About me

Email: bipulhstu [at] gmail [dot] com

Hello! This is Md. Bipul Islam — you can call me Bipul.

I am currently pursuing my M.Sc. in Computer Science and Engineering at Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh (expected July 2026), working under the supervision of Dr. Ashis Kumar Mandal. I have maintained a CGPA of 3.85/4.00 through my second semester.

I earned my B.Sc. in Electrical and Electronic Engineering from the same university in December 2019. Driven by a passion for programming, I pursued computer science coursework alongside my electrical engineering studies, building a strong foundation across both domains.

My research spans Artificial Intelligence and Machine Learning, with particular focus on Pattern Recognition, Deep Learning, Computer Vision, Natural Language Processing, and Large Language Models (LLMs). I am especially driven by AI in healthcare — developing interpretable, trustworthy models for clinical prediction, healthcare utilization and cost forecasting, and public-health decision-making. My interdisciplinary background in electrical engineering helps me develop novel solutions by hybridizing techniques across domains, with an emphasis on ethical research that bridges theory and practical AI applications.

Research Interests

• AI in Healthcare — Clinical Prediction, Healthcare Utilization & Cost Modeling, Explainable Medical AI
• Artificial Intelligence — Trustworthy AI, Explainable AI (XAI)
• Machine Learning & Pattern Recognition — Deep Learning, Transfer Learning, Feature Engineering
• Computer Vision — Image Processing & Analysis, Object Detection & Recognition
• Natural Language Processing — Large Language Models (LLMs), Sentiment Analysis
• Data Science & Visualization — Data Mining & Big Data Analytics, Statistical Analysis & Modeling

Research Philosophy

I believe research demands dedication, intellectual curiosity, and a commitment to advancing knowledge for the benefit of society. My approach emphasizes ethical practice, rigorous methodology, and meaningful contributions to the scientific community — conducting research that not only advances theoretical understanding but also delivers practical solutions to real-world challenges.