This National Science Foundation (NSF) Division of Information and Intelligent Systems Project Grant aims to advance "few-round active learning" algorithms and enable more efficient training of supervised machine learning models. The $300,000 award to Virginia Polytechnic Institute & State University (Virginia Tech), running from August 1, 2023 to July 31, 2026, will support research to: 1) develop methods for quantifying the utility of unlabeled data for active learning tasks, and...
This $180,000 federal Project Grant award under the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the development of new methods for quality-explainable data synthesis, privacy-preserving data sharing, and collaborative analysis of mobile internet measurement data. Awarded to Virginia Polytechnic Institute & State University (Virginia Tech), this collaborative project brings together researchers from the University of...
This $300,001 Project Grant awarded by the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the NSF Directorate for Engineering (CFDA 47.041) supports research at Virginia Polytechnic Institute & State University (Virginia Tech) to define, evaluate, and improve data quality for effective artificial intelligence (AI) deployment in manufacturing. The key products and services to be delivered under this 3-year award include: Developing...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $200,000 provides funding to Virginia Polytechnic Institute & State University (Virginia Tech) from September 1, 2024 to August 31, 2027. The project aims to create a more automated and generic framework, along with effective tools, to distill fundamental knowledge of feature spaces and build AI-ready feature spaces using deep generative...
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 (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...
Virginia Polytechnic Institute & State University (Virginia Tech) received a $148,781 Project Grant award from the National Science Foundation (NSF) to support research titled "THE PROSPECTS FOR ARTIFICIAL INTELLIGENCE IN URBAN PLANNING." The award period runs from October 1, 2021 to September 30, 2022. The grant is being used to fund investigator-initiated research and education in computer and information science and engineering through NSF's Computer and Information Science...
This $300,000 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering federal grant program (CFDA 47.041), will support research at Virginia Polytechnic Institute and State University to develop a cost-sensitive federated artificial intelligence framework called COFEDAI. The goal is to facilitate data sharing and aggregation across multiple manufacturers to improve AI and machine learning for smart manufacturing...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $349,360 to Virginia Polytechnic Institute & State University (Virginia Tech) to investigate how artificial intelligence (AI) engineers perceive and develop translational ethical competency. The research aims to advance the fundamental knowledge of how future AI engineers can innovate responsibly and construct advanced engineering systems empowered by AI technologies. Specifically,...
This federal Project Grant award provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop fundamental theories, algorithms, and applications for open-world long-tailed learning (OpenLT). The $198,000 award to Virginia Polytechnic Institute & State University (Virginia Tech), spanning 5 years from September 2024 to August 2029, focuses on three key research thrusts: Establishing theoretical...