Biography and Research Information
OverviewAI-generated summary
Shahrin Shahpar is a graduate student at the University of Arkansas at Fayetteville. Their research focuses on statistical modeling, particularly in the context of environmental science and the use of computational acceleration. Shahpar has co-authored publications in 2025 concerning extreme precipitation and enhancing statistical modeling efficiency for wildfire aerosols using R and GPU acceleration. Their work involves collaboration with researchers such as Miaoqing Huang and Yaqian He, with whom they have shared multiple publications, indicating active engagement in research networks within the University of Arkansas system and beyond. Shahpar's recent activity suggests ongoing contributions to the field.
Metrics
- Publications: 3
Selected Publications
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Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration (2025)
Collaboration Network
Top Collaborators
- Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration
- Extreme precipitation
- Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration
- Enhancing Efficiency in Statistical Modeling of Wildfire Aerosols: A Heterogeneous Approach with R and GPU Acceleration
- Extreme precipitation
- Extreme precipitation
- Extreme precipitation
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