1) A Machine Learning-Based Framework for Chest Disease Prediction and Automated Diagnostic Report Generation ( Funded by Leading University (RPCC/CRISP) )
Dataset: Custom clinical X-ray images (Bangladesh)
Goal: Build a machine learning system for multi-disease chest prediction and automated report generation.
Research Assistant: Shahriar Jahan Sunny, Md. Ali Hussain Sagor, Paromita Kar
2) Machine Learning-Based Prediction of Obesity Using Demographic and Lifestyle Factors of Bangladeshi University Students
Dataset: Survey (demographics, diet, activity, sleep, stress)
Goal: Build predictive ML models for obesity and design prevention strategies
Research Assistant: Sheikh Tasnia Nuzhat, Md. Mahbubur Rahman Mahbub, Najmun Nahar Anjum.
3) AI-Driven Analysis of Sleep Habits and Their Influence on University Productivity
Dataset: Bangladeshi university students
Goal: Predict productivity, extract patterns, improve well-being
Research Assistants: Md. Shahir Sammun, Nuzat Rahman, Md Kamran Hussen
4) Explainable AI for Early Diabetes Detection and Risk Factor Analysis
Dataset: Electronic Health Records (EHRs) and diagnostic test results
Goal: Predict diabetes onset and explain the most influential features to support clinical decision-making
Research Assistant: Md. Mehrab Hussain Sumon, Sagnik Deb, Sangida Akter Meem