling and computing framework for an improved understanding of global warming and climate change issues. This includes the development and verification of high resolution computational models and adaptive parameterization techniques.
Click to Shrink <<
My current scientific interests concern modelling, computing, and understanding Fluid Dynamics problems that are challenging in environmental, aeronautical, and industrial applications. More specifically, I focus on integrating dynamically adaptive mesh refinement techniques with Computational Fluid Dynamics to develop an integrated modelling and computing framework for an improved understanding of global warming and climate change issues. This includes the development and verification of high resolution computational models and adaptive parameterization techniques.
Click to Shrink <<