About
I am a PhD student in the Department of Computer Science at the University of Texas at San Antonio, advised by Dr. Kevin Desai in the Vision & Immersive Realities Lab.
My research interests lie in medical image segmentation, data-efficient deep learning, and AI-driven healthcare. I am currently working on semi-supervised segmentation methods that leverage synthetic-to-real domain alignment to reduce annotation costs in medical imaging. A list of my publications can be found here.
Prior to my PhD, I worked as a software engineer for 2.5 years, building full-stack applications and designing system architectures at Nascenia Ltd and RedDot Digital Ltd.
I received my B.Sc. in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) in 2020.
Research Interests: Medical Image Segmentation, Semi-Supervised Learning, Transfer Learning, Computer Vision, Deep Learning for Healthcare
News & Updates
Mar 2026 — Two of my papers (SRA-Seg & TRACE) have been accepted at ICPR 2026 in Lyon, France
Mar 2026 — Our paper Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion accepted at CVPR 2026 HOW workshop in Denver, CO, USA
Mar 2026 — My paper To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models accepted at CVPR 2026 Med-reasoner workshop in Denver, CO, USA
Oct 2025 — Our paper Comprehensive Benchmarking of Deep Learning Approaches for Automated Astrocyte Segmentation in Traumatic Brain Injury accepted at Journal of Neuropathology and Experimental Neurology (JNEN)
Aug 2025 — Serving as Course Instructor for CS 2113 - Fundamentals of Object-Oriented Programming
Aug 2024 — Serving as Course Instructor for CS 3443 - Application Programming
Aug 2023 — Started Graduate Teaching Assistantship at University of Texas at San Antonio
Aug 2023 — Started PhD at University of Texas at San Antonio