Project Grant 2317172
- This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award totaling $150,000 is funding a two-year exploratory research project (August 1, 2024 to July 31, 2026) led by the University of Iowa. The project aims to address fundamental challenges in translating on-ground manufacturing systems to reliable in-space production by developing a real-time heterogeneous transfer active learning framework. This framework will leverage knowledge from well-studied, data-rich...
- The National Science Foundation awarded a $721,021 project grant to the University of Michigan under the Engineering federal grant program (CFDA 47.041) to develop new foundations for multi-fidelity prediction, estimation, and learning under uncertainty in dynamical systems from September 1, 2023 through August 31, 2028. The University will conduct research to enable autonomous systems to estimate the effects of prediction uncertainty on planning and control decisions, with a focus on autonomous...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $440,888 Project Grant to the Regents of the University of Michigan to support research on new models and a comprehensive framework to capture the complexities and interdependencies of integrated infrastructure systems, while accounting for technological innovations and policy changes. The research aims to enhance system performance, improve resilience to risks, and promote more efficient resource utilization to...
- This five-year, $410,524 National Science Foundation project grant supports research and educational outreach activities aimed at advancing efficient global optimization methods under uncertainty. Funded through NSF's Engineering Directorate under the CFDA 47.041 program, the grantee will develop novel Bayesian optimization algorithms that exploit known problem structures to overcome efficiency barriers in optimizing extremely expensive functions. Specific research goals include optimizing...
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to enable precision manufacturing of materials with desired properties and the coordination and control of large collections of autonomous agents such as robotic or biological swarms. The $313,839 award, which runs from August 1, 2025 to July 31, 2028, aims to address critical gaps in existing control solutions by designing theory and computational algorithms with...
- The National Science Foundation (NSF) awarded a $271,362 Project Grant to the University of Washington under the Engineering program (CFDA 47.041) with a performance period from January 1, 2024 to June 30, 2025. The grant will fund the development of efficient surrogate modeling methods to predict discontinuous design performance in complex engineering systems, such as smart factories and autonomous material handling systems. The research aims to facilitate the solution of challenging...
- 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...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $300,000 EAGER grant titled "IMPRESS-U: Resilient Engineering to Advance Public Value and Innovation in Research Periphery Countries" to Arizona State University (ASU). This 2-year project, commencing on August 1, 2025, examines how uncertainty and crisis drive innovation and change in engineering education, particularly in academic departments operating in challenging environments. The research...
- This $193,750 Project Grant award from the National Science Foundation's (NSF) Engineering program supports research at Lehigh University to investigate the impact of information uncertainty on design decision-making under competition within engineering teams. The key objectives are to develop theoretical and experimental models to computationally analyze how bounded rationality and competitive dynamics influence sequential design decisions by human designers when sharing incomplete information....
- 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...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $431,033 Project Grant to the University of Iowa on Sep 1, 2023 to conduct research on novel computational methods for design optimization under uncertainty with arbitrary dependent probability distributions. The research aims to develop efficient computational algorithms and practical tools for robust and reliability-based design optimization of high-dimensional complex engineering systems subject to random inputs from arbitrary dependent probability distributions. Key objectives include: (1) novel mathematical developments of a generalized analysis-of-variance expansion and spline dimensional decomposition method to handle dependent random variables; (2) new scalable algorithms to calculate probabilistic response characteristics and design sensitivities; and (3) GSDD-driven optimization algorithms for high-dimensional robust and reliability-based design optimization problems, including for stochastic shape and topology designs. This foundational research is expected to advance the state-of-the-art in design under uncertainty and benefit the development of more durable, robust, and reliable complex systems and products across domains like ground vehicles, aerospace, and microelectronics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $431.0k | 9/6/23 |