Published Papers
- Md Shariar Hossain & Md Hasnat Riaz
Android Malware Detection System: A Machine Learning and Deep Learning Based Multilayered Approach
Intelligent Computing & Optimization
Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) - Md Shariar Hossain & A. K. M. Bahalul Haque
Blockchain Based Services in Education: A Bibliometric Analysis
Machine Intelligence and Emerging Technologies
First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II - Asif Mahmud, Md Shariar Hossain and 4 others
Prompt based Fine-tuning of Bangla Language Models for Sequence Classification. (Accepted)
Accepted Machine Intelligence and Emerging Technologies(MIET 2024)
Submitted/In Progress
"Transformative Connections: A Comprehensive Recommendation System for NLP, Startups, and Researchers."
This research involves building a recommendation and matchmaking system that utilizes NLP techniques to recommend relevant resources, startups, and experts in the field of Natural Language Processing (NLP). It aims to enhance discoverability and connectivity among individuals and entities involved in NLP research and innovation"AI-Driven Healthcare Decision Support: Symptom-Based Doctor, Disease, and Medicine Recommendations using LLMs."
The research involves developing an AI-powered system that provides decision support in healthcare by offering recommendations for doctors, diseases, and medicines based on patient symptoms. This system leverages Large Language Models (LLMs) and aims to provide accurate and personalized healthcare guidance."Fostering Interfaith Understanding with AI: Scripture-Based Question-Answering for Diverse Faiths."
The research focuses on using AI to promote interfaith understanding by creating a question-answering system that draws from various religious scriptures. This system aims to facilitate dialogue and knowledge exchange among individuals of different faiths by providing answers to questions related to their respective scriptures."Cardiac Health Assessment through Computer Vision Analysis of ECG and Echocardiogram Data."
The research involves using computer vision techniques to assess cardiac health by analyzing data from ECG and echocardiogram tests. This approach aims to provide a visual and automated means of diagnosing and evaluating heart-related conditions, enhancing the efficiency and accuracy of cardiac health assessment.