Mohammed Jashim Uddin

Islamic University, Noakhali Science and Technology University

Papers

Total Citations

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About

Mohammed Jashim Uddin is a researcher at the intersection of agricultural technology and natural language processing (NLP), with a focus on solving real-world problems through machine learning. His most impactful work, "Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration" (2023, 32 citations), addresses a critical challenge in global food security by enabling early, accurate diagnosis of rice diseases. By integrating CNNs with mobile technology, Uddin’s approach moves beyond traditional RGB-based image processing to deliver more reliable, field-ready solutions for farmers. In parallel, he has made foundational contributions to Bangla language processing. His paper "BnVec: Towards the Development of Word Embedding for Bangla Language Processing" (2021, 6 citations) pioneers vector representations for a low-resource language, while "BanglaLM: Data Mining based Bangla Corpus for Language Model Research" (2021, 5 citations) provides a crucial dataset for advancing NLP in Bengali. Together, these works demonstrate Uddin’s commitment to democratizing AI—from boosting agricultural resilience to empowering underrepresented languages. His research bridges computational innovation with tangible societal impact, making him a notable figure in applied machine learning.