Project Grant 2113375
- Project Grant Summary The University of Texas at Austin received a $175,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective August 15, 2025, with completion anticipated by July 31, 2028. This award funds the development of novel Bayesian hierarchical frameworks designed to address measurement error problems in complex multivariate data analysis. The project delivers advanced...
- This National Science Foundation Project Grant of $199,999 will support the development of modern spatial and shape analysis methods for heterogeneous high-dimensional geospatial data. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the award will be carried out from July 2022 through June 2025 by the University of Texas at Dallas. Specifically, the Principal Investigator will create three modeling frameworks to analyze heterogeneous geospatial data at different...
- The University of Texas at Austin was awarded a $409,550 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The three-year award running from July 1, 2021 to June 30, 2024 will support research developing models and algorithms for optimal vision-based surveillance and exploration of complex environments. The funding will enable work advancing scientific understanding of major...
- Federal Project Grant Award Summary The University of Texas at Austin received a $227,796 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for collaborative research on spectral analysis of limiting operators in higher dimensions. The award, effective August 1, 2025 through July 31, 2028, will support the development of advanced mathematical techniques for analyzing signals in multiple...
- The University of Texas at San Antonio received a two-year, $622,955 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support research titled "Collaborative Research: Algebraic Framework of Compositional Functions for New Structure, Training, and Explainability of Deep Learning." The research aims to develop new techniques for deep learning model...
- The University of Texas at San Antonio (UTSA) received a $364,985 Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) for a three-year period starting August 1, 2023. The project will develop scalable similarity search systems for large polygonal and trajectory datasets, focusing on methods for creating robust data signatures, quantization techniques, and...
- Grant Award Summary The University of Texas at San Antonio (UTSA) received a $429,040 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) to develop computationally efficient hypercomplex variable-based sensitivity methods for rapid digital twin (DT) model updating. The award, dated September 15, 2025, with completion scheduled for August 31, 2028, addresses a critical technical barrier in digital twin applications:...
- Federal Project Grant Award Summary The University of Texas at Austin received a $320,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2026, with completion targeted for July 31, 2029. This award funds the development of fast randomized algorithms designed to solve large-scale computational problems in scientific computing and engineering applications. The project...
- Federal Project Grant Award Summary The University of Texas at Austin received a $311,780 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded on July 1, 2025, with completion targeted for June 30, 2028. This award supports fundamental research on Benjamini-Schramm convergence and aspects of ergodic theory applied to non-amenable groups. The research project focuses on three primary objectives: identifying explicit non-sofic unimodular...
- 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,...
The University of Texas at San Antonio received a $159,996 Project Grant award from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 to carry out the "DEFAULT BAYESIAN ANALYSIS OF SPATIAL DATA" project through July 31, 2024. The grant is being administered under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in the mathematical and physical sciences and strengthen the nation's scientific enterprise through increasing scientific knowledge and enhancing understanding of major problems confronting the nation. Specifically, the funding will support the development and application of default Bayesian methodology for the analysis of spatial data, advancing scientific knowledge in this area through July 2024.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $160.0k | 6/23/21 |