Project Grant 2505204
- The National Science Foundation Division of Mathematical Sciences awarded a $149,783 Project Grant to Texas A & M University from July 2021 through June 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds research titled "CDS & E-MSS: OPTIMAL RECOVERY IN THE AGE OF DATA SCIENCE" to promote progress in the mathematical and physical sciences. Specifically, the university will leverage data science techniques to advance understanding of major...
- The National Science Foundation awarded a $225,000 Project Grant to Texas A&M University under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of November 1, 2021 through October 31, 2024. The grant funds collaborative research on new perspectives for deep learning by bridging approximation, statistical, and algorithmic theories. The Mathematical and Physical Sciences program aims to advance scientific knowledge and understanding in core areas of mathematics and...
- 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...
- The National Science Foundation awarded a $266,748 Project Grant to the University of Houston under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research from September 2023 through August 2026 related to establishing recovery guarantees for sparse signal reconstruction from noisy measurements when the signals are generated using structured sparsity and dictionaries with geometric conditions. The research aims to develop machine learning...
- The National Science Foundation awarded a $250,000 Project Grant to the Texas A&M Engineering Experiment Station to support research titled "Collaborative Research: Consensus and Distributed Optimization in Non-Convex Environments with Applications to Networked Machine Learning." The award is part of the NSF Engineering program (CFDA 47.041), which aims to foster innovation and excellence in engineering research. Under the three-year award concluding in July 2026, the Texas A&M...
- The National Science Foundation awarded a $199,581 Project Grant to Texas A&M University under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant supports research focused on using curvature-like inequalities to study the distortion of geometric structures when mapped into curved spaces. The research aims to develop new metric invariants that capture the geometry of graphs and characterize local and asymptotic properties of Banach spaces. The project will...
- The National Science Foundation Division of Mathematical Sciences awarded Texas A&M Engineering Experiment Station a $180,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) from August 1, 2023 through July 31, 2026. The award will support research to develop a systematic approach for constructing deep Bayesian neural networks that are both computationally efficient and amenable to model designs. The research is expected to lead to...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) supports the development of novel Bayesian thresholding and shrinkage methods for extracting meaningful information from large, noisy datasets across diverse scientific and engineering domains. The $100,123 award to Texas A&M University, which runs from Sep 1, 2025 to Aug 31, 2028, focuses on advancing statistical techniques for signal recovery and noise reduction in multiscale...
- The National Science Foundation awarded a $249,460 project grant to Texas A&M University from July 1, 2021 to June 30, 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The university will research the geometry of graphs and Banach spaces over this three-year period. The Mathematical and Physical Sciences program aims to advance these fields and strengthen the nation's scientific enterprise through increased knowledge and understanding of major problems. This...
- This $227,796 Project Grant awarded by the National Science Foundation's (CFDA 47.049 - Mathematical and Physical Sciences) focuses on developing new mathematical techniques to more effectively analyze signals by carefully isolating their distinct parts in time, space, or frequency. The research aims to improve understanding of spatio-spectral limiting operators, which can significantly enhance everyday technologies like MRI machines, wireless communications, and scientific imaging. In...
The National Science Foundation (NSF) awarded a $239,850 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Texas A&M University for the project "Modern Optimal Recovery: Enriched, Nonconvex, Dynamical". The project aims to further develop the mathematical framework of "optimal recovery" to provide guarantees for function learning and recovery under realistic modeling assumptions. The research will extend optimal recovery theory to functions with more complex outputs, explore non-convex models including neural networks, and study the recovery of dynamical objects like graphs. The project is expected to have implications in fields where average-case guarantees are insufficient and worst-case guarantees are required, such as defense, medicine, and transportation. The award period is from August 15, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $239.9k | 8/6/25 |