Project Grant 2606808
- Federal Grant Award Summary The University of California, Irvine received a $299,999 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program, effective August 15, 2026, with completion targeted for July 31, 2029. This award funds fundamental research in discrete approximation theory and analysis on discrete and Gaussian spaces, with applications to modern data science, quantum computation, and...
- Federal Project Grant Award Summary The University of California, Irvine received a $239,966 project grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 – Mathematical and Physical Sciences program) awarded July 15, 2025, with a completion date of June 30, 2027. The award supports research addressing theoretical challenges in high-dimensional probability with applications to data science. The research deliverables include development of rigorous...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded a $100,000 Mathematical and Physical Sciences (CFDA 47.049) Project Grant to the University of California, San Diego, effective August 1, 2025, through July 31, 2028. This collaborative research award supports theoretical and applied investigations into the generalization of diffusion and flow-based generative models through geometric perspectives. The research delivers foundational mathematical tools and frameworks that...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $175,000 to the University of California, Irvine under the Mathematical and Physical Sciences (CFDA 47.049) program on August 15, 2025, for a project addressing data integration challenges in heterogeneous datasets. The award supports the development and validation of the Representation Retrieval (R2) framework, a novel methodology that simultaneously addresses distribution shift, posterior...
- Federal Grant Award Summary The University of California, Irvine received a $465,777 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded July 1, 2026, through June 30, 2029. This research initiative develops hypothesis-based interpretability methods that integrate classical mathematical insights with modern machine learning to improve prediction accuracy for T cell signaling models. The project addresses a critical gap in computational...
- Federal Grant Award Summary The University of California at Riverside received a $381,347 Project Grant award effective October 1, 2025, through September 30, 2029, from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This collaborative research initiative develops robust computational imaging methods that address the critical challenge of distribution shifts between...
- Federal Project Grant Award Summary This collaborative research project, funded by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance artificial intelligence (AI) and mathematics through synergistic research methodologies. The award of $128,920, initiated January 1, 2026, and concluding December 31, 2028, supports the development of AI models capable of...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded a $133,285 Project Grant to the University of California, Berkeley, effective June 1, 2026 through May 31, 2029, to develop calibrated hypothesis testing methodologies for large-scale scientific inference. The research will advance statistical tools that provide individual findings with interpretable, rigorous error probability guarantees—ensuring that findings assigned a...
- Federal Project Grant Award Summary The University of California, Irvine received a $225,000 Project Grant awarded October 1, 2025, under the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070), Division of Information and Intelligent Systems. This collaborative U.S.-France research initiative will deliver integrated computational modeling, mathematical analysis, and experimental validation investigating the role of astrocytes as contextual...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences has awarded the University of California, Los Angeles $120,000 under the Mathematical and Physical Sciences (CFDA 47.049) program for a collaborative research project spanning June 1, 2026 through May 31, 2029. This project develops statistical theory and computational methodology for inferring rates of change and gradients in spatiotemporal datasets, with particular application to...
The University of California, Irvine received a $209,660 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period August 1, 2026 through July 31, 2029. This award funds research to develop mathematical and artificial intelligence methodologies that advance imaging technologies for medical, seismic, remote sensing, and astronomical applications. The project establishes rigorous mathematical foundations for generative AI techniques and Bayesian inverse problems in infinite-dimensional settings, with emphasis on improving uncertainty quantification and computational efficiency in wave propagation through complex media. The research deliverables include new mathematical theory and algorithms for stochastic differential equations and sampling dynamics that efficiently approach conditional probability distributions informed by observational data. The work incorporates optimal annealing strategies, preconditioning methods, and generalized Lévy driving processes to enhance sampling robustness. A particular emphasis is placed on magnetic resonance elastography and tissue imaging applications. Through this interdisciplinary research initiative, the project trains graduate and undergraduate students while strengthening connections among mathematics, physics, engineering, and data science disciplines, with intended applications to improved biomedical imaging for early disease diagnosis and malignant tissue identification.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $209.7k | 5/19/26 |