Project Grant 2326592
Award Date
8/15/23
Completion Date
7/31/26
Dollars Obligated
$250K
Federal Agency
Division of Electrical, Communications and Cyber Systems
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Buffalo, NY 14228, USA
Similar Awards
The National Science Foundation (NSF) awarded a three-year, $300,190 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Research Foundation for the State University of New York (RF SUNY) to conduct collaborative research on large-scale bilevel optimization. The key objectives are to develop fast and scalable Hessian-free bilevel optimization algorithms, analyze primal-dual and pessimistic bilevel methods, and devise algorithms for solving...
The National Science Foundation (NSF) awarded a 3-year, $249,965 Project Grant to William Marsh Rice University under the Engineering federal grant program (CFDA 47.041) to develop new algorithms for solving bilevel optimization problems in multi-agent distributed systems. The project aims to close the gap between existing bilevel optimization research focused on single-agent systems and the growing need to solve such problems in distributed networks, such as those arising in power systems,...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Davis (UC Davis) for the period of September 1, 2024 to August 31, 2027. The grant supports the development of an online bilevel optimization framework to address modern challenges in signal processing and machine learning, such as multi-task learning, sequential decision making, and robust adversarial training. The research innovations include...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $224,375 Project Grant to the University of Texas at Austin from September 15, 2021 through August 31, 2024. The grant supports collaborative research to develop computationally efficient algorithms for large-scale bilevel optimization problems under the NSF Engineering program (CFDA 47.041). The Engineering program seeks to improve quality of life and economic strength by fostering innovation...
The University of Arizona was awarded a $224,375 project grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant supports collaborative research on computationally efficient algorithms for large-scale bilevel optimization problems under the NSF Engineering program (CFDA 47.041). The Engineering program aims to improve quality of life and economic strength by fostering innovation in engineering research. This project specifically develops new...
This three-year $300,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering (47.041) federal grant program, funds research at New York University to advance the mathematical foundations and develop new tools for real-time distributed optimization-based control of large-scale nonlinear uncertain systems. Specifically, the award supports three research tasks: 1) synthesizing distributed optimization algorithms robust...
This Project Grant award of $299,549 from the National Science Foundation's (NSF) Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA #47.070), provides funding to William Marsh Rice University to conduct collaborative research on large-scale bilevel optimization problems. The project aims to develop new theory, algorithms, and applications for bilevel optimization, which has important implications for emerging fields like...
This $318,590 Project Grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports research and development at the Georgia Tech Research Corporation aimed at advancing computational models and algorithms for distributed constrained optimization in complex multi-agent networks. The key objectives are to: (i) develop an enhanced mathematical modeling framework utilizing variational inequality theory; (ii) design and analyze new iteratively regularized...
The National Science Foundation awarded a $250,000 Project Grant to the Texas A&M Engineering Experiment Station to support research titled "Collaborative Research: Consensus and Distributed Optimization in Non-Convex Environments with Applications to Networked Machine Learning." The award is part of the NSF Engineering program (CFDA 47.041), which aims to foster innovation and excellence in engineering research. Under the three-year award concluding in July 2026, the Texas A&M...
This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant, with the official CFDA number 47.041, was awarded to the Board of Trustees of Illinois State University Research and Sponsored Programs Division for $197,516 on June 1, 2024. The award will fund research to develop innovative algorithms enabling multiple agents to communicate and collaborate effectively in solving complex network optimization problems, with a focus on optimizing the nation's evolving...