Mahmud Afroz

Researcher

University of Arkansas

Graduate Student Researcher

1 h-index 1 pubs 57 cited

Research Areas

OverviewAI-generated summary

Mahmud Afroz's research has explored the application of remote sensing and machine learning techniques to address complex societal and environmental issues. His work includes a systematic review of urban flood susceptibility mapping, examining various modeling approaches that utilize remote sensing and machine learning. Afroz has also investigated landscape dynamics in peri-urban areas using remote sensing, with a case study in Bangladesh. In parallel, his research extends to public health, focusing on maternal healthcare service utilization and its determinants in Bangladesh, analyzing temporal trends from 2011 to 2022. Additionally, he has applied supervised machine learning to predict child development across multiple domains, utilizing data from a cross-sectional study in Bangladesh.

Metrics

h-index: 1
Publications: 1
Citations: 57

Selected Publications

Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022 (2026)

Health Science Reports DOI OpenAlex
Deep Learning–Based Multivariate Time Series Forecasting of Acute Respiratory Infections Among Rohingya Refugees in Cox's Bazar, Bangladesh (2025)

DOI OpenAlex
Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh (2025)

Health Science Reports 2 citations DOI OpenAlex
A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches (2025)

Remote Sensing 85 citations DOI OpenAlex
ASSESMENT OF ECONOMIC LOSS AND CASUALTIES DUE TO EARTHQUAKES OF DIFFERENT MAGNITUDES AT THE NEW MADRID FAULT ZONE (2022)

Abstracts with programs - Geological Society of America DOI OpenAlex