I now work in the industry as a Java Backend Developer after working as an Assistant Professor in the Department of Computing at East Tennessee State University (ETSU). Before joining ETSU, I was a Research Scientist in the Department of Neurology at Medical College of Wisconsin (MCW). I received my Ph.D. in Computational Sciences from the Department of Mathematics, Statistics and Computer Science at Marquette University under the supervision of Dr. Sheikh Iqbal Ahamed in 2015.

About my interest

I started my career by working as a Lecturer just after my graduation in 2006. I was involved in full-time higher education teaching for four years as I was an Assistant Professor of Computer Science at East Tennessee State University. In ETSU, I primarily taught Software Engineering courses. I also taught Machine Learning and Graduate Capstone classes as well as introductory programming languages. I was actively involved in new course creation as well as curriculum development activities. Since transitioning to industry, I have been working as a Software Developer as a Backend Java Developer. I have worked with Cisco Systems as an Intern, with a Fintech startup as a Developer and with Apple as a Consulant.

I focused my research activities in mobile Health and computational sciences. I am specially inclined to apply computing tools and technologies to address problems in healthcare. My research primarily involves Mobile Computing, specifically sensor data analysis, algorithm development and designing and building mHealth systems. We now have a unique phenomenon where significant computational power, storage, connectivity, and built-in sensors are carried by many people willingly as part of their life style. Measuring different meaningful parameters of target subjects by analyzing sensor data can be tremendously useful to various stakeholders. My expertise and knowledge in Software Engineering, Machine Learning and Applied Mathematics had been useful for solving problems and developing systems. I also conducted research in Neurology where I analyzed fMRI, MEG and ECoG data obtained from human brain.