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Ebrahim Ahmadisharaf
Florida State UniversityMeeting roles in:
Advancing Flood Characterization, Modeling, and Communication I Oral
Sensitivity Analyses of a 2D Rain-on-Grid Hydrodynamic Model for Simulating Extreme Compound Coastal Flood Events
Satellite-Based Marine Microplastic Detection Using Machine Learning Algorithms
Advancing Flood Characterization, Modeling, and Communication II Oral
Projecting Compound Pluvial, Fluvial and Coastal Flood Inundation in Coastal Watersheds under Future Climate: The Importance of Wind and Value of 2D Rain-on-Grid Hydrodynamic Models
Advancing Flood Characterization, Modeling, and Communication III Oral
Advancing Flood Characterization, Modeling, and Communication IV Poster
Long-Term Modeling of Physiochemical and Nutrient Parameters in a Regulated Coastal Basin Using a Spatially-Distributed Long Short-Term Memory Model
Reducing bias of ensemble tree-based regression algorithms in environmental modeling
Monitoring, Prediction, and Mitigation of Harmful Algal Blooms (HABs) I Oral
Monitoring, Prediction, and Mitigation of Harmful Algal Blooms (HABs) II Poster
Modeling Karenia brevis Bloom Occurrence in the US Gulf Using Historical Observations and Machine Learning Approaches
Evaluating Gridded Datasets for Representing the Intensity of Sub-daily Rainfall Events across Florida
Suitability of Various Gridded Datasets for Representing Sub-daily Rainfall Event Properties across the US Gulf Coast
Utilizing NASA datasets to understand causes of river flooding in near-natural watersheds
On the relationships between antecedent precipitation and soil moisture in inland watersheds
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