Hi, I’m a PhD student in Computer Science at the University of Kentucky, advised by Dr. Ruiquan Huang. My research focuses on Large Language Models (LLMs) and diffusion language models, with an emphasis on computational efficiency and scalable training and inference.

Previously, I worked as an AI Engineer at AlterSense Limited, where I led the development of a human activity recognition system for the RMG industry in Bangladesh. Prior to this, I served as a Lab Instructor at North South University. I was also awarded a research fellowship through the Fatima Fellowship Program, where I worked on “Emerging Number Format Effect on ML Runtime Performance” under the supervision of Dr. Abdulrahman Mahmoud. Earlier, I worked as a Research Assistant intern at the TnR Biomedical Research Lab, leading to my first peer-reviewed journal publication in the biomedical domain.

I earned my B.Sc. in Computer Science and Engineering from North South University, supervised by Dr. Mohammad Ashrafuzzaman Khan and Dr. Tanzilur Rahman. My undergraduate thesis, titled “Road Crack Segmentation with Driving Assistance and Real-time Feedback System,” focused on computer vision for intelligent transportation systems. My CV is available here.

Research Interests:

• Computer Vision
• Generative AI
• Vision Language Models
• Deep Learning

News:

• New! Jan 2026 I am starting my Doctoral Studies in Computer Science at the University of Kentucky this Spring 2026.
• New! Dec 2025 Paper accepted for Publication at 20th International Conference on Semantic Computing (ICSC) in Laguna Hills, California, USA
• July 2024 One of my recent works on Conversational AI Systems is available now on ArXiV
• July 2024 I moved to Lexington, Kentucky, United States.
• January 2023 I joined the Fatima Fellowship as a Fellow-success-coordinator!
• November 2022 I started working as a machine learning engineer at Altersense Ltd.
• May 2022 Selected participant as a pre-doctoral Research Fellow at the Fatima Fellowship
• January 2021 Our manuscript on Blood Glucose Level Regression for Smartphone PPG Signals Using Machine Learning has been published in MPDI Applied Sciences Journal (Impact factor 2.7) pdf
• August 2020 Our paper titled Comparative Study of Classifiers on Human Activity Recognition by Different Feature Engineering Techniques has been published at the 10th International Conference on Intelligent Systems (IS). pdf
• September 2019 Started working as a Lab Instructor at the ECE department at North South University
• December 2019 Published my First Journal paper titled: “Road State Classification of Bangladesh with Convolutional Neural Network Approach” pdf
• July 2019 Published my first research paper titled A Convolutional Neural Network Approach for Road Anomalies Detection in Bangladesh with Image Thresholding” at the IEEEWS4 conference. pdf