Project Grant 2617115
- 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 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,...
- Federal Grant Award Summary The University of Delaware received a $287,125 project grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) effective October 1, 2025 through September 30, 2028. This award supports theoretical research in Graph Signal Processing (GSP), a computational discipline that analyzes data signals residing on irregular graphs and networks rather than regularly arranged homogeneous spaces. The investigator will...
- The National Science Foundation Division of Mathematical Sciences awarded a $240,002 Project Grant to the University of Delaware from September 1, 2021 to August 31, 2024 under the Mathematical and Physical Sciences (47.049) federal grant program. The grant supports research into Neural Network Learning for Graph Data. The University of Delaware will develop methodologies, theoretical frameworks, and perform simulation and experimentation to advance the mathematics and science of graph neural...
- The National Science Foundation Division of Behavioral and Cognitive Sciences awarded the University of Delaware $235,384 on July 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to develop AI-enabled assessment tools and a comprehensive database supporting mathematics education research and teacher practice. The award funds compilation of fine-grained student learning and error data spanning grades 4–10 from over 3,500 students and 700,000 work samples. The...
- This three-year, $345,853 project grant from the National Science Foundation's Division of Computing and Communication Foundations will support the development of a new hypergraph signal processing framework via tensor representations. Funded under the Computer and Information Science and Engineering program, the collaborative research aims to advance tools for exploiting multi-way interactions in complex data using hypergraphs rather than solely pairwise relationships as in simple graphs....
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $238,061 to the University of Delaware from August 15, 2024 to July 31, 2027. The award supports the Principal Investigator's research to develop a systematic mathematical approach for analyzing and visualizing large complex networks, such as social networks, biological networks, and neural cell networks. The key research objectives include...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Delaware $536,330 on October 1, 2026, to develop next-generation satellite lidar sensing, neural compression, and accelerated neural inference capabilities under the Engineering program (CFDA 47.041). The project addresses three interconnected limitations in current satellite lidar systems: low photon detection rates, constrained data transmission capacity, and substantial computing...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $182,588 Project Grant to the University of Delaware for research titled "CIF: SMALL: FUNDAMENTAL LIMITS IN AMBIGUOUS COMMUNICATION." The three-year award period runs from July 1, 2021 through June 30, 2024. The grant is funded through the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of...
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 links connect sets of source nodes to sets of target nodes. The research addresses limitations in existing network models that oversimplify group interactions into pairwise relationships, obscuring the direction of influence. The team will define directed hypergraph operators that preserve source and target roles, prevent unintended mixing among target nodes, and support localized signal propagation. The project will also develop stable spectral methods for directed hypergraph analysis and design neural networks that respect the structure of directed hypergraphs while enabling end-to-end learning. The resulting methods will enable better analysis, prediction, and interpretation of connected data in biological signaling, medical reasoning, supply-chain resilience, scheduling, communication systems, and trustworthy artificial intelligence. The project includes education and workforce development through graduate and undergraduate researcher training, open-source software release, example datasets and reproducibility materials, and expanded access to instructional resources in network science, signal processing, and machine learning. Performance occurs in Newark, Delaware, with a period of performance from October 1, 2026, through September 30, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $579.9k | 7/20/26 |