Project Grant 2152704
- This $100,000 three-year Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research to advance numerical methods for large-scale inverse problems, sparse principal component analysis, and their applications. The awardee, Emory University, will collaborate with other institutions to develop novel approaches merging inverse problems, randomized numerical linear algebra, and sparse principal component analysis. This will...
- This $275,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences supports the development of novel approaches to solving inverse problems. The goal is to enhance the accuracy and efficiency of computational methods used in critical applications like electrical impedance tomography, inverse scattering, and cryo-electron microscopy. This research has the potential to accelerate breakthroughs in molecular biology and rapid drug development, directly...
- This $170,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at North Carolina State University (NC State) to develop new randomized algorithms for solving large-scale inverse problems and quantifying uncertainty in hierarchical Bayesian models. The key research objectives are: (i) to create efficient algorithms for quantifying uncertainty in the hyperparameters governing Bayesian inverse...
- This $170,000 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences supports research on developing randomized algorithms for solving inverse problems and quantifying uncertainty in hierarchical Bayesian and dynamical inverse problems. Key goals include: (i) creating efficient algorithms to estimate uncertainty in the hyperparameters that govern Bayesian inverse problems, and (ii) developing new iterative methods leveraging randomization to...
- Purdue University was awarded a $100,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of August 1, 2022 through July 31, 2025. The grant will support the development of novel approaches for large-scale inverse problems through collaborative research merging tools from inverse problems with randomized numerical linear algebra and sparse principal component analysis. Key...
- The National Science Foundation awarded Emory University a $346,631 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to develop methods for mixed precision arithmetic for solving large-scale ill-posed inverse problems. The University will focus on exploiting graphics processing units' mixed precision computing capabilities to efficiently compute approximate solutions to computationally intensive inverse problems. Key products include flexible computational...
- Federal Grant Award Summary Arizona State University received a $149,911 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025 through August 31, 2028. The award supports fundamental research on noncompact and singular Ricci flows, a geometric heat flow equation used to study the evolution of geometric structures in mathematical spaces. The principal...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
- Federal Grant Award Summary Arizona State University received a $150,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) awarded September 1, 2025, with completion targeted for August 31, 2028. The project focuses on fundamental research in discrete spherical geometry, addressing extremal problems including equiangular lines, spherical two-distance sets, plank coverings of spheres, the...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on inverse boundary value problems and related mathematical techniques. The key research areas include: Electrical impedance tomography (EIT) for determining the conductivity of materials by making voltage and current measurements at the boundary. The research will address challenges in EIT such as partial data, anisotropic...
This three-year $100,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) will support the development of novel computational methods for large-scale inverse problems, randomized numerical linear algebra, and sparse principal component analysis at Arizona State University. The grant will advance efficient tools for solving large-scale inverse problems in scientific applications experiencing exponential data growth such as genetics, geophysics, and biomedicine. Researchers will investigate advanced iterative methods, randomization and sketching schemes, and methods for sparse principal component analysis. An accelerated software package and theoretical convergence analysis will enable broader scientific adoption. The grant also provides training opportunities for students through a new cross-institutional graduate course merging expertise in inverse problems, randomized linear algebra, and numerical optimization. Collaborations will ensure algorithms and software impact real-world problems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 4/13/22 |