Project Grant 2608818
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Rensselaer Polytechnic Institute $200,000 on August 1, 2026, for collaborative research developing DATA-AGENT, a methodological and software cyberinfrastructure platform for data-centric artificial intelligence in vision-based industrial inspection. The project will deliver open-source software, datasets, tutorials, benchmark challenges, and training materials addressing three fundamental research...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Minnesota $393,606 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop novel artificial intelligence methods for adaptive experimental design that accelerate scientific discovery and engineering innovation. The project will create AI-driven frameworks to help engineers and scientists adaptively select which...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Michigan $304,793 on August 1, 2026, for a Project Grant under the Engineering program (CFDA 47.041) focused on data-driven agentic artificial intelligence for trustworthy design of autonomous engineered systems. The award funds development of computational and data-enabled approaches to multidisciplinary design optimization. The project addresses the...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Minnesota $199,601 on January 1, 2027, under the Engineering program (CFDA 47.041) to characterize how prototype testing sessions generate actionable design knowledge during early-stage product innovation. The research establishes an empirical framework linking prototype testing practices to the type, depth, and impact of design knowledge generated during...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Minnesota $334,264 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical and computational tools for infrastructure planning under uncertain and changing user demand. The research creates an integrated hierarchical optimization framework for user-centric infrastructure planning that models and investigates interdependence between...
- Federal Project Grant Award Summary The University of Minnesota received a $300,000 Project Grant award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) on October 15, 2025, with a completion date of September 30, 2028. This collaborative research initiative will develop diffractive optical neural networks (DONNs)—specialized, ultrathin computing systems composed of engineered nanostructures that...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Iowa State University of Science and Technology $549,499 on September 1, 2026, under the Engineering assistance program (CFDA 47.041) to develop autonomous artificial intelligence agents that detect and correct physics modeling errors in computer-based engineering designs, enabling reliable translation of designs into real-world systems across disciplines including fluid mechanics, structural...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Minnesota $270,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate whether scaling artificial intelligence models is sufficient to achieve scientific reasoning capabilities or whether fundamentally new approaches are required. The project, performed in Minneapolis, Minnesota through August 31, 2028,...
- 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...
- The Regents of the University of Minnesota received a three-year, $306,746 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. Titled "ADAPTIVE ROBUST OPTIMIZATION WITH ENDOGENOUS UNCERTAINTY AND ACTIVE LEARNING IN SMART MANUFACTURING," the grant will support research under the NSF Engineering Program (CFDA 47.041). Specifically, the University will conduct research on adaptive robust optimization methods with endogenous...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $399,967 to the Regents of the University of Minnesota on August 1, 2026, under the Engineering program (CFDA 47.041) to develop Data-Agent, a methodological and software cyberinfrastructure platform for agentic AI in vision-based industrial inspection. The project will develop a shared data resource, software platform, and methodology framework that enables researchers, students, and practitioners to evaluate data quality, improve dataset labels, and build task-aware datasets for industrial inspection applications. Deliverables include open-source software, curated datasets, tutorials, benchmark challenges, and training materials distributed through a community ecosystem connecting academic researchers, students, and industry practitioners. The work addresses three core research questions: evaluating quality in large heterogeneous inspection datasets, using human corrections and expert feedback to improve annotation models iteratively, and designing datasets that are representative, informative, and task-appropriate for downstream applications. The platform will support more trustworthy data-driven inspection systems across manufactured products, medical devices, transportation systems, energy infrastructure, and defense-related components, thereby strengthening advanced manufacturing and quality assurance while contributing to national economic competitiveness and national defense objectives. Performance occurs in Minneapolis, Minnesota with a period of performance through July 31, 2029. The award is a Project Grant assistance type.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 7/22/26 |