Project Grant 2139735
- Lehigh University received a three-year, $250,000 Project Grant award from the National Science Foundation to support research titled "COLLABORATIVE RESEARCH: AF: SMALL: ON THE COMPLEXITY OF SEMIDEFINITE AND POLYNOMIAL OPTIMIZATION THROUGH THE LENS OF REAL ALGEBRAIC GEOMETRY." The award falls under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $219,328 to Lehigh University to design and analyze gradient-sampling-based algorithms for solving locally Lipschitz optimization problems. These algorithms will address computational challenges in areas such as image processing, statistical learning, robust control, and distance geometry, where solving large-scale, unstructured optimization problems with...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) (CFDA 47.070) Project Grant award of $108,000 to the Georgia Tech Research Corp, Office of Sponsored Programs, will fund collaborative research to develop a unified framework for analyzing adaptive stochastic optimization methods for machine learning applications. The research aims to produce self-tuning optimization algorithms with rigorous guarantees to reduce wasteful computation required by current...
- The National Science Foundation (NSF) awarded a $327,311 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Trustees of Dartmouth College to conduct collaborative research on connections between optimization methods and property testing for processing large data sets and developing accurate predictive models. The three-year project, which began on April 1, 2024, aims to discover mathematical relationships between sublinear...
- Lehigh University received a $175,000 Project Grant award from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research towards improving the handling of heterogeneity and personalization in federated learning. The University will develop mathematical models and efficient algorithms to address issues in heterogeneous federated learning caused by data and device diversity. Researchers will design advanced...
- The National Science Foundation Division of Computing and Communication Foundations awarded Lehigh University $402,332 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of May 1, 2021 through April 30, 2024. The funding supports Lehigh University's REU SITE: INTELLIGENT AND SCALABLE SYSTEMS project located in Fountain Hill, Pennsylvania. The Computer and Information Science and Engineering program aims to support...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $274,242 Project Grant to Northeastern University on June 15, 2021 with a completion date of October 31, 2023. The grant is part of the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Under this award, Northeastern University will...
- This $351,512 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds research by Lehigh University to develop systematic methods for characterizing the capabilities of automated agents, such as self-driving vehicles and robotic assistants, and planning how teams of these agents with diverse capabilities can work together effectively and efficiently to complete complex tasks. The goal...
- This $293,784 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental and applied research on fluctuating systems, random environments, and stochastic algorithms. The research aims to improve understanding and exploitation of randomness across diverse settings, including materials science, fluid dynamics, and machine learning. Key areas of focus include stochastic homogenization, stochastic partial...
- This $236,099 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program is supporting research to develop robust optimization and machine learning algorithms capable of handling dynamic and uncertain data environments. The research aims to advance optimization techniques for fundamental supervised learning tasks, yielding computationally and data-efficient algorithms with provable error guarantees. This work will...
The National Science Foundation awarded a $250,000 Project Grant to Lehigh University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support collaborative research titled "A UNIFIED FRAMEWORK FOR ANALYZING ADAPTIVE STOCHASTIC OPTIMIZATION METHODS BASED ON PROBABILISTIC ORACLES" from January 15, 2022 through December 31, 2024. The grant funding will support Lehigh University, along with any relevant sub-awardees, in conducting investigator-initiated research and developing a unified framework to analyze adaptive stochastic optimization methods that use probabilistic oracles. The research aims to advance computing and communications science through the development of optimization methods and use of cyberinfrastructure to enable discovery and innovation, in alignment with the goals of the NSF's CFDA 47.070 program.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 1/7/22 |