collaborators

6 papers

cs.CL2026

How Does Research Evolve? Tracing Cross-Domain Trajectories in NLP, ML, and CV Through Claim-Grounded Typed Citations

Abdul Muntakim, Md Abdullah Al Hafiz Khan, Sadid Hasan +1

How does research evolve, and can we trace it at the level of individual claims? Scientific progress is not simply a uniform accumulation of facts. Existing citation graphs usually…

cs.CL2026

BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement

Abdullah Al Shafi, Swapnil Kundu Argha, M. A. Moyeen +2

High-quality bilingual resources remain a critical bottleneck for advancing multilingual NLP in low-resource settings, particularly for Bangla. To mitigate this gap, we introduce B…

cs.CL2026

Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset

Rowzatul Zannat, Abdullah Al Shafi, Abdul Muntakim

Increased access to reliable health information is essential for non-English-speaking populations, yet resources in Bangla for disease prediction remain limited. This study address…

cs.CV2025

Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks

Abdullah Al Shafi, Abdul Muntakim, Pintu Chandra Shill +2

Skin cancer can be identified by dermoscopic examination and ocular inspection, but early detection significantly increases survival chances. Artificial intelligence (AI), using an…

cs.CL2025

A Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

Abdullah Al Shafi, Rowzatul Zannat, Abdul Muntakim +1

Disease-symptom datasets are significant and in demand for medical research, disease diagnosis, clinical decision-making, and AI-driven health management applications. These datase…

cs.LG2025

On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts

Mustofa Ahmed, Abdul Muntakim, Nawrin Tabassum +2

Depression detection using deep learning models has been widely explored in previous studies, especially due to the large amounts of data available from social media posts. These p…