Research

Research interests rooted in machine learning, accessibility, and engineering systems.

My research work aims to connect technical depth with practical usefulness, especially where intelligent systems can improve human outcomes.

Research map

Publications, ongoing investigations, and technical writing collected with more structure.

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Conference

7

Journal

2

Book Chapter

1

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All202420252026

Pre-print

Journal

ARBAN: A Real-World Bangladeshi Clinical X-ray Dataset for Medical Imaging AI in Low-Resource Settings

Antu Roy Chowdhury, Md Abu Ismail Siddique

Introduces ARBAN, a clinically accrued digital radiography corpus from a Bangladeshi diagnostic center containing 2,103 anonymized X-ray radiographs and 1,375 reports. The dataset establishes baseline assessments using state-of-the-art CNNs to aid AI development in low-...

ARBANClinical X-rayConvNeXtBaseDataset Curation

Pre-print

Journal

Morphological Characterization of Lymphocyte Phenotypes using Foundation Representations

A machine learning study focusing on identifying subtle morphological phenotypes and sub-populations of lymphocytes, robustly validated across 4 independent white blood cell datasets....

Cellular DiagnosticsComputer VisionDeep LearningLymphocyte Phenotyping

Recognition

Research-adjacent milestones, awards, and project highlights.

Champion at Programming Contest 2k22

Programming Contest Organised by DEpartment of ETE for 20 Series

2022

Champion at Programming Contest 2k22

Achievement details coming soon.

C/C++LabProblem SolvingProgramming