Md. Sabir Hossain

RESEARCH & PUBLICATIONS

AI and computer vision for safer, more private systems

46 publications, 841 citations, h-index 13 and i10-index 17 on Google Scholar (as of 3 Nov 2026). Publications appear under M.S. Hossain and Md. Sabir Hossain. Current work at KFUPM and IRC-ISS focuses on human fall detection, deep learning, privacy-preserving AI, and medical and explainable AI.

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Research themes

Human fall detection: sensor-visual fusion, recurrence-plot and Gramian Angular Field image representations, and fall detection in poor lighting (PhD thesis).
Privacy-preserving AI: federated learning and secure, real-time attention estimation for online learning.
Medical and explainable AI: skin-lesion and EEG emotion classification, interpretable models and Grad-CAM insights.
Applied machine learning: recommender systems, customer-churn prediction, cybersecurity and algorithm design.

Top1000 Scholar 2026 (ScholarlyIndex) topic rankings: #522 in the world in Academic Integrity and Plagiarism (2021–2025); #957 in the world in Customer Churn and Segmentation (lifetime).

Earlier interests: algorithmic complexity analysis, frequent pattern mining, information retrieval and visualization, and augmented reality.

Publications

All 46 publications from Google Scholar. Search by title, co-author or venue, filter by year, and sort by date or citations.

Research grants

2025-01 · IRC-ISS research grant for PhD thesis, KFUPM.
2022-04 – 2022-06 · Advisor, Acastry: An AI-based System to Develop Collaboration between Academia and Industry. Researcher Connect Grant, British Council (BDT 4,70,000).
2022-01 · Member, Smart Fish Observatory and Census System. ICT Division, Government of Bangladesh.
2019-09 onward · Project Member, Machine Learning-based Healthcare Analytics. CUET Directorate of Research & Extension (BDT 3,53,000).
2019-09 onward · Project Member, Development of COJ: CUET Online Judge. CUET Directorate of Research & Extension (BDT 3,50,000).

Thesis supervision

19 undergraduate theses supervised at CUET from 2017 to 2023, as principal supervisor or co-supervisor. Open a period to see the students and topics.

2021 – 2023 (10 theses)

2023 · Arif Mohammad Asfe: Customer Churn Prediction in the E-commerce Industry using a Deep Learning Approach (completed up to proposal).
2023 · Arnab Chakraborty: Deep Learning-Based Suspicious Behavior Detection System (completed up to proposal).
2023 · Md. Al-Amin Khan: Quality Prediction of Textile Chemicals Using Machine Learning Models (completed up to proposal).
2023 · Saikat Chowdhury: Detecting Suicidal Intentions through Analysis of Social Media Content (completed up to proposal).
2022 · Ayesha Naznin: A Deep Learning-Based Approach for Video Evaluation of Physical Rehabilitation Exercises.
2022 · Nahid Hossain: A Technical Interview Questions Recommender System for IT Job Preparation.
2022 · Sudipta Chowdhury: Development of an AR-based Online Shopping System for Wearable Products.
2021 · Ashis Pondit: Development of an Automated Response Generation System to Standard Job Requirements.
2021 · Rakibul Islam: E-bot: Development of a Bangla E-commerce Chatbot Using Deep Learning.
2021 · Shibbir Ahmed: Major Crop Yield Prediction Based on User Location Using an Ensemble Model in the Context of Bangladesh.

All as principal supervisor; undergraduate, CUET. Completed unless noted.

2019 – 2020 (4 theses)

2020 · Md. Ariful Islam: Frequent Pattern Mining Algorithms (ongoing).
2020 · Debobrato Sarker: Soccer Result Prediction Using Machine Learning.
2019 · Mohammad Iqbal Hossain: A Framework to Recommend Hotspots for Drivers to Get More Trips.
2019 · Md. Reyadus Salahin: A Suggestive System for Automated Response on Standard Conversations.

All as principal supervisor; undergraduate, CUET. Completed unless noted.

2017 – 2018 (5 theses)

2018 · Md. Rashed Alam: Mobile Usage Prediction and Recommendation Based on Available Packages (principal supervisor).
2018 · Md. Fahim Abrar: Developing a Framework for Analyzing Real-Time Tweets to Detect Terrorism (co-supervisor).
2017 · Prabal Krishna Saha: A University Recommender System for Admission Test Examinees (principal supervisor).
2017 · Md. Mustafizur Rahman: An Improved Fitness Function for Automated Cryptanalysis using Genetic Algorithm (co-supervisor).
2017 · Md. Neamul Haque and Md. Ikramul Islam: An Interactive Framework for University Admission System (co-supervisor).

Undergraduate, CUET. All completed.