Project Grant 2510216
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $270K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
College Park, MD 20742, USA
Similar Awards
- 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 federal Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) provides $140,000.00 to develop a rigorous theoretical foundation for amortized inference, a novel paradigm in machine learning, statistics, and simulation. The research project aims to (1) deepen the understanding of the mathematical principles underlying amortized inference and (2) design improved methods with provable guarantees. Key objectives include...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $210,000 in funding to the University of Maryland, College Park (UMD) from July 1, 2025 to June 30, 2028. The research project focuses on microlocal analysis and Monge-Ampere type equations in geometry. Key areas of focus include investigating the existence of canonical shapes and structures on manifolds or geometric spaces, exploring connections between complex...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA Number 47.070, will support a $599,963 research project by the University of Southern California (USC) from January 1, 2025 to December 31, 2027. The project will explore a new mathematical lens based in combinatorics, optimization, and graph theory to deepen the understanding of machine learning and guide the development of improved algorithms. The...
- 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...
- This $153,999 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program supports fundamental research in harmonic analysis and related fields of complex variables and non-homogeneous settings. The research examines questions in harmonic analysis, a major branch of mathematical analysis, with a focus on developing novel techniques and applying them to problems in complex analysis and operator theory. The award also includes a...
- The University of Maryland, College Park will use $125,902 from a Project Grant awarded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a mathematical foundation for novel artificial intelligence learning algorithms with applications in biology and engineering. Specifically, the university researchers will establish a theoretical framework for minimizing and maximizing a machine learning...
- This federal Project Grant award of $100,000.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports research on advanced probabilistic models and their application to cutting-edge machine learning techniques. The research aims to bring mathematical rigor and develop new methods related to complex systems in areas such as image processing, reinforcement learning, and generative AI. Key focus areas include: 1) extracting...
- This National Science Foundation Project Grant award of $424,370 provides funding over five years from June 2022 through May 2027 under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports research at the University of Maryland, College Park to advance fundamental knowledge of dynamical systems through the study of long-term behavior of parabolic systems, which display sub-exponential divergence of orbits in contrast to hyperbolic systems. The...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) will explore new ways to address complex mathematical problems by integrating advanced machine learning techniques with automated reasoning. The $418,035 grant awarded to Carnegie Mellon University will support a collaborative research effort between mathematicians and computer scientists to develop and evaluate new algorithms for solving three specific open...