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Biography and Research Information
OverviewAI-generated summary
Mahmud Afroz's research utilizes remote sensing and machine learning techniques to address complex societal challenges. His work includes developing models for urban flood susceptibility mapping and monitoring landscape dynamics in peri-urban areas. Afroz has also applied machine learning to predict child development outcomes across various domains, including literacy, physical development, and social-emotional health, using cross-sectional data from Bangladesh. His research extends to forecasting acute respiratory infections among refugee populations and analyzing determinants and temporal trends of maternal healthcare service utilization in Bangladesh. Additionally, he has investigated the economic losses and casualties associated with earthquakes in the New Madrid Fault Zone.
Metrics
- h-index: 2
- Publications: 3
- Citations: 109
Selected Publications
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Remote sensing-based monitoring of peri-urban landscape dynamics: A case study of Rupganj, Bangladesh (2026)
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Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022 (2026)
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Deep Learning–Based Multivariate Time Series Forecasting of Acute Respiratory Infections Among Rohingya Refugees in Cox's Bazar, Bangladesh (2025)
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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)
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A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches (2025)
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ASSESMENT OF ECONOMIC LOSS AND CASUALTIES DUE TO EARTHQUAKES OF DIFFERENT MAGNITUDES AT THE NEW MADRID FAULT ZONE (2022)
Collaboration Network
Top Collaborators
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022
- Deep Learning–Based Multivariate Time Series Forecasting of Acute Respiratory Infections Among Rohingya Refugees in Cox's Bazar, Bangladesh
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022
- Remote sensing-based monitoring of peri-urban landscape dynamics: A case study of Rupganj, Bangladesh
- Remote sensing-based monitoring of peri-urban landscape dynamics: A case study of Rupganj, Bangladesh
- Remote sensing-based monitoring of peri-urban landscape dynamics: A case study of Rupganj, Bangladesh
- Remote sensing-based monitoring of peri-urban landscape dynamics: A case study of Rupganj, Bangladesh
- ASSESMENT OF ECONOMIC LOSS AND CASUALTIES DUE TO EARTHQUAKES OF DIFFERENT MAGNITUDES AT THE NEW MADRID FAULT ZONE
- A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
- A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
- A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Predicting Child Development Across Literacy, Physical, Learning, and Social‐Emotional Domains Using Supervised Machine Learning: A Cross‐Sectional Study Based on MICS 2019 Bangladesh
- Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022
- Maternal Healthcare Service Utilization in Bangladesh: A Cross‐Sectional Study of Determinants and Temporal Trends Using BDHS 2011–2022
- Deep Learning–Based Multivariate Time Series Forecasting of Acute Respiratory Infections Among Rohingya Refugees in Cox's Bazar, Bangladesh
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