Ali Haider PhD Candidate, Civil Engineering, CCNY Proposal Title: AI-Driven Multi-Sensor Modeling Framework for Urban Flood Prediction and Mapping in Data-Scarce Environments Ali’s research sits at the forefront of remote sensing, machine learning, and urban resilience. His work aims to develop innovative,
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Marc Crampe, PhD in Civil Engineering-Water Resources at CCNY, CUNY CREST Institute and UNU Hub-R-SIRUS Marc’s research focuses on improving short-term precipitation forecasting to enhance urban flood resilience in New York City, with a particular emphasis on convective storm nowcasting. He
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CREST congratulates its doctoral student, Ms. Fatemeh Yavari (Civil Engineering), for successfully completing the prestigious Water Prediction Innovators Summer Institute internship on July 25, 2025. The institute, jointly organized by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)
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