Mohamed H. Aly
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Professor
Also affiliated: University of California, Riverside (2009–2012); Idaho State University (2009); Dartmouth College (2016); Environmental Systems Research Institute (United States) (2016); Texas A&M University (2005)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Mohamed H. Aly's research addresses the integration of renewable energy sources into microgrids, focusing on energy management and system stability. His work investigates control strategies for mitigating transients in wind power generation, often employing superconducting magnetic energy storage with reactive power support. Aly has also examined the impact of photovoltaic energy systems on voltage profiles and distribution system stability, and the analysis of renewable energy sources and electric vehicle integration into microgrids. His publications include work on the bioactive compounds and antioxidant activities of cereal by-products, and a study on land subsidence in the Nile Delta observed via persistent scatterer interferometry.
Aly's scholarship metrics include an h-index of 10, with 41 total publications and 262 citations. He is recognized as a highly cited researcher. Key collaborators at the University of Arkansas at Fayetteville include Abdullah Al Saim, Rasool Vahid, Racine D. Cleveland, and Gregory Dumond, with whom he has co-authored multiple publications.
Metrics
- h-index: 10
- Publications: 41
- Citations: 260
Positions
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Professor publications 2014–2026University of Arkansas at Fayetteville Listing
Selected Publications
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Forecasting Urban Heat Island Intensification in Arkansas, USA, Using the XGBoost Machine Learning (2026)
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A Comprehensive Systematic Review of Contemporary Geospatial Approaches to Flood Hazard and Risk Assessment (2026)
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Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes (2025)
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Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes (2025)
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An Integrated CA–Markov Modeling Framework for Forecasting Land Use and Land Cover Dynamics in Arkansas, USA (2025)
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A Comparative Study of Machine Learning and GIS-Based Geospatial Modeling of Landslide Susceptibility: A Case Study from Colorado Springs (2025)
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Machine Learning and Multisensor Data Fusion for Forest above Ground Biomass Estimation in Arkansas (2025)
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A Comprehensive Systematic Review of Machine Learning Applications in Assessing Land Use/Cover Dynamics and Their Impact on Land Surface Temperatures (2025)
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PREDICTING URBAN HEAT ISLANDS AND LAND USE DYNAMICS IN NORTHWEST ARKANSAS USING MACHINE LEARNING (2025)
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GEOSPATIAL ASSESSMENT OF FLASH FLOOD SUSCEPTIBILITY IN MAKKAH, SAUDI ARABIA (2025)
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SYNTHETIC APERTURE RADAR FOR BATHYMETRIC MAPPING IN NEARSHORE COASTAL WATER (2025)
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OPERATIONAL FLOOD HAZARD MAPPING AND IMPACT ASSESSMENT IN BANGLADESH USING SENTINEL-1, MODIS, AND GOOGLE EARTH ENGINE (2020-2024) (2025)
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FLASH FLOOD SUSCEPTIBILITY ANALYSIS IN JEDDAH, SAUDI ARABIA, USING A GIS-BASED AHP APPROACH (2025)
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Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach (2025)
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Fusion-Based Approaches and Machine Learning Algorithms for Forest Monitoring: A Systematic Review (2025)
Collaboration Network
Top Collaborators
- Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach
- Machine Learning for Modeling Wildfire Susceptibility at the State Level: An Example from Arkansas, USA
- Fusion-Based Approaches and Machine Learning Algorithms for Forest Monitoring: A Systematic Review
- Machine Learning and Multisensor Data Fusion for Forest above Ground Biomass Estimation in Arkansas
- Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine
Showing 5 of 7 shared publications
- A Comprehensive Systematic Review of Machine Learning Applications in Assessing Land Use/Cover Dynamics and Their Impact on Land Surface Temperatures
- An Integrated CA–Markov Modeling Framework for Forecasting Land Use and Land Cover Dynamics in Arkansas, USA
- Forecasting Urban Heat Island Intensification in Arkansas, USA, Using the XGBoost Machine Learning
- A novel triggerless approach for mass wasting susceptibility modeling applied to the Boston Mountains of Arkansas, USA
- GIS-based regression modeling of the extreme weather patterns in Arkansas, USA
- Electrical Resistivity Imaging of Recent Landslides in Colorado Springs, Colorado, USA
- A Comparative Study of Machine Learning and GIS-Based Geospatial Modeling of Landslide Susceptibility: A Case Study from Colorado Springs
- HIGH-RESOLUTION FLOOD MAPPING IN NORTHWEST ARKANSAS USING LIDAR AND GOOGLE EARTH ENGINE
- A Comprehensive Systematic Review of Contemporary Geospatial Approaches to Flood Hazard and Risk Assessment
- ASSESSING THE IMPACT OF URBANIZATION ON LAND SURFACE TEMPERATURE AND LAND USE/LAND COVER DYNAMICS IN ARKANSAS: A 20-YEAR SPATIOTEMPORAL ANALYSIS USING MACHINE LEARNING & GOOGLE EARTH ENGINE
- PREDICTING URBAN HEAT ISLANDS AND LAND USE DYNAMICS IN NORTHWEST ARKANSAS USING MACHINE LEARNING
- Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes
- Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes
- GPS and Satellite InSAR Observations of Landslide Activity at the Sinking Canyon in South Central Idaho
- GPS and Satellite InSAR Observations of Landslide Activity at the Sinking Canyon in South Central Idaho
- Object-based Dimensionality Reduction in Land Surface Phenology Classification
- Object-based Dimensionality Reduction in Land Surface Phenology Classification
- Object-based Dimensionality Reduction in Land Surface Phenology Classification
- Object-based Dimensionality Reduction in Land Surface Phenology Classification
- Desegregation of remote sensing and GIS to characterize fluctuations in the surface water area of Afar Lakes, Ethiopia
- A geospatial study of the drought impact on surface water reservoirs: study cases from Texas, USA
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