Project Grant 2230161

Award Date 7/1/23
Completion Date 6/30/26
Dollars Obligated $346K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Newark, DE 19716, USA
Similar Awards
This three-year project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $254,145 to develop a new hypergraph signal processing framework based on tensor representations. The University of Kentucky Research Foundation will receive funding to support collaborative research between multiple researchers aiming to advance the use of tensor...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $287,125 to the University of Delaware to develop theoretical foundations for robust signal processing on spatial networks. The project aims to leverage techniques from harmonic analysis, functional analysis, and graph-limit theory to address challenges in information processing, particularly in the theoretical underpinning of graph signal...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $299,999 Project Grant to the University of California, Davis to support research titled "CCSS: HYPER-GRAPH SIGNAL PROCESSING FOR MULTIMEDIA DATA ANALYSIS IN CYBER SYSTEM APPLICATIONS." The three-year award, issued on June 1, 2021 with a completion date of May 31, 2024, will fund the development of hyper-graph signal processing techniques to enable advanced analysis of multimedia data...
This three-year Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), provides $150,000 to Bridgewater State University to support collaborative research on topics in abstract, applied, and computational harmonic analysis. The research aims to advance understanding of modern tools related to Fourier analysis and their application in data science, signal processing, and quantum...
This federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program provides $300,000 to Northeastern University to develop a novel approach called "Graphides" for analyzing and predicting phenomena using sparse graph data. The project aims to establish a rigorous theoretical framework for studying the limits and properties of sparse random graph models, with applications in areas such as...
This $794,738 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research into highly nonlinear and pseudorandom structures for communications and sensing at The University Corporation from October 1, 2022 to September 30, 2025. The awardee will investigate sequences, Boolean functions, and related mathematical structures that are significant for information theory and have applications in communications networks, remote...
This $360,000 National Science Foundation project grant supports research to advance graph signal processing techniques for electric power distribution system monitoring and control from July 2022 through June 2025. Funded under the NSF Engineering program (CFDA 47.041), the awardee Cornell University will develop a novel mathematical approach incorporating physical grid modeling into machine learning algorithms. The approach interprets system states as graph signals to extract features...
This three-year, $1.1 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop highly scalable and sample-efficient spectral methods for learning graph topologies from high-dimensional data samples. The grantee, the Trustees of the Stevens Institute of Technology, will investigate spectral graph densification frameworks to efficiently estimate attractive Gaussian Markov random fields. A unique feature of the learned...
This $300,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) will fund research into spectral methods for single and multiple graph inference networks. The grantee, North Carolina State University, will develop efficient parameter estimation methods for latent position graphs and valid two-sample testing procedures for comparing latent position graphs while ignoring irrelevant features. The...
This $330,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports collaborative research at the Massachusetts Institute of Technology (MIT) to accelerate the execution of large graph problems on large, distributed computing systems. The project aims to develop new algorithms, software frameworks, and specialized hardware to enable more efficient processing of graph...

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.

Core elements to be introduced through this work include hypergraph shifting operators, convolutions, Fourier analysis concepts adapted to hypergraphs including bandlimited signals, sampling and learning. Benefits of the new framework will be demonstrated in applications such as spectral clustering, denoising and classification. Additionally, educational modules on graph and hypergraph signal processing will be developed to introduce this emerging field at the University of Delaware, the sole awardee.

Generated 1/6/24, 4:29 PM