I explore computer science fundamental and basic concepts in developing sustainable, efficient and innovative solutions to real world problems by combining theoretical analysis, computational paradigms and deductive reasoning with scientific experimentations. I have a broad research experience in Artificial Intelligence with specific expertise in predictive modelling. I am a principal investigator on an ongoing NSF funded research on the visualization, analysis and prediction of COVID-19.Teaching Philosophy
My teaching philosophy is rooted in the belief that students learn more when they actively participate. Therefore, I focus more closely on professional, practical and hands-on skills thereby stimulating critical thinking, curiosity and creativity. I connect organizational dynamics to student outcomes by improving the learning environment and inspiring changes in curriculum for a quality computer science program. I strongly believe that computer science is for all.
Statistical data of the ongoing COVID-19 pandemic shows a disturbing trend. While fatality and mortality rates are skyrocketing in the United States, the pandemic is just taking roots in other parts of the world. COVID- 19 pandemic seems to be the newest threat to humanity. (more...)
Department of Computer Science & Information Technology
School of Engineering and Applied Science
Bldg 42. Suite 112E
4200 Connecticut Ave. NW
Washington, DC 20008