Project Grant 2543398
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $387,145 Project Grant award from the National Science Foundation's Division of Engineering Education and Centers (CFDA 47.041 - Engineering) on August 15, 2025, with a completion date of July 31, 2028. The award funds a three-phase research study examining engineering faculty beliefs and their connection to workplace preparation. The project addresses a documented gap between...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $270,000 CAREER Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective September 1, 2025, through August 31, 2030. The award supports the development of scalable Bayesian statistical methodologies incorporating heavy-tailed prior distributions to address three primary research challenges: (1) advancing feature extraction techniques...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $200,000 collaborative research project grant awarded August 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The three-year project, scheduled for completion July 31, 2028, focuses on developing foundational research and novel algorithms to advance large language models (LLMs) and foundation models for...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $400,000 CAREER grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective September 1, 2025 through August 31, 2030. The award supports the development of automated, scalable technologies for extracting high-quality, trustworthy scientific information from...
- This $454,953 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance the science of optimization for enhancing the reliability and efficiency of critical national infrastructure. The project, titled "Embodied Optimization for Decision-Making in Dynamic and Uncertain Environments," will develop methods to adaptively formulate and solve optimization problems in open-ended environments characterized by uncertainty and...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $550,000 project grant from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded June 15, 2025, with completion scheduled for May 31, 2028. This research initiative delivers integrated evaluation methodologies and digital tools designed to improve building design and operational resilience...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $638,363 CAREER grant from the National Science Foundation's Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049), effective May 1, 2025 through April 30, 2030. The award supports fundamental research investigating cation inversion in high entropy spinel oxides (HESOs) and the relationship between atomic-level compositional complexity...
- The National Science Foundation awarded a $107,665 Project Grant to Virginia Polytechnic Institute & State University on August 1, 2021 with a completion date of November 30, 2022. The grant falls under the Engineering program (CFDA 47.041) to support research titled "CAREER: FAVORABLE OPTIMIZATION UNDER DISTRIBUTIONAL DISTORTIONS: FRAMEWORKS, ALGORITHMS, AND APPLICATIONS." The Engineering program seeks to improve quality of life and economic strength by fostering innovation and...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University 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, through September 30, 2028. The award funds the design, development, and sustenance of FLTest, an interdisciplinary testbed that automates privacy and robustness evaluations in federated learning systems. The testbed addresses critical...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University received a $815,736 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041) effective July 1, 2025, through June 30, 2029. This collaborative research initiative, conducted in partnership with the University of Cambridge, delivers fundamental research and experimental validation on rough wall...
Virginia Polytechnic Institute & State University (Virginia Tech) received a $639,433 CAREER grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041 – Engineering) on May 15, 2026, for research extending through April 30, 2031. The project deliverables include the development of a new generation of machine learning-enhanced branch-and-bound algorithms designed to solve large-scale mixed-integer nonlinear optimization problems while preserving mathematical guarantees. The research will produce advanced optimization tools for critical infrastructure applications, particularly electric power grids and chemical refineries, that leverage machine learning techniques to accelerate solution times and improve scalability and generalizability across real-world energy systems and industrial applications. The award also encompasses an integrated educational component delivering workforce development products and services. Virginia Tech will develop an interactive web-based tool to introduce optimization and machine learning concepts to high school students, supported by teacher workshops and partnerships with regional schools. The institution will further create new graduate modules and interdisciplinary workshops, in addition to undergraduate research opportunities, to prepare the next-generation workforce at the intersection of artificial intelligence, optimization, and engineering. These combined research and educational outputs aim to improve energy system efficiency, reliability, and operational economics while lowering environmental impact across national critical infrastructures.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $639.4k | 12/30/25 |