Project Grant 2615436
- The National Science Foundation Division of Ocean Sciences awarded Woods Hole Oceanographic Institution $699,975 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop a physics-informed artificial intelligence method for estimating seafloor topography in coastal surf zones using remotely sensed drone imagery and surface current observations. The research addresses the limitation that accurate seafloor depth measurements are difficult to obtain during coastal storms, which...
- The National Science Foundation Office of Integrative Activities awarded Texas A&M University $340,975 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed artificial intelligence tools that estimate nearshore bathymetry, waves, and currents from remote sensing data. The project creates a physics-informed, remote-sensing-driven and AI-powered modeling (PRAM) system combining deep learning with physical constraints from wave mechanics to produce...
- The National Science Foundation Division of Ocean Sciences awarded the Regents of the University of Minnesota $648,690 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed artificial intelligence methods for estimating seafloor topography in coastal surf zones using drone-based camera imagery and surface flow observations. The project addresses a critical gap in measuring seafloor depth during and after coastal storms, where rapid morphological change limits...
- The National Science Foundation Office of Integrative Activities awarded North Carolina State University $800,013 on October 1, 2026, for a collaborative research project applying physics-informed deep learning to understand and predict coastal hypoxia formation mechanisms, particularly the summer dead zone along the Louisiana-Texas shelf. The project develops a multi-architecture physics-informed neural network framework integrating U-Net and DeepLabV3+ semantic-segmentation networks to map...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded $871,084 to Woods Hole Oceanographic Institution under the Geosciences program (CFDA 47.050) effective October 1, 2025, through September 30, 2028. This collaborative research project develops an innovative observing system that integrates artificial intelligence with multiple autonomous underwater vehicles (AUVs) to characterize three-dimensional flow structures in tidally-driven coastal...
- The National Science Foundation Office of Integrative Activities awarded the University of Rhode Island $332,242 on January 1, 2027, to develop artificial intelligence–powered tools that predict marine snow composition from underwater imagery, with performance through December 31, 2029, under the Geosciences program (CFDA 47.050). The project addresses the gap between camera-based particle detection and compositional analysis of sinking marine particles. Researchers will build an interpretable...
- The National Science Foundation Office of Integrative Activities awarded Northeastern University $350,000 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop machine learning models that accelerate hydrothermal flow simulations while preserving underlying physics. The project, titled HYDROTML, will generate thousands of physics-based simulations covering realistic ranges of rock properties, heat sources, and fluid conditions across meter-to-kilometer scales, then train...
- The National Science Foundation Office of Integrative Activities awarded the University of Hawaii at Manoa $502,183 on September 1, 2026, under the Geosciences program (CFDA 47.050) to develop computational tools for understanding coastal groundwater and ocean exchange using machine learning and artificial intelligence. The project will construct a next-generation computational framework combining neural operators with an open-source coupling framework to create hybrid physics-aware surrogate...
- The National Science Foundation Office of Integrative Activities awarded Brown University $688,223 on July 15, 2026, under the Geosciences program (CFDA 47.050) to investigate coupled atmospheric and oceanic processes driving sea level extremes in New England. Performance runs through June 30, 2029, with work based in Providence, Rhode Island. The project develops statistical and machine learning models to quantify predictability of extreme coastal flooding using large-scale climate and...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Northeastern University $348,826 on October 1, 2026, for collaborative research on energy-aware deployment and scheduling for sparse ocean sensor networks under the Engineering program (CFDA 47.041). The project develops mathematical tools and optimization strategies to improve how drifting ocean sensors are deployed and operated. Rather than using rule-of-thumb placement and reporting schedules that...
The National Science Foundation Office of Integrative Activities awarded Northeastern University $435,082 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that estimate nearshore bathymetry, waves, and currents from remote sensing data. The project, titled "Collaborative Research: CAIG: Transforming Understanding and Prediction of Nearshore Processes via AI-Powered Simultaneous Mapping of Bathymetry, Waves, and Currents," will create physics-informed neural networks and computer vision algorithms to derive high-resolution predictions of underwater conditions from optical and LIDAR imagery of the surf zone without requiring field personnel in hazardous conditions. The resulting physics-informed, remote-sensing-driven and AI-powered modeling (PRAM) system will combine deep learning with physical constraints from wave mechanics to estimate orbital velocities, undertows, and seafloor topography. The open-access system is intended to provide federal agencies, coastal engineers, and local planners with improved tools for predicting beach erosion and designing coastal defenses. The project will also provide hands-on training for students in coastal science and artificial intelligence. Performance takes place in Boston, Massachusetts, with a period of performance from October 1, 2026, through September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $435.1k | 7/30/26 |