Project Grant 2614616
- Federal Project Grant Award Summary The University of Michigan-Dearborn received a $199,984 Engineering Research Initiation (ERI) award from the National Science Foundation's (NSF) Directorate for Engineering (CFDA 47.041), effective June 1, 2026, through May 31, 2028. The project delivers scalable machine learning frameworks designed to enhance stability and resilience in inverter-dominated power systems. The research combines physics-informed neural networks with federated learning to...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded University of Michigan-Dearborn $380,338 under the Engineering program (CFDA 47.041) on October 1, 2025, to acquire a hierarchical testing framework for power and energy systems research. This Major Research Instrumentation (MRI) award funds state-of-the-art instrumentation that enables component-level and system-level validation of power and energy technologies,...
- Federal Grant Award Summary The University of Michigan received a $599,922 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective October 1, 2025 through September 30, 2028. This award funds the development of a novel, scalable, and trust-aware bilevel optimization framework designed for multi-user cyber-physical systems (CPS) operating under uncertainty and ambiguous user trust. The...
- 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 Project Grant Award Summary The University of Michigan's Regents received a $450,000 project grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) to develop novel wireless power transmission (WPT) technology based on high-order nonlinear resonance principles. The three-year research initiative, effective October 1, 2025 through September 30, 2028, will advance position-agile WPT systems...
- Federal Project Grant Award Summary The University of Michigan, Office of Research and Sponsored Projects, received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on August 15, 2025, with completion targeted by July 31, 2028. The award supports fundamental research on robust data-driven decision-making systems that integrate human-AI alignment with algorithmic...
- Federal Project Grant Award Summary The National Science Foundation awarded $299,840 to the Regents of the University of Michigan under the Integrative Activities program (CFDA 47.083) on September 1, 2025, for an Early Concept Grant for Exploratory Research (EAGER) project extending through August 31, 2027. This pilot project will develop artificial intelligence (AI) and computational network methods to identify researchers and research activities in Quantum Information Science (QIS) by...
- Federal Project Grant Award Summary The University of Michigan received a $500,000 project grant awarded June 15, 2025, from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "ACED: A Unified Framework of Physics-Informed and Domain-Adapted Generative Diffusion Model for Efficient and Reliable Nanophotonics Inverse Design," will develop an...
- 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...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $800,000 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) to the Regents of the University of Michigan, effective September 1, 2026, through August 31, 2030. The project develops a neuro-symbolic reasoning framework for verified hardware-software co-design of specialized computing accelerators. The framework integrates artificial...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $600,000 to the University of Michigan (Regents of the University of Michigan) under CFDA 47.041 (Engineering) on July 15, 2026, for research on learning and optimization-powered quickest change detection (QCD) in power systems. The project, which runs through June 30, 2029, will develop advanced algorithms and mathematical frameworks to enable the fastest possible detection and identification of anomalies in electrical grids, including generation failures, transmission disruptions, and electricity market manipulation. By integrating machine learning and optimization techniques with sequential inference theory, the research aims to address fundamental limitations in existing QCD methodologies when applied to real-world power grid operations. The project will deliver principled detection algorithms, computational tools, and technical guidance to grid operators, utilities, and regulators for rapid anomaly response and enhanced grid monitoring capabilities. Broader impacts include the development of open-source tools and datasets for the research and practitioner communities, improved grid reliability and resilience to reduce the estimated $150 billion in annual grid-related outage losses, enhanced electricity market competitiveness, and workforce development for engineers at the intersection of power systems and statistical machine learning. The research is positioned at the University of Michigan's place of performance in Ann Arbor, Michigan.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/10/26 |