I started my PhD under the supervision of Dr. Jeff Phillips and joined the University of Utah as a graduate research assistant in the fall of 2024. My research focuses on efficient algorithms for detecting anomalies in scientific data, particularly scan statistics for localizing interval anomalies in one-dimensional signals. Working with the NSF-Simons AI Institute for Cosmic Origins (CosmicAI) and the National Radio Astronomy Observatory, I develop regression-based scan statistics that model nonstationary backgrounds, along with the linear-time algorithms that make them practical at survey scale. This work is applied to quality assurance for ALMA radio telescope data, where it identifies calibration defects that current automated and manual review processes miss roughly half the time.

I have worked as an AI Engineer at Intelligent Machines Limited, Dhaka, Bangladesh, for three and a half years. I have worked on various projects encompassing images, audio, and documents. I have also worked as a researcher at the University of Prince Mugrin in Medina, Saudi Arabia, and as a software developer at Dmoney Bangladesh Limited in Dhaka, Bangladesh. As a researcher, I curated image and tabular datasets of COVID-19 patients and developed alternative deep learning-based solutions to detect SARS-CoV-2 in COVID-19-positive patients. I also worked as a software engineer, building APIs for the User Management System of Dmoney Bangladesh Limited. Before starting my professional career, I completed my undergraduate degree in Computer Science and Engineering at Bangladesh University of Engineering and Technology in Dhaka, Bangladesh.

I have experience researching Human-Computer Interaction augmented with Computer Vision and Deep Learning. In the future, I aim to continue working at the intersection of efficient algorithms, statistical modeling, and applied machine learning for scientific data.

Here is a link to my CV (updated in late 2024).