Project Grant 2514001
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $250,000 to Iowa State University of Science and Technology will support collaborative research to develop scalable, robust, and distributed nonconvex approaches for structured tensor recovery. The three-year project aims to advance the field of tensor analysis to address key challenges in modern data science across applications such as signal processing, biomedical imaging, machine learning, and quantum...
- This five-year, $7.3 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The University of Utah will receive funding to collaborate with other researchers on advancing tensor computations, which are fundamental to large-scale parallel software applications in scientific computing and machine learning. Key deliverables...
- Louisiana State University and Agricultural and Mechanical College (LSU) received a $236,770 Project Grant award from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to accelerate research on active set methods for large-scale sparse nonlinear optimization from July 2023 through June 2026. Through this award, LSU will improve the implementation and theory of current active set methods used to solve...
- This $150,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on novel data visualization techniques based on tensor fields. The project aims to develop mathematical models and efficient algorithms for the visualization of dynamic tensor fields, which have applications in areas such as natural disaster modeling, structural stability analysis, and medical research. The core research...
- The National Science Foundation Division of Mathematical Sciences awarded a $275,000 Project Grant to the University of California, Los Angeles under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The three-year award will support research into fields in tensor-triangular geometry and their applications. Specifically, the awardee will analyze fundamental particles in tensor-triangular geometry known as tensor-triangular fields, which underlie larger...
- This $200,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research in topology and group theory at Louisiana State University (LSU). The primary goal of the 3-year research program is to study the growth of homology in a residual tower of finite regular covers of aspherical manifolds, with potential connections to the high-dimensional analogue of Agol's virtual fibering theorem. The research will...
- This $900,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund research at Virginia Polytechnic Institute & State University to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The five-year award beginning July 2022 aims to address challenges in sustaining improved computing performance and developer productivity as hardware customization increases due...
- This $125,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research at the University of California, Merced on developing optimized sparse tensor network algorithms and specialized accelerator architectures. The one-year award beginning October 1, 2022 aims to address challenges in high-dimensional data computation and analytics using tensor representations by exploring memory heterogeneity-aware data...
- This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $216,296 to Louisiana State University (LSU) from September 1, 2024 to August 31, 2027. The project aims to develop novel approaches and underlying theory for online machine learning, with a focus on applications in biomedical research, finance, cybersecurity, and big data. Key aspects include: Exploring the use of partial differential equations and optimal...
- The National Science Foundation awarded a $268,851 Project Grant to the University of Houston System through the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research into developing tensorial reduced order models for numerical simulation of dynamical systems from July 2023 through June 2026. Specifically, the University of Houston will work to advance parametric model reduction techniques using tools from multi-linear algebra. This includes developing a...
This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $239,806 to Louisiana State University (LSU) to develop new tensor decomposition algorithms and applications. The key products and services to be delivered under this 3-year award include: Developing computationally efficient, theoretically-grounded tensor decomposition algorithms that can handle high-order tensor structures. These algorithms will have applications in areas like artificial intelligence, data science, and engineering, supporting techniques such as multi-view learning, convolutional neural networks, and large language models. The project also includes training undergraduate and graduate students in scientific computing and data science. The funding will enable LSU researchers to overcome limitations of existing tensor decomposition methods, by reformulating the problem using generating polynomials. This is expected to result in algorithms that are faster, easier to implement, and have strong theoretical guarantees. The project aims to advance the state-of-the-art in tensor computation and enable new applications of tensor methods across domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $239.8k | 7/30/25 |