Project Grant 2418156
- The National Science Foundation (NSF) awarded a $146,350 Project Grant to The Trustees of the University of Pennsylvania (Penn) under the Mathematical and Physical Sciences program (CFDA 47.049) on July 1, 2023. The grant funding supports research aimed at broadening the understanding of the universality phenomenon of random matrices and developing new tools and techniques for additional applications of random matrix theory. Specifically, the project will explore two research directions: 1)...
- Federal Project Grant Award Summary Boston University received a $299,996 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) awarded on June 15, 2025, with completion by May 31, 2028. This collaborative research initiative develops novel algorithmic frameworks for distributed processing of massive datasets through advances in Approximate Message Passing (AMP) methodology. The project delivers a comprehensive framework that...
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $287,594 to support collaborative research addressing challenges in learning and inference from large-dimensional data. The awardee, The Trustees of the University of Pennsylvania doing business as the Clinical Practices of the University of Pennsylvania, will conduct the research from January 2022...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $331,902 Project Grant to the Trustees of Boston University on August 15, 2023 under the Mathematical and Physical Sciences program (CFDA 47.049). The purpose of this 3-year grant is to develop rigorous mathematical analysis and theory for the training algorithms used in neural network models across various machine learning applications. The research will leverage stochastic analysis and weak convergence theory...
- The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania. This grant will fund research to advance the state-of-the-art in property-based testing (PBT), a software engineering methodology for writing and automatically testing system specifications. The project aims to enhance...
- Federal Project Grant Award Summary The University of Pennsylvania received a $528,331 Project Grant award dated August 1, 2025, from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Efficient Algorithms for Learning with Distribution Shift," will develop novel machine learning algorithms designed to operate robustly when models encounter...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $450,000 to The Trustees of the University of Pennsylvania from January 2022 through September 2024. The funding supports research to develop new theoretical foundations for uncertainty quantification in non-convex, low-complexity models used in data-driven applications. Specifically, the awardee will conduct research to construct optimal confidence...
- This $259,825 National Science Foundation Project Grant supports research on iterative algorithms for statistics through the Mathematical and Physical Sciences program (CFDA 47.049). The principal investigator at the Massachusetts Institute of Technology will conduct research on techniques and models for learning from massive datasets. This includes providing a general analysis of the EM algorithm for non-regular mixture models and related singular problems. The research will also develop a...
- The National Science Foundation (NSF) awarded a $270,000 Project Grant to Carnegie Mellon University under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The 3-year grant, effective August 1, 2024, will support research to study the properties of random graphs and networks, including computational problems and algorithms associated with such complex structures. The principal investigator will examine topics such as matchings, Hamilton cycles, and spanning trees in...
- Federal Grant Award Summary The University of Pennsylvania received a $134,150 CAREER grant award from the National Science Foundation's Division of Mathematical Sciences (Federal Grant Program: Mathematical and Physical Sciences, CFDA 47.049) effective March 15, 2025. This project grant supports fundamental research in nonconvex optimization algorithms for statistical estimation and machine learning. The investigator will design and analyze iterative optimization methods capable of operating on...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania. The grant funds a 3-year research project to develop a new non-asymptotic statistical foundation for Approximate Message Passing (AMP) algorithms, which are widely used to solve linear regression problems. The goal is to characterize the finite-sample convergence behavior of AMP algorithms in practical data-limited settings, in contrast to existing asymptotic theories. The project aims to substantially advance the theoretical foundations of AMP and enhance its applications in areas such as optimal imaging, social network analysis, single-cell data analysis, and generative modeling. The research leverages insights from fields including high-dimensional statistics, signal processing, information theory, and random matrix theory. The project also includes plans to create new educational materials and offer training through courses, tutorials, and a monograph.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 5/31/24 |