Project Grant 2622239
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083), effective September 1, 2025, through August 31, 2027. This Early-concept Grants for Exploratory Research (EAGER) project will develop and validate a lifecycle-based typology of security threats targeting artificial intelligence (AI) research through critical...
- The National Science Foundation Division of Computer and Network Systems awarded Virginia Polytechnic Institute & State University $449,812 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enabled modeling, sensing, digital twins, and autonomous control systems for large-area additive manufacturing using laser wire directed energy deposition. The project establishes a cyber-physical systems framework for real-time prediction...
- 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded Virginia Polytechnic Institute & State University $299,538 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate and demonstrate computational transparency approaches for understanding AI systems. The recipient will investigate, design, implement, analyze, and demonstrate the FEYENMAN cluster—a 30-node computing system that combines motion,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Virginia Polytechnic Institute & State University $421,351 on August 1, 2026, to develop methods for efficient multilingual large language model development through cross-lingual alignment transfer under the Computer and Information Science and Engineering program (CFDA 47.070). The project addresses computational redundancy in multilingual AI development by reimagining the process as cumulative and...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Virginia Polytechnic Institute & State University $1.2 million on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate power-related vulnerabilities in AI data centers and their interactions with power grids. The project characterizes vulnerabilities arising from high-density accelerators and energy-intensive computing in AI facilities, focusing on...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University received a $1.11M project grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective April 15, 2025, with a completion date of July 31, 2028. The project, titled "Trustworthy AI in Societal Resource Allocation," delivers research and development services addressing the design and deployment of fair and trustworthy...
- The National Science Foundation Division of Computing and Communication Foundations awarded Virginia Polytechnic Institute & State University (Virginia Tech) $790,509 on October 1, 2026, to develop artificial intelligence-based systems that support instructors managing collaborative learning in large introductory programming courses. The project addresses the challenge of scaling peer instruction—in which students work in groups to solve programming problems, discuss strategies, debug...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $121,650 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084), effective October 1, 2025, with a completion date of September 30, 2028. The grant funds the design, development, and sustainment of FLTest, an interdisciplinary testbed that automates privacy and robustness evaluations for federated...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $320,000 Project Grant awarded October 1, 2025, through the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This collaborative research initiative addresses critical data challenges in machine learning (ML)-based security classifiers by developing generative artificial...
The National Science Foundation Division of Information and Intelligent Systems awarded Virginia Polytechnic Institute & State University (Virginia Tech) $495,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop foundations for comprehensive integration testing in agentic AI workflow orchestration. The project addresses reliability and safety challenges in autonomous multi-agent AI systems that execute complex workflows in high-consequence domains such as medical triage, financial auditing, and smart-grid management. The recipient will formalize conversational interactions among asynchronous autonomous agents into discrete, testable structures and design automated testing mechanisms that uncover hidden coordination flaws without requiring millions of expensive trial executions. The technical approach centers on an agentic reliability toolkit that transforms non-deterministic agent communication into a verifiable framework through a middleware interception layer that captures linguistic state transitions and maps interactions into a formal discrete interaction graph. Domain-aware semantic pruning based on commutativity analysis will mathematically identify independent agent actions and reduce testing overhead by isolating redundant execution orderings. The award establishes foundational safety standards and testing tools enabling industries such as healthcare, finance, and energy to deploy autonomous AI systems safely in environments where errors jeopardize human life or economic stability. Period of performance runs from October 1, 2026, through September 30, 2029. Work is performed in Blacksburg, Virginia.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $495.0k | 7/30/26 |