Project Grant 2552514
- Federal Grant Award Summary Chapman University received a $199,106 Engineering Research Initiation (ERI) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) effective July 1, 2025, through June 30, 2027. The project delivers a scalable predictive modeling framework for system failure prognosis that integrates longitudinal analysis, survival modeling, and decentralized learning methodologies. The research specifically addresses...
- Federal Project Grant Award Summary Funding Agency: National Science Foundation, Division of Undergraduate Education Federal Grant Program: STEM Education (CFDA 47.076) Award Amount: $149,951.00 Award Date: October 15, 2025 Performance Period: October 15, 2025 – September 30, 2028 Chapman University, in collaboration with the University of Texas at El Paso, will develop and deliver integrated responsible Artificial Intelligence (AI) education curriculum and instructional services for...
- Federal Grant Award Summary The Division of Civil, Mechanical, and Manufacturing Innovation (part of the National Science Foundation's Engineering program, CFDA 47.041) awarded Stevens Institute of Technology a Faculty Early Career Development (CAREER) grant of $545,650 beginning September 1, 2026 and concluding August 31, 2031. This project grant supports research and educational activities focused on modeling trust dynamics in human-artificial intelligence (AI) collaboration during early-stage...
- Federal Project Grant Award Summary San Jose State University Research Foundation received a $124,948 Engineering Research Initiation (ERI) grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) effective October 1, 2025, through September 30, 2027. The award funds research into vibration-assisted friction stir surfacing (VAFSS) as a post-processing technique for additively manufactured metal parts produced via laser powder bed...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a CAREER grant totaling $299,039 to the University of California, Davis on June 15, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project, extending through May 31, 2030, will develop computational tools and frameworks for designing robust nonlinear elastic metamaterials—engineered materials with microstructures that...
- Federal Grant Award Summary The National Science Foundation's Division of Engineering Education and Centers awarded a CAREER (Faculty Early Career Development) grant of $649,752 to The University of Kentucky Research Foundation, effective January 1, 2026 through December 31, 2030. Under the Engineering program (CFDA 47.041), this project grant supports research to develop improved models for spatial skills learning in computer-aided design (CAD) education. The research employs a multi-case study...
- Federal Grant Award Summary The University of California, Irvine received a $900,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025 through September 30, 2029. This award funds the development of NEUHLS (Neurosymbolic Framework for High-Level Synthesis of Multi-Task Learning), a toolchain that automatically generates hardware...
- Federal Grant Award Summary Carnegie Mellon University received a $651,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing advanced haptic graphical user interfaces (GUIs) by leveraging the dynamic properties of soft materials to integrate...
- Federal Grant Award Summary This collaborative research project grant of $317,248 was awarded on September 1, 2025, by the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The award, which runs through August 31, 2028, supports fundamental research at the University of Illinois to develop a hierarchical analytical framework for understanding and optimizing fracture resistance in mechanical metamaterials (MMMs)....
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded $200,000 to the University of Wisconsin Oshkosh under the Engineering program (CFDA 47.041) for an Engineering Research Initiation (ERI) project beginning June 1, 2026 and concluding May 31, 2028. This project will deliver analytical and computational frameworks designed to enhance the reliability and interpretability of automated inspection systems used in modern...
Chapman University received a $199,875 Engineering Research Initiation (ERI) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) effective June 1, 2026, through May 31, 2028. The award supports development of GESTURE2CAD, a multimodal artificial intelligence system that translates natural hand gestures into parametric computer-aided design (CAD) models. The project delivers three primary products: (1) the first multimodal CAD dataset integrating gesture and text representations; (2) a gesture-driven generative model capable of converting hand movements into parametric CAD commands and expert-level text prompts; and (3) an immersive, explainable human-AI collaborative CAD modeling system operable in extended reality (XR) environments. The GESTURE2CAD system generates high-quality, editable three-dimensional outputs compatible with standard CAD tools, enabling direct integration with existing design workflows. Development is guided by feedback from expert designers and empirical studies with participants across varying CAD experience levels to ensure usability and system effectiveness. This research advances fundamental knowledge in gesture-based design representation, AI-driven CAD modeling, and explainable models to support human-AI collaboration, addressing the transition toward human-centric Industry 5.0 manufacturing by empowering workforce creativity and reducing reliance on repetitive design tasks.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.9k | 5/29/26 |