Apurbo Biswas

Apurbo Biswas

CSE undergraduate building applied AI systems across vision, language, forecasting, and healthcare research.
Research author and academic reviewer.

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