Project Grant 2514753
- This $146,112 Project Grant, awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, funds research to develop new mathematical and computational tools that extend the theory of optimal transport. The proposed methods are tailored to specialized real-world data structures, such as medical images, crowd movements, and biological networks, enabling more adequate quantitative analysis. The research will produce robust, open-source...
- This three-year, $631,860 project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program, will support the development of efficient algorithms for optimal transport in geometric settings. The researchers at Duke University will advance theoretical understanding of optimal transport and bridge gaps between theory and practice of algorithm development. They will exploit combinatorial,...
- This Project Grant award of $204,069 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research by the Georgia Tech Research Corporation on the regularity of optimal transport and related mathematical problems. The award aims to advance the theoretical understanding of optimal transport, a fundamental area of mathematics with applications in physics, chemistry, machine learning, and materials science. The research explores the fine...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $600,000 Project Grant to Carnegie Mellon University (CMU) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant supports a 3-year research project focused on developing rigorous statistical methods for Optimal Transport, a mathematical technique used to combine data from different scientific domains and mitigate unintended biases in algorithms. The project has three main thrusts: 1)...
- This Project Grant award of $253,888 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of new mathematical and computational tools that extend the theory of optimal transport. The project aims to enable more adequate quantitative analysis methods for specialized real-world data structures such as medical images, dynamic crowd movements, and biological network structures. Key outcomes will include robust and...
- This $275,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support collaborative research to develop new statistical approaches for comparing and aligning networks. The research will focus on investigating optimal transport-based distances for Markov embeddings of networks, developing new methods for network alignment and comparison, and establishing theoretical results about these approaches. The...
- This National Science Foundation Project Grant award of $540,000 provides funding from July 1, 2022 to June 30, 2025 to address new challenges in statistical inference with regularized optimal transport. The award is made under the Mathematical and Physical Sciences program (CFDA 47.049) to Cornell University to explore modern regularization techniques for optimal transport distances and develop a comprehensive statistical theory to facilitate principled inference in high dimensions....
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $184,593 project grant to Lafayette College in Easton, Pennsylvania. The grant, under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), will fund collaborative research to develop theoretical tools and efficient numerical methods for solving the optimal transport problem. This mathematical problem seeks to minimize the total cost of transporting mass from one location to another, with applications...
- This National Science Foundation Project Grant of $315,519 supports research at the University of California, Los Angeles from July 2022 to June 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The award funds research investigating challenging problems in optimal transport theory and its applications in fields including partial differential equations, geometry, probability, and machine learning. Key areas of focus include developing the theory to analyze games with large...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will provide $160,000 to Cornell University from July 1, 2024 to June 30, 2027 to advance statistical optimal transport theory and its applications. The research project aims to develop new computational and statistical methods for optimal transport, and apply them to various data analysis tasks like clustering, generative modeling, and dimension reduction for...
This federal Project Grant award in the amount of $113,834 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award, titled "COLLABORATIVE RESEARCH: AF: SMALL: EFFICIENT ALGORITHMS FOR OPTIMAL TRANSPORT IN GEOMETRIC SETTINGS", is funding research to develop scalable algorithms for computing high-quality optimal transport plans between discrete and continuous probability distributions. The research aims to advance the theoretical foundations of optimal transport and bridge the gap between theory and practical algorithms, with a focus on leveraging combinatorial, geometric, and statistical techniques to create simple and efficient algorithms. The project will be performed by North Carolina State University, a prominent 1862 Land Grant institution, from March 1, 2025 to May 31, 2025. The research outcomes are expected to significantly improve the applicability of optimal transport methods across various disciplines, including machine learning, data analysis, and decision-making.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $113.8k | 3/4/25 |