Research Assistant | East West University | Bangladesh
Mr. Md. Saymon Hosen Polash is an emerging researcher in Computer Vision, focusing on AI-driven solutions for healthcare, agriculture, and material science. His work emphasizes interpretable deep learning models, disease detection, and IoT security. He contributes to advancing robust, explainable AI systems with practical real-world applications and impactful interdisciplinary research outcomes.
Citation Metrics (Google Scholar)
View Orcid Profile View Google Scholar Profile
Featured Publications
Enhancing IoT cyber attack detection in the presence of highly imbalanced data
– IEEE Conference, 2025 | Citations: 8
ECASCBAMNet: Ensemble of Attention-Enhanced Networks for Grape Leaf Disease Classification with Interpretability and Robustness
– International Conference, 2026
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
– arXiv Preprint, 2026
Band Gap Prediction in 2D Materials via Machine Learning and Explainable AI: A Physics Inspired Approach
– International Conference, 2026
Physics-Guided Machine Learning Approaches for Lithium-Ion Battery State-of-Health Prediction
– Frontiers in Science Conference, 2026