Hosseinpour, Farnaz
Assistant Research P...
Atmospheric Sciences
Division of Atmospheric Sciences
Artificial Intelligence, Machine Learning, Deep Learning, Physics-Informed Artificial Intelligence, Physics-Informed Machine Learning, Hybrid AI–Physics Modeling, Digital Twin Frameworks, Hierarchical Modeling, Probabilistic Modeling, Probabilistic Forecasting, Multi-Source Environmental Data Fusion, Data Assimilation, Multiscale Physical Modeling, Satellite Remote Sensing, Earth Observation, Environmental Intelligence, Geospatial Intelligence, High-Dimensional Environmental Data Analytics, High-Performance Computing, Uncertainty Quantification, Bias Correction, Model Calibration, Model Evaluation, Model Validation, Atmospheric Modeling, Fire–Weather Modeling, Air-Quality Modeling, Earth System Modeling, Coupled Fire–Atmosphere Modeling, Wildfire Prediction, Wildfire Behavior, Fire Emissions, Smoke Emissions, Smoke Transport, Smoke Exposure Assessment, Smoke Risk Assessment, Prescribed Fire, Biomass Burning, Aerosols, Atmospheric Composition, Aerosol–Cloud–Radiation Interactions, Air Quality, Background Ozone, PM2.5, Climate-Related Hazards, Environmental Extremes, Vegetation Greenness, Vegetation Health, Humidity Variability, Drought, Land–Atmosphere Interactions, Decision-Support Systems, Research-to-Application Frameworks.
Faculty and Students
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