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)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Mohamed H. Aly's research focuses on the integration and management of renewable energy sources within power systems, particularly microgrids. His work investigates the optimization of power flow and system stability when incorporating wind and photovoltaic energy. Aly has explored advanced control strategies for wind-driven permanent magnet synchronous generators (PMSG), including the use of optimization techniques and fuzzy logic for enhanced performance under varying wind conditions. He has also examined the application of devices like Static Var Compensators (SVC) and STATCOM to improve the fault ride-through capability and voltage stability of modern power grids. Additionally, Aly has contributed to research on novel refrigeration cycles for maintaining ultra-low temperatures, relevant for applications such as vaccine cold chains.
Metrics
- h-index: 10
- Publications: 41
- Citations: 253
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
- Machine Learning for Modeling Wildfire Susceptibility at the State Level: An Example from Arkansas, USA
- Enhancing Tree Species Mapping in Arkansas’ Forests Through Machine Learning and Satellite Data Fusion: A Google Earth Engine–Based Approach
- 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 6 shared publications
- 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
- 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
- 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
- Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes
- Contrasting Radar Scattering Regimes in Titan and Earth's Aeolian Dunes
- Electrical Resistivity Imaging of Recent Landslides in Colorado Springs, Colorado, USA
- Electrical Resistivity Imaging of Recent Landslides in Colorado Springs, Colorado, USA
- ASSESSING LANDSLIDE DYNAMICS: THE EFFICACY OF STREAMLINED LANDSLIDE IDENTIFICATION PROTOCOL (SLIP) AND DENSITY ANALYSIS IN GREER’S FERRY LAKE, ARKANSAS
- SYNTHETIC APERTURE RADAR FOR BATHYMETRIC MAPPING IN NEARSHORE COASTAL WATER
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