Rasool Vahid
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Also affiliated: University of Tabriz (2021)
Formerly Arkansas Senior Graduate Teaching Assistant, University of Arkansas through 2026.
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Rasool Vahid's research focuses on the application of machine learning and advanced modeling techniques to environmental and urban dynamics. He has investigated land use and land cover changes, utilizing integrated frameworks such as CA-Markov modeling to forecast future dynamics, particularly within Arkansas. His work also examines the impact of these changes on local climate parameters, including urban heat island intensification, for which he has employed machine learning algorithms like XGBoost. Vahid has also explored the analysis of water surface extent in relation to climate change parameters, as demonstrated in his study of Zarivar Lake. Additionally, his research interests extend to architectural strategies for urban flood mitigation, considering both traditional and contemporary resilience approaches. His scholarship metrics include an h-index of 3, with 6 total publications and 54 citations.
Metrics
- h-index: 3
- Publications: 6
- Citations: 55
Positions
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Senior Graduate Teaching Assistant 2021–2026University of Arkansas at Fayetteville Geosciences ORCID
Selected Publications
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Forecasting Urban Heat Island Intensification in Arkansas, USA, Using the XGBoost Machine Learning (2026)
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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 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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Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran (2024)
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Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience (2024)
Collaboration Network
Top Collaborators
- 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
- Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
- Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
- Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
- Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience
- Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran
- Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran
- Dynamic Analysis of Water Surface Extent and Climate Change Parameters in Zarivar Lake, Iran
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