Project Grant 2230162
Award Date
7/1/23
Completion Date
6/30/26
Dollars Obligated
$254K
Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Lexington, KY 40526, USA
Similar Awards
This $287,125 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of theoretical foundations for robust signal processing on spatial networks. The University of Delaware, the prime recipient, plans to leverage techniques from harmonic analysis, functional analysis, and graph-limit theory to address challenges in information processing, particularly in the theoretical...
This five-year, $7.3 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The University of Utah will receive funding to collaborate with other researchers on advancing tensor computations, which are fundamental to large-scale parallel software applications in scientific computing and machine learning. Key deliverables...
This $150,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on novel data visualization techniques based on tensor fields. The project aims to develop mathematical models and efficient algorithms for the visualization of dynamic tensor fields, which have applications in areas such as natural disaster modeling, structural stability analysis, and medical research. The core research...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $250,000 to Iowa State University of Science and Technology will support collaborative research to develop scalable, robust, and distributed nonconvex approaches for structured tensor recovery. The three-year project aims to advance the field of tensor analysis to address key challenges in modern data science across applications such as signal processing, biomedical imaging, machine learning, and quantum...
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 $300,001 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of a novel dynamic matrix factor model for non-Gaussian tensor time series data. The research, conducted by Rutgers, The State University, aims to advance analytical tools for diverse data types such as geo-political events, crime statistics, and transportation/trading networks. The dynamic factor models extract insights from the...
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, $260,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Duke University on large deviations and extremes for random matrices, tensors, and fields. The grant aims to advance understanding of rare events and extreme values through analysis of nonlinear functions of random hypergraphs and matrices, with a focus on applications to social networks and reaction-diffusion systems modeling invasive...
This National Science Foundation (NSF) Project Grant award, titled "COLLABORATIVE RESEARCH: PPOSS: LARGE: CROSS-LAYER COORDINATION AND OPTIMIZATION FOR SCALABLE AND SPARSE TENSOR NETWORKS (CROSS)," is funded through the NSF Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $3,033,782 award, effective September 15, 2023, supports research to develop efficient tensor networks, especially for sparse data prevalent in real-world applications. The project...
This $250,000 Project Grant award from the National Science Foundation's Engineering Program (CFDA 47.041) supports collaborative research at The Ohio State University (OSU) focused on scalable, robust, and distributed approaches for recovering low-dimensional tensor representations from incomplete measurements. The project aims to develop computationally and statistically efficient optimization methods that can directly operate on the low-dimensional tensor structures, overcoming challenges...