This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $687,382 to support research and education focused on developing the foundations of next-generation artificial intelligence (AI) for engineering design. The award aims to establish deep generative models (DGMs) that can effectively handle the unique challenges of engineering design across different scales, complexity, and disciplines. Key technical focus areas include: (1) creating...
The National Science Foundation awarded a $500,187 Project Grant to the University of Missouri System under the Engineering federal grant program (CFDA 47.041). The grant will support research from April 2021 through March 2026 to develop interactive and explainable artificial intelligence techniques for next-generation transportation systems management. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award in the amount of $293,288 aims to combine the advantages of match-based and error-based learning to overcome scalability and credit assignment problems in machine learning models. The project seeks to improve the explainability of Adaptive Resonance Theory (ART) by designing appropriate training templates, and distinguish between catastrophic forgetting and valid performance degradation due to new...
This $199,996 project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a principled approach to the systematic design of efficient iterative algorithms for a wide variety of data-driven applications. The project at Miami University will leverage tools from both optimization and control theory, including techniques like interpolation, Lyapunov stability, and robust control synthesis, to enable the deployment of specialized and efficient...
This $281,589 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop model-agnostic strategies for aligning artificial intelligence (AI) models with real-world operational goals in predictive maintenance for manufacturing systems. The project aims to: (i) design machine learning models that incorporate maintenance cost and operational constraints into predictive modeling, (ii) extend unit-level prognostics to...
This $478,823 federal Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), supports foundational research to create intelligent structures and materials with multi-faceted mechanical intelligence (mechano-intelligence). The objective is to leverage multi-functional origami as a mechanical neural network to develop self-aware, autonomous engineering systems capable of perceiving, memorizing, and making decisions about their environment....
This $199,369 National Science Foundation (NSF) Engineering (CFDA 47.041) project grant awarded to the University of Wyoming will fund research to enable efficient, real-time learning of optimal control strategies for complex autonomous systems operating in uncertain environments. The research aims to develop a framework that allows autonomous systems to dynamically detect, classify, and mitigate unexpected disruptions, such as sensor noise, mechanical malfunctions, environmental disturbances,...
The National Science Foundation awarded a $609,605 Project Grant to the University of Missouri System under the Engineering program (CFDA 47.041) for the period of April 1, 2021 through March 31, 2026. The grant funds the CAREER: FINITE ELASTICITY OF MORPHING METAMATERIALS. THEORY AND APPLICATIONS project. This project will support the development of theoretical and applied research on finite elasticity of morphing metamaterials. The Engineering program seeks to improve quality of life 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...
This $200,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at the University of Missouri System's Missouri University of Science & Technology to investigate compressibility effects on turbulence production in supersonic flows. The goal is to improve understanding of the mixing process in supersonic combustors for hypersonic flight applications. The project will utilize two-point focused laser differential interferometry to...