Project Grant 2515732
- This $304,601 Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) supports research on the "Dynamical Aspects of Random Fluid Motion" at Tulane University. The project aims to develop new mathematical tools and techniques for analyzing the influence of random fluctuations on fluid behavior, including mixing properties and chaotic/unstable phenomena like turbulence. The research focuses on two...
- 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...
- The National Science Foundation (NSF) awarded a $146,350 Project Grant to The Trustees of the University of Pennsylvania (Penn) under the Mathematical and Physical Sciences program (CFDA 47.049) on July 1, 2023. The grant funding supports research aimed at broadening the understanding of the universality phenomenon of random matrices and developing new tools and techniques for additional applications of random matrix theory. Specifically, the project will explore two research directions: 1)...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $250,000 Project Grant to Yale University from September 1, 2023 to August 31, 2026 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports the development of a new perturbation theory to improve statistical analysis of large data matrices, particularly those with low-rank structure and random noise. Key anticipated outcomes include optimal error bounds for matrix parameters like...
- This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program aims to address theoretical challenges in high-dimensional probability, with a focus on applications in data science. The $239,966 award, made on July 15, 2025, will support research to develop rigorous mathematical frameworks for understanding the authenticity and privacy of synthetic data, as well as advancing non-spectral random matrix theory....
- This Project Grant award, valued at $370,000.00, was provided by the National Science Foundation (NSF) through its Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports fundamental and applied research to advance the understanding of random matrices, which have significant applications across physics, data science, and mathematics. The key objectives of this award are to: (1) develop new probabilistic techniques for the analysis of random matrix models and their...
- The National Science Foundation (NSF) awarded a $498,229 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Yale University. The grant will fund research to develop new mathematical and machine learning techniques for analyzing complex, high-dimensional biomedical data such as single-cell sequencing and gene regulatory networks. Key research thrusts include creating data geometric features and neural network models to characterize point cloud data, preserving...
- This National Science Foundation (NSF) Project Grant award, under the Mathematical and Physical Sciences (CFDA 47.049) program, will support research on stochastic methods and isoperimetric inequalities at Texas A&M University. The $238,406 award, active from July 2024 to June 2027, will develop techniques to bridge fundamental conjectures in Brunn-Minkowski theory and dual Brunn-Minkowski theory, with a focus on intersection bodies and higher-dimensional generalizations. The research aims...
- 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 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) focuses on developing new frequency domain modeling techniques for analyzing high-dimensional time series data. The $177,718 award to Southern Methodist University (SMU) will fund research to create a new modeling framework that enables dimension reduction and correlation analysis of large, complex time series datasets across disciplines such as neuroscience,...
The National Science Foundation (NSF) awarded a $199,626 Project Grant under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) to Tulane University for the project "MULTISCALE RANDOM MATRICES, INFERENCE AND LEARNING IN HIGH DIMENSIONS". The project aims to develop new methodologies for analyzing complex, high-dimensional data in areas such as genomics, astrophysics, and brain dynamics modeling. The research team, comprised of collaborators from the U.S. and France, will leverage multiscale random matrix theory to advance statistical learning and inference techniques for handling large-scale, non-stationary data. This project will contribute to training the next generation of data scientists and furthering research on critical national challenges in fields like neuroscience and artificial intelligence. The award period runs from August 1, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.6k | 7/21/25 |