Publications
Eight research outputs spanning deep learning, multimodal AI, healthcare NLP, medical imaging, traffic risk prediction, forecasting, and cybersecurity.
Journal2026
An Interpretable Deep Learning Approach for Breast Cancer Classification and Tumor Localization from Histopathological Images
Results in Engineering / Elsevier (Q1)
Medical ImagingDeep LearningExplainable AIComputer Vision
Conference2026
Industry 5.0-Driven Deep Learning Framework for Long-Term Global CO2 Emission Forecasting
ECCT 2026 / ACSR (Springer Nature)
Deep LearningForecastingSustainability
Conference2026
Few-Shot Multimodal Instruction Tuning for Vision-Language Models
ECCT 2026 / Taylor & Francis
Multimodal AILLMsVision-Language
Conference2026
Biomedical LLM Hallucination Detection via Classifier-Conditioned Factuality Classification
ECCT 2026 / Taylor & Francis
Healthcare AILLMsTrustworthy AI
Conference2026
End-to-End Deep Learning Framework for Kidney MRI Segmentation and Explainable CKD Detection Using Transfer Learning
ECCT 2026 / ACSR (Springer Nature)
Medical ImagingTransfer LearningExplainable AI
Conference2026
A Hybrid Deep Learning Framework for Real-Time Traffic Risk Prediction
IEEE QPAIN 2026 / Chittagong, Bangladesh
Deep LearningTraffic AIRisk Prediction
Conference2025
Domain-Specific NLP for Personalized Radiation Treatment Pathways with LLM Fine-Tuning
IEEE WIECON-ECE 2025 / Cox's Bazar, Bangladesh
Healthcare AINLPLLMs
Book Chapter2025
Securing the Future: Enhancing Cybersecurity in Supply Chains
Book Chapter / IGI Global
CybersecuritySupply ChainApplied AI