Project Grant 2409951
- Federal Project Grant Award Summary The University of Maryland, College Park received a $420,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025, through July 31, 2028. This three-year research initiative focuses on developing computational tools and mathematical models for nonlinear geometric partial differential equations (PDEs) with applications to slender...
- Federal Grant Award Summary Lehigh University's Office of Research received a $219,328 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded August 1, 2025, with completion targeted for July 31, 2028. The project focuses on developing gradient-sampling-based algorithms designed to solve nonconvex, nonsmooth optimization problems that incorporate noisy or stochastic function and...
- The University of Maryland, College Park was awarded a $305,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049) and will support research applying harmonic analysis methods to non-convex optimizations and low-rank matrix analysis from September 2021 through August 2024. The University will leverage harmonic analysis techniques to advance solutions for challenging...
- This $275,000 Project Grant from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on optimization algorithms and digital twins constrained by partial differential equations (PDEs) that incorporate data to make decisions resilient to uncertainty. The research will develop: (1) inexact adaptive semismooth Newton and trust-region methods to solve these optimization problems; (2) primal dual...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded a $270,000 project grant to the University of Maryland, College Park, effective September 1, 2025, through August 31, 2028, under the Mathematical and Physical Sciences program (CFDA 47.049). This project develops applied harmonic analysis methods and tools to advance understanding of redundancy in mathematics and computational applications. The research delivers both theoretical frameworks...
- Federal Project Grant Award Summary The University of Maryland, College Park received a $140,000 Project Grant award, effective September 1, 2025, through August 31, 2028, from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). This collaborative research project develops rigorous theoretical foundations for amortized inference, a machine learning paradigm that enables efficient, real-time responses to...
- This $293,784 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental and applied research on fluctuating systems, random environments, and stochastic algorithms. The research aims to improve understanding and exploitation of randomness across diverse settings, including materials science, fluid dynamics, and machine learning. Key areas of focus include stochastic homogenization, stochastic partial...
- This National Science Foundation project grant of $250,000 will fund research at Rensselaer Polytechnic Institute from July 2022 to June 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports the development of accelerated distributed stochastic optimization methods and applications in machine learning. Specifically, the grantee will design fast-convergent and communication-efficient optimization algorithms with theoretical guarantees for solving...
- Federal Grant Award Summary This $100,000 Project Grant award, funded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), was awarded to Rutgers, The State University effective September 1, 2025, with an ultimate completion date of August 31, 2027. The project addresses the dynamics of cylindrical singularities in geometric flows and ancient solutions through rigorous mathematical analysis of nonlinear...
- This two-year, $251,672 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support research into non-smooth and non-Lipschitz Riemannian optimization methods. The grantee, Rice University, will study algorithmic approaches such as the manifold alternating direction method of multipliers and inertial manifold proximal gradient method to develop new tools for solving important classes of non-convex optimization...
This $250,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development and analysis of a novel class of first-order optimization methods called Low-Rank Gradient Flow (LRGF). The goal is to advance techniques for solving challenging non-convex optimization problems that arise in a wide range of applications such as computer-aided design, radiation therapy, manufacturing, inverse problems, and artificial intelligence. The project will contribute open-source software to enable reproducibility, and provide training opportunities for undergraduate and graduate students, with a focus on recruiting from underrepresented groups. The award recipient, the University of Maryland, Baltimore County (UMBC), has extensive experience delivering research and analytical services to federal agencies like NASA and DoD. The project period runs from June 2024 through May 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 6/3/24 |