Project Grant 2533260
- This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop algorithms and tools that enable reliable system forecasting for safety-critical engineered systems, even in environments with limited data. The $250,000 award, spanning Jan 2026 to Dec 2028, will fund the University of Connecticut to create the "Modular Analytics for Prognostics with Small Data" platform, which...
- This $500,000 Project Grant was awarded on May 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to the Regents of the University of Michigan. The project, titled "CPS: SMALL: LIFTED HYBRIDIZATION: A NEW REPRESENTATION FOR EFFICIENT CONTROL AND VERIFICATION OF CYBER-PHYSICAL SYSTEMS", seeks to develop new theories, algorithms, and tools to enable more effective and robust control of...
- The National Science Foundation awarded a $250,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into a new paradigm for distributed information processing, simulation and inference in networks through application of the "law of small numbers." The University of Michigan will leverage its expertise in computing and communications foundations to...
- 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) awarded a $783,729 Project Grant under its Engineering program (CFDA 47.041) to the Regents of the University of Michigan. The grant, running from September 1, 2025 to August 31, 2028, aims to advance the fundamental understanding of deformation behavior in amorphous solids, such as metallic glasses and granular systems, which exhibit complex, non-crystalline structures and mechanisms not captured by conventional models. Through a combination of atomistic...
- 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 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $185,000.00 to the Regents of the University of Michigan, doing business as University of Michigan-Dearborn, to conduct collaborative research on improving zero-shot learning of manufacturing anomalies. The goal is to develop an intelligent system that leverages existing engineering knowledge embedded in texts and images to detect new and unforeseen anomalies in advanced...
- The National Science Foundation (NSF) awarded a $543,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. This 3-year grant, starting on September 1, 2024, aims to develop statistical tools to assess the societal impacts of predictive models and policy recommendations in order to improve social welfare. The technical focus is on leveraging the phenomenon of "performativity", where the predictive...
- This National Science Foundation (NSF) Project Grant award for $106,291, under the Mathematical and Physical Sciences program (CFDA 47.049), will support research to extend classical extreme value theory to models with interdependent numerical values and mean-field interaction. The project aims to study the convergence of upper and intermediate order statistics of certain systems of stochastic differential equations as their size grows, with applications in finance, medicine, and other...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $400,438, awarded on September 1, 2024, supports research to improve methods for resource allocation decisions when model parameters are highly uncertain and data is limited. The award to the Regents of the University of Michigan - Dearborn will contribute to enhancing the reliability, efficiency, and sustainability of engineering and business applications, with a focus on electric vehicle (EV)...
The National Science Foundation (NSF) awarded a $249,999 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the Regents of the University of Michigan, doing business as the University of Michigan-Dearborn. The grant, effective from January 15, 2026 to December 31, 2028, aims to develop a physics-informed probabilistic prognostics platform called "Modular Analytics for Prognostics with Small Data." This platform will enable reliable system forecasting even in small-data environments, supporting rapid, risk-based decisions on quality control and maintenance for safety-critical engineered systems. The project addresses key challenges such as the lack of sufficient experimental data and the discrepancy between physics-based simulations and real-world system degradation. The research will promote learning through open-source tools and modules, and support STEM education through outreach activities.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 7/31/25 |