معرفی
Dimple Pruthi is a Research Fellow in the Gangarosa Department of Environmental Health at Emory University. Her work focuses on advanced computational methods for air quality prediction, integrating machine learning, satellite data analytics, and environmental modeling. She specializes in PM2.5 forecasting, wildfire impact analysis, and sustainable pollution monitoring systems.
Her research interests include developing hybrid machine learning models for environmental applications, analyzing transient weather effects on pollution, and optimizing neuronal networks for air quality indices. She has extensively studied Delhi's air quality dynamics and California wildfires' particulate matter emissions.
Key trends in her publications (2016–2025) reveal a focus on satellite-based PM2.5 prediction using GOES-R data, low-cost sensor systems, and fractal/wavelet analysis for pollutant variability. She combines computational techniques with environmental science to address urban pollution challenges and climate change impacts.
No scientific awards or grants are explicitly listed. Her advising record is not provided, but her work contributes to environmental health policy through predictive modeling frameworks.
