Project Grant 2613350
- Federal Grant Award Summary The University of Tennessee received a $1.2 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective October 1, 2025, through September 30, 2028. The SAFARI (Scientific Analytics, Forensics, and Reproducibility for Workflows in CI) project integrates forensic data analytics into cyberinfrastructure workflows to enhance the reliability, security, and reproducibility of...
- Federal Grant Award Summary The University of Tennessee received an $800,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) awarded September 15, 2025, with completion targeted for August 31, 2029. The MPI4AI project is a collaborative, multi-institutional research effort involving Tennessee Technological University, the University of Tennessee, Knoxville, Stony Brook University, and the Illinois Institute of Technology...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070, Computer and Information Science and Engineering program) awarded $376,586 to the University of Tennessee beginning August 1, 2026, through July 31, 2031, to develop low-cost, portable edge artificial intelligence (EdgeAI) tools for resource-constrained communities. The project delivers machine learning capabilities embedded directly into inexpensive computing...
- Federal Project Grant Award Summary The University of Tennessee received a $300,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2025, with completion targeted for September 30, 2028. The Dark Matter Data Commons project establishes an open-science data infrastructure aligned with FAIR (Findable, Accessible, Interoperable, and Reusable) principles to...
- Federal Grant Award Summary Tennessee Technological University received a $125,133 Project Grant from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded July 1, 2025, with completion targeted for December 31, 2026. This collaborative award involves Tennessee Technological University, the University of Tennessee Knoxville, Meharry Medical College, and Vanderbilt University to develop and deliver a three-part workshop...
- Federal Grant Award Summary Tennessee Technological University received an $826,099 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2025, through July 31, 2028. The award funds the development of MPI Advance, an open-source cyberinfrastructure designed to optimize message-passing interface (MPI) performance on heterogeneous supercomputing...
- Federal Grant Award Summary The University of Tennessee received a $239,376 Project Grant award on June 15, 2025, under the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an open-source software ecosystem for terrain parameter computation in earth science applications. The project, titled "POSE: Phase I—Towards an Open-Source Ecosystem for Accelerating High-Resolution Terrain Parameter Computation in Earth Science...
- Federal Grant Award Summary The University of Tennessee received a $300,776 Project Grant from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2028. This collaborative research initiative develops an autonomous experimental framework for materials discovery by creating machine learning (ML) agents capable of coordinating multiple laboratory instruments—including scanning...
- Federal Grant Award Summary The University of Connecticut received a $599,999 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded September 1, 2025, with completion targeted for August 31, 2028. The SafeSci-TEE project advances cybersecurity infrastructure for large-scale scientific computing workflows by developing novel techniques in runtime and distributed...
- Federal Project Grant Award Summary The University of Tennessee received a $349,477 project grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) on July 15, 2025, to develop novel cybersecurity solutions addressing phishing attack vulnerabilities. Under this CAREER award, researchers will conduct systematic evaluations of state-of-the-art phishing detection models to identify exploitable weaknesses and develop enhanced...
The University of Tennessee received a $900,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2026, with completion scheduled for September 30, 2029. The CERTIFY project develops a framework for verifiable integrity in artificial-intelligence-ready scientific data pipelines, addressing critical gaps in ensuring data provenance, authenticity, and scientific validity across multi-institutional collaborations. The project delivers machine-checkable proofs embedded in scientific data objects that verify integrity and provenance requirements, temporal contracts that specify required properties of data curation and transformation steps, and lightweight operating-system-level monitors compiled from those contracts to prevent unauthorized data modifications. The project produces open-source software tools, documented example datasets, course modules, and training materials to democratize formal verification methods for scientific workflows. Large language model-based agents reduce the expertise barrier for configuring and managing these components, enabling broader adoption across collaborative research teams. The initiative is validated through two science drivers—agricultural sensor networks for livestock health and crop yield studies, and electronic health records systems requiring robust provenance and privacy safeguards—with outputs designed to strengthen reproducibility and researcher confidence in data-intensive science while supporting cross-institutional scientific collaboration.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 6/3/26 |