This Project Grant award for $180,000.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), aims to advance the mathematical understanding of trustworthy artificial intelligence (AI) algorithms for threat detection. The primary objectives are to investigate few-shot learning techniques, which can build effective models from a very limited number of data samples, and to explore few-shot graph generation methods,...
The Regents of the University of Minnesota received a $265,899 Project Grant award from the National Science Foundation Division of Mathematical Sciences on July 1, 2021 for optimal measures and point configurations research through June 30, 2024. The grant supports work under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increasing knowledge and enhancing understanding of...
The University of Michigan was awarded a $330,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) to support research titled "ATD: ALGORITHMIC THREAT DETECTION AND MITIGATION WITH ROBUST MACHINE LEARNING" from September 1, 2021 through August 31, 2024. The grant funding will allow the University of Michigan to conduct research focused on developing robust machine learning...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $107,860 Project Grant to the Regents of the University of Minnesota, Office of Sponsored Projects Administration, a non-profit 1862 land grant college, to conduct research under the NSF Mathematical and Physical Sciences program (CFDA 47.049). The research project will develop theoretical foundations for using machine learning methods to solve high-dimensional partial differential equations, emphasizing predictive...
Regents of the University of Minnesota was awarded a $280,000 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 beginning September 1, 2023 will support collaborative research into derived categories in birational geometry, enumerative geometry, and non-commutative algebra. Specifically, the university will investigate connections between derived categories...
The National Science Foundation Division of Mathematical Sciences awarded $285,000 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to the Regents of the University of Minnesota for a project grant titled "Critical Phenomena in Coherent Structure Formation." The grant supports research from July 15, 2022 to June 30, 2025 to develop new analytical and computational tools to systematically analyze, predict, and validate models of self-organized coherent...
This Project Grant from the National Science Foundation Division of Mathematical Sciences will fund the development of robust algorithms for analyzing corrupted data. Totaling $207,194, the award will support research from September 1, 2023 through August 31, 2028 under the Mathematical and Physical Sciences program. The grantee, Regents of the University of Minnesota, will design efficient algorithms using two methodologies. First, algorithms will assume underlying low-rank data structures...
The Regents of the University of Minnesota received a $506,505 Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under the award, the University will develop open-source tools for analyzing block polymer phase behavior...
The National Science Foundation Division of Mathematical Sciences awarded a $180,000 Project Grant to the Regents of the University of Minnesota under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The award will support research developing new statistical and probabilistic methods for random matrix theory with novel applications in statistics and econometrics. Specifically, the University of Minnesota investigator will study the approximation of Haar-invariant...
The Regents of the University of Minnesota was awarded a $495,872 Project Grant by the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049). The grant funds a 4-year research project to study novel 1D line defects in perovskite oxide materials using advanced scanning transmission electron microscopy (STEM) and density functional theory (DFT) analysis. The research aims to understand how factors like composition,...