This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $299,354 provides funding to develop a novel learning-driven framework to mitigate artifacts produced by scientific data compressors. The project aims to improve the integrity and quality of lossy-compressed scientific data, facilitating more efficient data storage, transmission, and analytics across domains including climatology, cosmology, fusion energy...
This $819,000 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) will fund a collaborative research project titled "SCIOPT: Toward Certifiable Compression-Aware SCIML Systems" at the University of Utah. The project aims to develop techniques to reduce the volume of data exchanged in high-performance scientific simulations and scientific machine learning (SCIML) applications without sacrificing accuracy. Key...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $328,017 supports the development of secure, efficient, and reliable long-term digital data storage systems. The project, awarded on November 15, 2024 and set to be completed by September 30, 2025, aims to create techniques for archiving digital data that can withstand errors, hardware failures, and malicious attacks over decades. Key objectives include developing...
The University of North Carolina at Charlotte will deliver collaborative research project services under a $249,929 Project Grant award from the National Science Foundation. The grant is part of NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically, the University will conduct research on "Timely Computing and Learning...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant Award (CFDA 47.070) totaling $236,099 will fund research to develop robust algorithms capable of handling dynamic and uncertain data scenarios for supervised learning tasks. The project aims to advance optimization techniques to address limitations of existing approaches, which often rely on overly general assumptions and produce overly pessimistic results. The research will focus on...
This $239,952 Project Grant was awarded by the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund the development of PRODM, a unified progressive data management framework to enable efficient streaming and analysis of scientific data produced by extreme-scale simulations and instrumentation. The project aims to create a sustainable infrastructure to link recent algorithmic...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $400,000 in funding to the University of North Carolina at Chapel Hill (UNC-CH) for the "SCIWIT" project. The project aims to implement a prototype system for performing scientific data analysis using in-network and near-network computing resources in an optimal way. The research will investigate how scientific...
This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $500,000 over 5 years to The University of Kentucky Research Foundation to develop scalable software enabling "data polymorphism" - a novel paradigm for fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: 1) A generic framework to abstract the generation of...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $273,563 supports the development of a framework to provide low-effort runtime assurance for detecting, diagnosing, mitigating, and preventing failures in cloud computing systems. The key products/services to be delivered include: Synthesizing semantic checkers from test cases to enable timely detection of silent cloud failures that violate system...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a federal grant program number of 47.070, provides funding of $300,000.00 to Indiana University over a 2-year period from March 1, 2024 to February 28, 2026. The grant supports the development of a mathematical theory for analyzing large datasets containing errors by leveraging domain knowledge about the processes that generated the data and the error model. The key focus...