Project Grant 2616258
- 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 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 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 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 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 Duke University $237,642 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop an artificial intelligence-driven framework for optimizing coastal management decisions under uncertainty. The project combines geomorphic modeling with reinforcement learning to create an adaptive decision-making framework that examines how barrier islands evolve under multiple sources of uncertainty, including both human...
- Federal Project Grant Summary The National Science Foundation (NSF) Office of Integrative Activities awarded $374,799 to the University of Maryland Baltimore County under the Geosciences program (CFDA 47.050) effective September 1, 2025, through August 31, 2028. This collaborative research project will develop physics-informed deep learning models to predict vertical distributions of biogeochemical and physical properties in ocean environments, with particular focus on detecting deep chlorophyll...
- The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Geosciences Program (CFDA 47.050) to the University of Delaware. The funding will support collaborative research to empower artificial intelligence (AI) to reveal phytoplankton community dynamics in coastal oceans. The project aims to address the scarcity of in-situ data for estuarine-coastal phytoplankton by constructing a large-scale database of phytoplankton observations, enabling global data sharing. It will...
- 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 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 spatial hypoxia patterns, dynamic graph neural networks to represent oxygen-transport pathways derived from high-resolution circulation models and neural operator-based ocean digital twins, and a third component ensuring mechanistic understanding of hypoxia formation. Work is performed in Raleigh, North Carolina, with a period of performance from October 1, 2026, through September 30, 2029. The award funds graduate and undergraduate student training, development of educational materials for K-12 and graduate students distributed through an artificial intelligence-powered learning platform, and release of all data, software, and trained models as open-source resources. The project enables faster, more reliable forecasts to support fisheries management and nutrient-reduction efforts benefiting Gulf Coast communities and resource managers. The funding falls under NSF's Geosciences program (CFDA 47.050), which supports basic research expanding fundamental knowledge and understanding of the integrated Earth system.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $800.0k | 7/31/26 |