Mohamed H. Aly Data-verified
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Biography and Research Information
OverviewAI-generated summary
Mohamed H. Aly is a professor at the University of Arkansas at Fayetteville. His research focuses on the integration and management of renewable energy sources within power systems and microgrids. He has investigated the application of optimization techniques, such as the Whale Optimization Technique and a developed Runge Kutta optimizer, for improving the performance and stability of systems incorporating wind and photovoltaic energy.
His work also explores the integration of electrical vehicles into microgrids and the enhancement of fault ride-through capability and voltage stability in modern power systems through the use of devices like SVC and STATCOM. Aly has published 54 papers, with a total of 267 citations, and holds an h-index of 9. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Mohamed M. Aly, Abdullah Al Saim, and Racine D. Cleveland.
Metrics
- h-index: 10
- Publications: 54
- Citations: 267
Selected Publications
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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)
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Enhancing Tree Species Mapping in Arkansas' Forests through Machine Learning and Satellite Data Fusion: A Google Earth Engine-Based Approach (2024)
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MULTISENSOR SATELLITE DATA FUSION AND MACHINE LEARNING FOR ESTIMATING AND EXTRAPOLATING ABOVE-GROUND BIOMASS IN ARKANSAS FORESTS (2024)
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
- Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine
- Machine Learning and Multisensor Data Fusion for Forest above Ground Biomass Estimation in Arkansas
Showing 5 of 6 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
- SYNTHETIC APERTURE RADAR FOR BATHYMETRIC MAPPING IN NEARSHORE COASTAL WATER
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