Project Grant 2617116
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Delaware $579,891 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical and computational tools for modeling directed group interactions in complex systems. The project will create a unified framework for signal processing, structure learning, and neural network modeling on directed hypergraphs—network models whose...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Delaware $597,508 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations of hypergraph learning and characterize core features of hypergraph neural networks. The research will establish theoretical underpinnings for hypergraph learning methods that generalize standard graph learning by allowing edges to...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Kentucky Research Foundation $300,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop documentation-guided static analysis techniques for modern software applications. The project translates informal framework documentation into formal specifications, then uses those specifications to verify whether application code complies...
- The National Science Foundation Division of Mathematical Sciences awarded The University of Kentucky Research Foundation $235,971 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop structure-aware tensor recovery methods via deep operator learning. The project creates mathematical and computational methods integrating tensor representations with artificial intelligence to recover reliable information from incomplete, noisy, or corrupted...
- Federal Project Grant Award Summary The University of Kentucky Research Foundation received a $140,554 project grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded July 15, 2025, with completion targeted for June 30, 2026. The award supports the Center for Applied Artificial Intelligence (CAAI) initiative, which democratizes artificial intelligence training and access across Kentucky for geographically...
- The National Science Foundation Division of Computing and Communication Foundations awarded $499,928 to the College of William and Mary on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER project on graph dynamics in learning systems. The award funds development of graph learning algorithms that model and forecast behavior in dynamic connected systems—including coastal sensor networks, manufacturing workflows, and power grids—while...
- Federal Grant Award Summary Kennesaw State University Research and Service Foundation received a $149,644 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for collaborative research on "Sheaf Laplacian on Hypergraphs: From Theory to Applications." The grant, awarded September 1, 2025, with completion targeted for August 31, 2027, supports...
- The National Science Foundation Division of Mathematical Sciences awarded $202,898 to The University of Kentucky Research Foundation on September 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop geometry-aware methods for comparing distributional data in large-scale datasets. The project addresses computational efficiency in analyzing probability distributions arising from medical imaging, DNA sequencing, and physical experiments. The investigator introduces...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California, Santa Barbara $200,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for discovering higher-order scientific laws with deep learning. The award funds research on extending graph neural networks to model higher-order interactions in physical systems—interactions among components that extend...
- The National Science Foundation Division of Computing and Communication Foundations awarded North Carolina State University $300,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods for generalizable editing of foundation models, including large language models. The project investigates knowledge augmentation frameworks that enable foundation models to update stored facts more reliably and apply edits across related...
The National Science Foundation Division of Computing and Communication Foundations awarded The University of Kentucky Research Foundation $420,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical and computational tools for modeling directed group interactions in complex systems. The project creates a unified framework for signal processing, structure learning, and neural network modeling on directed hypergraphs, which are network models whose links connect sets of source nodes to sets of target nodes. Research activities include defining directed hypergraph operators that preserve source and target roles, prevent unintended mixing among target nodes, and support localized signal propagation; developing stable spectral methods for directed hypergraphs; advancing structure learning and neural network design on directed hypergraphs; and creating applications to biological signaling, medical reasoning, supply-chain resilience, scheduling, communication systems, and trustworthy artificial intelligence. The project contributes to education and workforce development through training of graduate and undergraduate researchers, release of open-source software, creation of example datasets and reproducibility materials, and expansion of instructional resources in network science, signal processing, and machine learning. Performance occurs in Lexington, Kentucky with an ultimate completion date of September 30, 2030. The award is structured as a collaborative research project grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $420.0k | 7/20/26 |