Project Grant 2537277
- 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 $567,977 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award was obligated on August 1, 2025, with a project completion date of April 30, 2029. The grant supports research and development to optimize wearable optically...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $650,000 Project Grant award effective February 1, 2026, through January 31, 2030, from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310). The research project investigates the role of interleukin-6 (IL-6) family signaling proteins in early embryonic development and pregnancy...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $411,583 Project Grant award from the National Cancer Institute under the Cancer Detection and Diagnosis Research program (CFDA 93.394), effective August 1, 2025 through July 31, 2027. The award funds research to develop and validate a computational model that characterizes the relationship between perivascular spaces (PVS) and interstitial fluid flow in glioma tumor...
- 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 $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...
- 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 Grant Award Summary 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...
- Federal Grant Award Summary Virginia Polytechnic Institute & State University received a $400,000 Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) beginning October 1, 2025, with a completion date of September 30, 2028. The award funds research to develop an end-to-end framework for privacy-preserving sharing of machine learning (ML) models trained on sensitive healthcare and medical research data. The project will...
- Federal Project Grant Award Summary Virginia Polytechnic Institute & State University (Virginia Tech) received a $186,903 Project Grant award effective July 1, 2025, through June 30, 2028, from the National Science Foundation (NSF) Division of Engineering Education and Centers under the Engineering program (CFDA 47.041). This collaborative research initiative investigates faculty and student practices that shape the regulation of teamwork, psychological safety, and conflict management in...
Virginia Polytechnic Institute & State University (Virginia Tech) received a $499,996 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041 - Engineering program) awarded on February 15, 2026, with completion targeted for January 31, 2029. The primary deliverables include the development of advanced diffusion magnetic resonance imaging (MRI) protocols and computational models to non-invasively map microstructural remodeling in reproductive tissues throughout pregnancy. Researchers will generate three-dimensional tissue domains from murine microscopy data, integrate these with computational simulations of diffusion MRI physics, and develop machine learning-driven models to estimate tissue microstructural organization. The models will be experimentally validated using preclinical MRI scanners to enable early diagnosis of tissue abnormalities that may lead to adverse pregnancy outcomes such as spontaneous preterm birth. Beyond the research outputs, the project will generate educational products through training and workforce development initiatives targeting undergraduates, graduate students, and pre-college students in engineering disciplines, high-performance computing, and machine learning. The comprehensive integration of advanced medical imaging, computational modeling, and data-driven analysis will produce an unprecedented mapping tool for understanding how reproductive tissues remodel during and after pregnancy, with potential applications for improving clinical outcomes and informing obstetric healthcare delivery.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 1/30/26 |