Research Interests
My research interests span Trustworthy AI, Healthcare AI, Computer Vision, and Cybersecurity. My work focuses on three key areas:
- Machine learning for student mental health analysis.
- Medical image analysis for disease detection and severity assessment.
- Interactive 3D visualization for network intrusion detection systems.
My current work explores Federated Learning and Explainable AI for privacy preserving healthcare applications.
Research Summary
Published papers: 1 | Journal manuscripts under review: 1 | Conference manuscripts under review: 2 | Total research works: 4 | Published conference papers: 1 | Citations: 10 Peer Review: 2
Publications
QPAIN 2026
Protecting Student Mental Health with a Context Aware Machine Learning Framework for Stress Monitoring
Md Sultanul Islam Ovi, Jamal Hossain, Md Raihan Alam Rahi, Fatema Akter
2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and Networking
Healthcare AI Student Mental Health Machine Learning Stress Monitoring
Conference
IEEE
Journal Manuscripts Under Review
Journal Review
Psychometric Validation and Explainable Reduced Item Depression Severity Stratification in Bangladeshi University Students
Md Sultanul Islam Ovi, Jamal Hossain, Md Raihan Alam Rahi
Journal manuscript under review. This work focuses on depression severity stratification, psychometric validation, and explainable machine learning for student mental health analysis.
Mental Health Depression Analysis Healthcare AI Explainable ML
Journal
Under Review
Conference Manuscripts Under Review
Conference Review
Lesion Aware Explainable Federated Deep Learning for Privacy Preserving Multicenter Diabetic Retinopathy Detection and Severity Grading from Retinal Fundus Images
Md Abdullah Asrafee, Jamal Hossain, Ummeh Aisha
Conference manuscript under review. This work explores federated deep learning, explainable AI, and diabetic retinopathy detection from retinal fundus images.
Medical Imaging Federated Learning Diabetic Retinopathy Explainable AI
Conference
Under Review
Conference Review
An Interactive 3D Decision Space Visualization Framework for Misclassification Analysis in Machine Learning Driven Network Intrusion Detection Systems
Jamal Hossain, Mazharul Islam, Krishna Debnath
Conference manuscript under review. This work was developed from my undergraduate thesis completed at Imperial College of Engineering, Khulna, for the B.Sc. in Computer Science and Engineering degree conferred by the University of Rajshahi. The study focuses on network intrusion detection, interactive 3D decision space visualization, and misclassification analysis.
Cybersecurity NIDS 3D Visualization B.Sc. Thesis Work Conference Review
Conference
Under Review
Thesis Work