collaborators

5 papers

cs.AI2026

SkinAgent AI: A Safety-Grounded Multimodal Agentic Framework for Non-Diagnostic Skincare Support

Muhammad Muhtasim Shahriar, Abdullah Mohammad Sayem, Tze Hui Liew +2

Consumer-facing skincare AI must coordinate visual evidence, product information, tool use, and user-facing actions within explicit evidence and safety boundaries. This study evalu…

cs.CV2026

Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

Abdullah Al Mamun, Md. Nasif Osman Khansur, Md Ashraful Hossen Akash +2

Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content. T…

cs.CV2026

TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification

Md Ashraful Hossen Akash, Shyla Afroge, Abdullah Al Mamun +2

The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed…

cs.CL2026

Cross-Lingual Probing and Community-Grounded Analysis of Gender Bias in Low-Resource Bengali

Md Asgor Hossain Reaj, Rajan Das Gupta, Jui Saha Pritha +4

Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in non-English languages. Although current…

cs.CV2025

GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition

Md Asgor Hossain Reaj, Rajan Das Gupta, Md Yeasin Rahat +3

We introduce GANDiff FR, the first synthetic framework that precisely controls demographic and environmental factors to measure, explain, and reduce bias with reproducible rigor. G…