Publications
Seven research outputs spanning deep learning, multimodal AI, healthcare NLP, medical imaging, traffic risk prediction, forecasting, and cybersecurity.
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
