Project Grant 2208030
- This $365,274 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund the development of novel mathematical techniques and algorithms for designing cost-effective space-time sampling strategies and reconstruction methods for time-evolving functions on graphs. A diverse group of researchers from Northern Illinois University will work to analyze and manage various time-evolving processes sampled under realistic conditions and...
- 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 three-year project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $378,158 to Carnegie Mellon University to develop mathematical tools for data science and signal processing applications. Specifically, the awardee will investigate transportation-based geometries and gradient flows to provide sampling methods that leverage data geometry and can be accurately approximated in high dimensions. They will study ensemble methods...
- This three-year, $300,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) will support the development of statistical methods for learning the evolution of connectivity in complex time series data. Key products include estimation and inference methods for a Nonstationary Graphical Model framework called NonSTGM that captures nonstationary dynamics in multivariate systems through a sparse...
- This $229,461 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development and analysis of novel self-supervised probabilistic graph structure learning models. The goal is to uncover latent representations hidden within large datasets, which can provide valuable insights across diverse applications like cancer research and environmental analysis. The research will involve creating advanced mathematical models,...
- 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...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $100,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) from August 15, 2023 to July 31, 2026. The grant will support the development of a "Novel Distributed, Multi-Channel, Topology-Aware Online Monitoring Framework of Massive Spatiotemporal Data" called A-DMIT. This framework aims to advance online threat detection...
- This Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports research to develop novel mathematical models and efficient algorithms for deep learning on large-scale graph-structured data. The $249,999 award, spanning September 2024 to August 2027, aims to produce innovations in areas like graph convolutional networks, graph matching, and graph clustering. The research will involve graduate...
- This $149,989 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support research to develop statistical models and inference methods for analyzing random point processes. The research will provide tools for analyzing time series of point process data, with applications in fields such as national security, economics, neuroscience, and geosciences. Key activities include developing parameter estimation procedures,...
- The National Science Foundation (NSF) awarded a $200,000 Project Grant to Iowa State University of Science and Technology to develop new algorithms and a toolkit for analyzing spatiotemporal datasets to better understand human behavior and mobility patterns. The 3-year project, funded under the NSF Mathematical and Physical Sciences program (CFDA 47.049), aims to combine topological data analysis and time-frequency analysis to detect anomalies in datasets like volumetric traffic data and U.S....
This three-year, $585,744 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Vanderbilt University to develop novel mathematical techniques and algorithms for designing cost-effective space-time sampling and reconstruction strategies for time-evolving functions on graphs. A diverse team of PhD students, postdoctoral fellows, and senior researchers will study optimal sensor placement for data collection, space-time tradeoffs between sensor numbers and activation frequency, and methods for identifying parameters of evolutionary processes driving graph-based data. The investigators will extend dynamical sampling frameworks, set up and solve optimization problems for robust, affordable sampling patterns, and create efficient algorithms implementing theoretical solutions. Outcomes aim to enhance existing approaches and provide new mathematical tools and computational schemes offering practical solutions to basic inverse problems in signal processing and system identification on graphs.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $292.9k | 6/16/22 |