Project Grant 2535574
- This $506,494 National Science Foundation Project Grant under the Engineering (47.041) program will support research at Purdue University developing novel methods for data-driven engineering of service systems. The research aims to leverage large operational data sets and machine learning technologies to facilitate model identification for complex stochastic network models representing service industries. Methods will be extended for model calibration in random and nonstationary environments....
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $687,382 supports research and education focused on the foundations of the next generation of artificial intelligence (AI) for engineering design. The project, titled "CAREER: TOWARDS NEXTGEN-AI: RETHINKING DEEP GENERATIVE MODELS FOR ENGINEERING DESIGN", aims to establish deep generative models (DGMs) designed to handle challenges specific to engineering design across different scales, complexity,...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research on "Endogenous Information Design" conducted by the University of Colorado Colorado Springs (UCCS). The project aims to develop new theoretical models and mathematical tools for analyzing situations where human behavior affects the state of the world, which in turn changes the information that can be shared. This is relevant to various "smart...
- This Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund research from September 2022 through August 2025 totaling $499,269 to understand the adoption of novel design practices by organizations. The research will investigate barriers and catalysts to adopting new methods like biologically inspired design and patent mining in large industrial research and development settings. Researchers will conduct interviews and surveys to...
- This $500,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Northeastern University to advance "Mechanics Informatics" - a theoretical framework for learning material properties from a single, optimized mechanical test. The project aims to develop new computational methods, including inverse learning algorithms and uncertainty quantification, to automate the design, testing, and analysis of materials and...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $500,000.00, with a period of performance from August 15, 2025 to July 31, 2030, will support a collaborative research project between the University of Connecticut and the University of Missouri. The project aims to reimagine engineering education by creating innovative tools and strategies that support the success of all students, particularly in the critical first two years of the undergraduate...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $500,000.00 to The University of Alabama in Huntsville (UAH) to conduct fundamental research on improving how engineers formulate, analyze, and validate engineering problem spaces. The award, which runs from March 1, 2025 to February 28, 2030, supports the development of a new theoretical foundation that integrates rigorous logic-based methods with real-world engineering practice....
- This Project Grant award of $316,623 from the National Science Foundation's Engineering program (CFDA 47.041) funds research at Penn State University from August 2021 through July 2024 to characterize expert behavior during interactive parametric building design. The goal of the NSF Directorate for Engineering is to improve quality of life and economic strength through innovative engineering research and education. This award will further those goals by exploring expert interactions and...
- The National Science Foundation (NSF) awarded a $679,973 Project Grant under the Engineering program (CFDA 47.041) to the University of Oklahoma to develop an artificial intelligence-assisted product design and production planning system that improves efficiencies in manufacturing. The research focuses on integrating deep learning into product functional analysis, component design integration, and constraint-aware production planning to help small manufacturers leverage intelligent automation...
- This $199,626 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Missouri System's Missouri University of Science & Technology (Missouri S&T) that aims to enable rapid engineering design optimization involving complex design requirements. The project seeks to develop a generative artificial intelligence approach for design requirement fulfillment, along with surrogate models to enable near...
This Project Grant award for $500,000, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports research with the primary objective of establishing an approach for Design for Product Evolution (DFPE). The research aims to integrate dynamic models of individual customer decision-making and population-level social network influences to enable concurrent design of marketing campaigns and agile product development strategies. The computational methods developed will help engineering design practitioners and systems engineers design more adaptable and user-responsive products, especially critical in industries with continuous updates and iteration, such as AI-enabled autonomous systems, consumer electronics, and mobility solutions. The award will be executed by Purdue University from January 1, 2026 through December 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 8/20/25 |