Project Grant 2309683
Award Date
7/1/23
Completion Date
6/30/26
Dollars Obligated
$340K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Baltimore, MD 21218, USA
Similar Awards
This $450,287 Project Grant was awarded by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports research at The Johns Hopkins University to advance the theory of harmonic maps, which have practical applications in areas like medical imaging and computer vision. Specifically, the research focuses on three key areas: (1) developing non-abelian Hodge theory to connect topological data of Kähler...
The National Science Foundation awarded The Johns Hopkins University a $600,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) from October 1, 2021 to September 30, 2025. The grant funds collaborative research on developing high-affinity supramolecular peptide materials for the selective capture and recovery of proteins. The Mathematical and Physical Sciences program aims to advance scientific knowledge and enhance understanding of major problems through support...
The National Science Foundation awarded The Johns Hopkins University a $289,999 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to support research titled "Geometric and Microlocal Study of Automorphic Periods" from July 1, 2021 to June 30, 2024. This funding will allow researchers at Johns Hopkins University to advance understanding of major problems in mathematics by conducting research into the geometric and microlocal properties of automorphic...
The National Science Foundation awarded a $300,000 Project Grant to The Johns Hopkins University from September 1, 2021 through August 31, 2024 under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support collaborative research to deploy curvilinear coordinate and multipatch methods on neutron star mergers. The Johns Hopkins University will leverage the funding to advance scientific understanding of major problems in astrophysics, such as modeling compact binary...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $179,327 to The Johns Hopkins University for a 5-year research project titled "CAREER: Symmetries and Classical Physics in Machine Learning for Science and Engineering." The project aims to develop new mathematical and computational techniques to further exploit symmetries and differential geometry in the design of machine learning models,...
This $160,118 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program will support The Johns Hopkins University in developing fast and accurate machine learning algorithms with interpretable mechanisms for learning from complex datasets. The project aims to close the theoretical and computational gap between data-independent and data-adaptive random partitioning methods in machine learning, by utilizing and expanding the toolkit of...
The National Science Foundation awarded The Johns Hopkins University a $320,648 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will support research into various aspects of the theory of partial differential equations as they relate to the dichotomy between regularity and singularity formation. The Principal Investigator will pursue research in regularity theory and geometric properties for partial differential equations arising in the theory of...
This $305,850 federal Project Grant award was provided by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The project aims to advance the analysis and comparison of relaxed shape matching problems, investigate supervised and unsupervised deep learning approaches to improve the efficiency of manifold registration algorithms, and study extensions to account for partial or incomplete data and...
The Johns Hopkins University received a $150,000 Project Grant award from the National Science Foundation Division of Materials Research on August 15, 2021 to support research efforts concluding January 31, 2023. The grant funds research under the Mathematical and Physical Sciences program (CFDA 47.049) to understand the molecular determinants of mucus penetrating zwitterionic bottlebrushes. The program aims to advance mathematical and physical sciences knowledge and address major problems...
The National Science Foundation awarded a $491,408 Project Grant to The Johns Hopkins University for research titled "CAREER: STATISTICAL APPROACHES AND COMPUTATIONAL TOOLS FOR ANALYZING SPATIALLY-RESOLVED SINGLE-CELL TRANSCRIPTOMICS DATA." The grant was awarded on July 15, 2021 under the Biological Sciences program (CFDA 47.074) to promote progress in the biological sciences and strengthen understanding of major problems facing the nation. The research aims to develop statistical...