Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data. - Faxi Yuan; William Mobley; Hamed Farahmand; Yuanchang Xu; Russell Blessing; Ali Mostafavi; Samuel D. Brody (CoRR, 2021)

Examining Data Imbalance in Crowdsourced Reports for Improving Flash Flood Situational Awareness. - Miguel Esparza; Hamed Farahmand; Samuel D. Brody; Ali Mostafavi (CoRR, 2022)

MaxFloodCast: Ensemble Machine Learning Model for Predicting Peak Inundation Depth And Decoding Influencing Features. - Cheng-Chun Lee; Lipai Huang; Federico Antolini; Matthew Garcia; Andrew Juanb; Samuel D. Brody; Ali Mostafavi (CoRR, 2023)

ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images. - Yu-Hsuan Ho; Cheng-Chun Lee; Nicholas D. Diaz; Samuel D. Brody; Ali Mostafavi (ACM J. Comput. Sustain. Soc., 2024)

FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation. - Chia-Fu Liu; Lipai Huang; Kai Yin; Samuel D. Brody; Ali Mostafavi (CoRR, 2024)

High-Resolution Flood Probability Mapping Using Generative Machine Learning with Large-Scale Synthetic Precipitation and Inundation Data. - Lipai Huang; Federico Antolini; Ali Mostafavi; Russell Blessing; Matthew Garcia; Samuel D. Brody (CoRR, 2024)