Research & Publications

Peer-reviewed journal articles, conference papers, and ongoing research in machine learning, bioinformatics, and public health.

Peer-Reviewed Journal Articles

Cardiovascular risk prediction among Bangladeshi individuals using machine learning and association rule mining

Islam MM, Kumar S, et al.

PLOS ONE • 2025

Developed machine learning models and association rule mining techniques to predict cardiovascular risk factors in the Bangladeshi population.

DOI Paper

Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches

Rabby MS, Islam MM, Kumar S, et al.

PLoS ONE • 2025

Integrated bioinformatics pipelines with machine learning to identify and validate diagnostic and prognostic biomarkers from lung cancer RNA-seq data.

DOI Paper

Prediction of undernutrition among under-five children in Bangladesh using explainable machine learning algorithms

Islam MM, Kibria NMSJ, Kumar S, et al.

PLoS ONE • 2024

Applied explainable AI (XAI) and machine learning algorithms to national survey data to predict and interpret undernutrition risk factors in children.

DOI Paper

Development and validation of a nomogram model for predicting hypertension risk in Bangladesh

Islam M, Alam J, Kumar S, et al.

Heliyon • 2024

Developed and validated a clinical nomogram model using statistical modeling to assess hypertension risk in the Bangladeshi demographic.

DOI Paper

Investigating consumer interest and satisfaction with online shopping amid the pandemic in Bangladesh

Ahmed T, Rahman R, Suchi SI, Kumar S

International Journal of Academe and Industry Research • 2025

Analyzed consumer behavior and satisfaction metrics related to e-commerce platforms during the pandemic using statistical methods.

DOI Paper

Conference Papers & Presentations

Stacking-based ensemble machine learning approach to explore diagnostic and prognostic biomarkers from bulk RNA-seq data in lung cancer

Kumar S, et al.

ISASDS 2025, University of Dhaka

Presented a novel stacking-based ensemble ML approach for biomarker discovery in lung cancer transcriptomics.

Slides

Identification of prognostic biomarkers of glioblastoma using bioinformatics and machine learning

Alam MJ, Rabby MS, Kumar S, Islam MM

ICRAST 2025, University of Rajshahi

Explored prognostic biomarkers for glioblastoma through integrated bioinformatics workflows and predictive modeling.

Slides