I’m a first-year Computer Science PhD student at the University of Kentucky, advised by Dr. Abdullah-Al-Zubaer Imran, and working in the areas of computer vision and medical imaging. My current research focuses on CT image synthesis using diffusion models to enhance the quality and diversity of synthetic medical imaging data. Prior to this, I served as a Teaching Assistant (TA) in the Department of ECE, North South University, and completed my B.Sc. in Computer Science and Engineering from North South University, Dhaka, Bangladesh where I was advised by Dr. Nabeel Mohammed.

In my undergraduate thesis, I implemented efficient methodologies and proposed datasets for 2D image-based virtual try-on and became the 2nd Runner-up in NSU ACM SC Capstone Innovation Challenge 2022 at North South University. I consistently achieved academic excellence in both my coursework and extracurricular activities, as well as gained “Summa Cum Laude” the highest distinction. Due to my great academic record, I received the opportunity to study with a 100% tuition fee waiver.

Research Interests:

• Computer Vision
• Generative AI
• Diffusion Models
• Medical Imaging
• Deep Learning

News:

• New!: [Apr 2025] Presented my work on Swin-KAT at ISBI 2025
• New!: [Apr 2025] Manuscript accepted for publication in the Journal of Medical Imaging (JMI) 2025!.
• New!: [Apr 2025] I gave a talk on Swin-KAT at the 20th Annual CCTS Spring Conference 2025 in Lexington, KY.
• [Jan 2025] Paper accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2025!
• [Nov 2024] Paper accepted at SPIE Medical Imaging 2025.
• [Aug 2024] Started working as a Graduate Research Assistant (GRA) at the CHILL Lab at the University of Kentucky.
• [Aug 2024] Started my journey as a PhD student at the University of Kentucky
• [Aug 2023] Completed my Bachelor’s degree in Computer Science and Engineering from North South University (NSU)