Project Grant 2619166
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Michigan $304,793 on August 1, 2026, for a Project Grant under the Engineering program (CFDA 47.041) focused on data-driven agentic artificial intelligence for trustworthy design of autonomous engineered systems. The award funds development of computational and data-enabled approaches to multidisciplinary design optimization. The project addresses the...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Michigan $199,998 on September 1, 2026, to develop and validate a framework for collaborative sequential experimentation in bio-additive manufacturing systems. The research addresses the challenge of designing biologically relevant products—including resorbable tissue scaffolds for nerve repair—by developing methods that enable multiple printers, laboratories,...
- Federal Grant Award Summary The University of Michigan received a $440,888 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective January 1, 2026 through December 31, 2028. This award supports research on optimization, risk management, and adaptation frameworks for integrated infrastructure systems—including energy, transportation, water, and telecommunications networks—under...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) awarded $185,000 to the Regents of the University of Michigan (University of Michigan-Dearborn) on September 1, 2025, for a three-year collaborative research project extending through August 31, 2028. The project will develop an intelligent system that leverages textual and image-based engineering knowledge from professional documents to...
- The National Science Foundation Division of Mathematical Sciences awarded $146,715 to the Regents of the University of Michigan on June 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to support collaborative research on calibrated hypothesis testing. The research will develop statistical methods that assign interpretable, rigorous error probabilities to individual scientific findings in large-scale inference problems. Current hypothesis-testing approaches control...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of Michigan $150,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical foundations for reinforcement learning and generative artificial intelligence systems. The project will use stochastic analysis, stochastic control, probability theory, and optimization to establish theory and algorithms for continuous-time reinforcement...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research on algorithms for optimization problems with uncertain or incomplete data inputs. The $484,600 grant awarded to the Regents of the University of Michigan will fund the design and analysis of parallelizable algorithms for stochastic optimization, as well as algorithms for stochastic optimization with unknown probability...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Johns Hopkins University $520,028 on October 1, 2026, under the Engineering program (CFDA 47.041) for research developing mathematical foundations that integrate machine learning with discrete optimization algorithms. The research investigates the fundamental interplay between mixed-integer optimization, discrete geometry, and machine learning. The project will develop new mathematical tools...
- Federal Grant Award Summary The University of Michigan received a $263,764 Project Grant from the National Science Foundation (NSF) 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 collaborative research award supports fundamental research addressing critical challenges in discrete and continuous optimization, with the goal of developing faster...
- 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 Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Michigan $475,922 on October 1, 2026, to develop novel optimization methods for sequential testing strategies in complex systems. The research aims to create efficient algorithms with mathematically rigorous performance guarantees for designing testing and inspection protocols that balance the tradeoff between performing multiple tests together to reduce costs and performing individual tests to acquire information more rapidly. The project will develop optimization and analytical tools applicable to complex systems composed of interconnected components, including series-parallel structures, and will evaluate these methods using publicly available datasets. The resulting techniques are expected to advance the theory of sequential testing under realistic cost structures and contribute to efficient solution methods for stochastic dynamic programs with exponential state space. The award funds research at the University of Michigan, Ann Arbor, Michigan, through its Office of Research and Sponsored Projects Division. Performance runs from October 1, 2026, through September 30, 2029. The project falls under NSF Engineering (CFDA 47.041), which supports innovation and excellence in engineering research and education. Beyond advancing testing methodologies applicable to manufacturing systems, infrastructure, and healthcare technologies, the award includes research opportunities for graduate and undergraduate students in optimization and data-driven decision making, supported by workshops and outreach activities to increase participation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $475.9k | 7/31/26 |