Project Grant 2615437
- 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...
- 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 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...
- 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 Louisiana State University $249,862 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed deep learning models for understanding and predicting coastal hypoxia formation mechanisms on the Louisiana-Texas shelf. The project runs through September 30, 2029, with place of performance in Baton Rouge, Louisiana. The work applies machine learning to coastal oxygen-loss prediction by...
- The National Science Foundation Office of Integrative Activities awarded Texas A&M University $718,221 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools for analyzing dense seismic array data. The project will create a geometry-aware self-supervised learning framework to process temporary dense-array seismic recordings from Oklahoma, Texas, and Hawai'i. The framework will learn representations from paired time-domain and frequency-domain...
- This $302,035 Project Grant awarded by the National Science Foundation (NSF) Division of Ocean Sciences under the Geosciences program (CFDA 47.050) will fund an observational study at Texas A&M University to quantify the impact of nearshore processes on air-sea momentum transfer. The project aims to identify and systematically measure coastal processes and features that alter nearshore air-sea momentum exchange, leveraging an extensive data set collected at the Army Field Research Facility...
- The National Science Foundation Office of Integrative Activities awarded Massachusetts Institute of Technology $898,723 on September 1, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that combine physics-based models with high-resolution topographic data to forecast landscape evolution and erosion. The project will construct a hybrid simulation-to-real framework in which physics-informed generative AI models trained on landscape evolution simulations...
- The National Science Foundation Office of Integrative Activities awarded the University of Texas at Austin $450,000 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. The project will create a next-generation computational framework that combines neural operators with an open-source coupling framework to build hybrid physics-aware surrogate models emulating...
- The National Science Foundation Office of Integrative Activities awarded the University of South Alabama $247,885 on February 1, 2027, under the Integrative Activities program (CFDA 47.083) to support an EPSCOR Research Fellows project developing physics-informed artificial intelligence methods for estuarine prediction and data assimilation. The recipient will provide a fellowship to a research assistant professor and training for a graduate student to investigate physics-informed AI and machine...
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 high-resolution predictions of subsurface ocean conditions using surface observations alone. The system employs physics-informed neural networks and computer vision algorithms to process optical and lidar remote sensing data of the surf zone, enabling estimation of orbital velocities, undertows, and seafloor topography without requiring in-water measurements during hazardous conditions. The resulting open-access system supports federal agencies, coastal engineers, and local planners in predicting beach erosion and designing coastal defenses. The project includes workforce development through hands-on training that prepares students for work at the intersection of coastal science and artificial intelligence. Performance occurs at Texas A&M University's College Station, Texas facility through September 30, 2029. The award is assistance type Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $341.0k | 7/30/26 |