Project Grant 2516013

Award Date 10/1/25
Completion Date 9/30/26
Dollars Obligated $125K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Lincoln, NE 68503, USA
Similar Awards
This National Science Foundation project grant of $500,000 supports the development of new algorithms and techniques for graph-based error-correcting codes. Awarded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant provides funding from March 2022 through February 2025 to Stanford University. The project aims to advance the fields of list decoding and local decoding of graph-based codes. Researchers will work to achieve linear-time capacity-achieving...
This Project Grant award, valued at $300,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE: CFDA 47.070) Federal Grant Program. The award aims to design efficient error-correcting codes capable of improving the reliability and performance of flash memory systems, communication systems, and magnetic recording systems. The proposed research will explore the use of elementary symmetric functions to develop linear and...
The National Science Foundation awarded a $266,772 Project Grant to the Regents of the University of Michigan under the Computer and Information Science and Engineering program (CFDA 47.070). The five-year award beginning September 1, 2023 will support research investigating the connections between coding theory, specifically list decoding of error-correcting codes, and pseudorandomness theory. The investigator aims to advance the theoretical understanding of fundamental notions like...
This National Science Foundation Project Grant award of $599,970 provides funding from May 2023 through April 2026 to support research activities at the University of Illinois under the Computer and Information Science and Engineering program (CFDA 47.070). The award will fund research to develop new algorithmic tools and techniques for interpreting error-correcting codes that have been designed using deep learning methods. The research goals include gaining a better understanding of how and why...
This $242,668 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research at the University of California, Riverside to explore the interplay between pseudorandomness and coding theory. The goal is to construct new error-correcting codes and deepen the understanding of pseudorandomness, with a focus on improving recent code constructions based on expander graphs. The research aims to answer...
The University of Virginia received a $265,000 Project Grant award from the National Science Foundation under the federal Computer and Information Science and Engineering grant program (CFDA 47.070). The three-year award will support the development of novel data synchronization codes and algorithms with optimal communication bandwidth using error-correcting techniques. Key research thrusts include designing low-redundancy systematic error-correcting codes and efficient encoding/decoding...
This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop new error-correcting codes for reliable in-memory computing in next-generation artificial intelligence (AI) systems. The project, titled "COLLABORATIVE RESEARCH: NSF-BSF: CIF: SMALL: ERROR-CORRECTING CODES FOR NEXT-GENERATION ARTIFICIAL INTELLIGENCE," will explore a new approach called...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $400,000 in funding to Northeastern University to develop advanced algorithms and infrastructure for low-latency edge computing to support high-quality augmented/virtual/mixed reality (XR) applications on mobile devices. The key product deliverables include: (1) Algorithms to optimize wireless base station association, beamforming, and content...
This $300,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Texas A&M Engineering Experiment Station (Tees) for the period of July 1, 2024 to June 30, 2027. The grant supports the development of a new type of "Quantized-Analog Error-Correcting Code (QA-ECC)" to enable reliable in-memory computing for next-generation artificial intelligence (AI) systems. The research aims to...
The National Science Foundation (NSF) awarded a $202,207 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the Toyota Technological Institute at Chicago (TTIC), a private non-profit university, to conduct research on understanding and applying different forms of "expansion phenomena" with applications in error-correcting codes, optimization problems, and geometric data embedding. The 2-year project aims to develop a unified perspective on...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, will fund research on developing topologically-informed error detection and correction coding solutions for emerging extended reality (XR) technologies. The $125,000 award to the University of Nebraska-Lincoln aims to explore using topological data analysis to detect and correct communication errors in XR applications like 3D telemedicine and video conferencing, which require high-speed, low-latency data transmission. The project will establish a foundational relationship between bit-level errors and topological errors, and design algorithms to leverage persistent homology for robust error detection and correction. The research will provide research opportunities for graduate and undergraduate students, and educational outreach to K-12 students and teachers.

Generated 8/5/25, 6:42 AM