Flood Digital Twins, AI/ML, and Real-Time Sensing session in AGU26

[Erfan Amini]

Dear Colleagues,

We warmly invite you to submit your work to our session:

Digital Twins for Coastal and Urban Flood Dynamics: From Real-Time Sensing to Decision Support

Invited Speakers:
Dr. Brett Sanders, University of California, Irvine
Dr. Jie Gong, Rutgers University

AGU26: December 7–11, 2026 | San Francisco, CA

Session details: agu.confex.com/agu/agu26/prelim.cgi/Session/283024

Abstract Submission Deadline: Wednesday, 05 August 2026 at 23:59 EDT/03:59 UTC

We welcome contributions on:

• Digital twin architectures for compound flood modeling in coastal and urban systems
• Real-time data assimilation and uncertainty quantification
• GPU-accelerated and surrogate model approaches
• IoT and remote sensing integration
• Decision-support applications for flood risk management and infrastructure resilience
• Smart stormwater control and green infrastructure optimization

Cross-listed with Informatics (IN) and Natural Hazards (NH).

We look forward to your submissions and to seeing you at AGU26!

Best regards,
Conveners:
Erfan Amini (Columbia University) | Hugo Ulloa (University of Pennsylvania) | Lei Zou (Texas A&M University) | Reza Marsooli (Stevens Institute of Technology) | Mehrdad Baniesmaeil (Stevens Institute of Technology)