The University of Virginia received a $260,242 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure on January 1, 2022 to support the "EAGER: SCIDATBENCH: PRINCIPLES AND PROTOTYPES OF SCIENCE DATA BENCHMARKS" project through October 31, 2022. The grant was awarded under the Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and...
The University of Virginia received a $500,000 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems on January 1, 2022 to support research titled "SATC: CORE: SMALL: GENERALIZING ADVERSARIAL EXAMPLES IN NATURAL LANGUAGE." The period of performance for this award is January 1, 2022 through December 31, 2024. The award will support investigator-initiated research in the area of computer and information science and engineering under...
The University of Virginia received a two-year, $300,000 Project Grant award from the National Science Foundation Division of Engineering Education and Centers under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds the "EAGER: ADAPTIVE DIGITAL TWINNING: AN IMMERSIVE VISUALIZATION FRAMEWORK FOR STRUCTURAL CYBER-PHYSICAL SYSTEMS" project. This project aims to develop an immersive visualization framework for digital twin modeling of...
The University of Virginia received a $498,460 project grant award from the National Science Foundation on October 1, 2021 to support research titled "SHF: SMALL: DISTRIBUTION-AWARE TESTING FOR NEURAL NETWORKS." The project aims to develop testing techniques for neural networks that account for data distribution properties and will be completed by September 30, 2024. The award is provided through the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which...
The University of Virginia received a $374,876 project grant award from the National Science Foundation to conduct research titled "COLLABORATIVE RESEARCH: DASS: ACCOUNTABLE SOFTWARE SYSTEMS FOR SAFETY-CRITICAL APPLICATIONS" from October 1, 2021 through September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in all areas of computing, communications,...
The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded a $498,021 project grant to the Rector and Visitors of the University of Virginia to support the CICI: UCSS: HELIX++: SECURING OPEN SCIENCE PLATFORMS initiative. The grant was awarded on August 1, 2021 with a completion date of July 31, 2024 under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The funding will support investigator-initiated research and education efforts to...
The University of Virginia (UVA) received a $197,290 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to conduct collaborative research on security and privacy in machine unlearning. The project aims to better understand and defend against security and privacy risks that may arise from the use of machine unlearning techniques, which allow companies to remove the influence of personal data from their...
This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the Virginia Polytechnic Institute & State University (Virginia Tech) in expanding its Center for Cyber Science, Management, Applications, Regulation, and Training (Cyber SMART). The Cyber SMART center will conduct research and development on a range of cybersecurity topics, including communications security, U.S. government...
The University of Virginia (UVA) received a $600,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to advance federated graph machine learning (FGML) techniques. The project aims to 1) address data heterogeneity challenges in FGML, 2) develop novel algorithms to tackle label deficiency issues, and 3) strengthen data privacy protection for node attributes and graph structures. The research will produce...
The National Science Foundation (NSF) awarded a $1.2M Project Grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to enhance the security and privacy of community cyberinfrastructures (CI) for collaborative research. This 3-year project focuses on developing advanced techniques to secure data management and computation within CI systems, including centralized computing, distributed computing, and data computation. The...