About

I am a fourth-year Ph.D. student at the Scientific Computing and Imaging Institute (SCI) at the University of Utah, where I work under the supervision of Dr. Paul Rosen. I received a Master's at the University of South Florida and a Bachelor's at Bangladesh's Military Institute of Science and Technology (MIST), both in Computer Science and Engineering.

Before starting my doctoral studies, I gained valuable industry experience as a software engineer at Enosis Solutions in Dhaka, Bangladesh. In 2021, I also had the opportunity to intern as a software development engineer at Amazon AWS during the summer of 2024. 

My research pursuits revolve around Information Visualization (InfoVis). Currently, my investigation is focused on exploring different ways of mitigating visual clutter on line charts to enable ease in analyzing time-series data. I explore topics such as how various types of line chart design impact viewers' capability to identify trends, make predictions for the future, and make decisions based on them. I am also interested in analyzing how viewers perceive line charts and what features grab their attention. By doing all these analyses, my ultimate goal is to provide human-centric guidelines for visualization designers that will enable them to design line charts that align with their goals and ensure viewers see what they want.