Project Grant 2552448
- Summary of Federal Project Grant Award Michigan Technological University received a $199,998 project grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded on June 15, 2025, with a completion date of May 31, 2027. This Engineering Research Integration (ERI) project will develop advanced wavelet transform-based digital signal processing theory and real-time fault diagnosis tools for...
- 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 National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $199,992 to the University of Massachusetts Boston under the Engineering program (CFDA 47.041) for an Engineering Research Initiation (ERI) project running from October 1, 2025, through September 30, 2027. This project will deliver integrated simulation tools and analytical frameworks for evaluating communication-based cyberattacks on electric grid infrastructure,...
- 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 National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a $817,946 Project Grant to the University of California, Berkeley on September 1, 2025, under the Engineering program (CFDA 47.041) to develop scalable Bayesian online learning methods for digital twins in power network resilience. The primary deliverables include: (1) scalable ensemble Markov Chain Monte Carlo methods for estimating uncertain and complex...
- 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...
- This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $365,897 to the Regents of the University of Michigan - University of Michigan-Dearborn to enhance grid reliability and stability through the integration of distributed energy resources. Key goals include developing fundamental knowledge to assess real-world power grid reliability, novel control algorithms to improve grid stability, and a shared platform for...
- Federal Grant Award Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $198,792 to the University of Michigan-Dearborn under an Engineering Research Initiation (ERI) grant on June 1, 2026, with a completion date of May 31, 2028. This project delivers foundational research and technology development in contact-rich robotics, specifically advancing robot intelligence through contact-level reflexes and physical continual learning. The primary intellectual...
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded $200,000 to the University of Michigan-Dearborn through an Engineering Research Initiation (ERI) grant, effective October 1, 2025, through September 30, 2027. The award supports the development of predictive neural dynamics models designed to mitigate sensor-to-response latency in autonomous vehicles. The research team will develop machine learning algorithms capable of predicting sensory...
- Federal Project Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a $550,000 CAREER grant to the University of California, San Diego on July 15, 2025, under the Engineering program (CFDA 47.041). The five-year project, scheduled for completion on June 30, 2030, focuses on developing performance-guaranteed learning and control algorithms for real-world energy systems. The research addresses two primary applications: distribution...
Award Details: The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a Project Grant of $199,984.00 to the University of Michigan-Dearborn under the Engineering program (CFDA 47.041) on June 1, 2026, with a completion date of May 31, 2028. This Engineering Research Initiation (ERI) award supports a two-year research project focused on developing scalable machine learning frameworks for stability enhancement in inverter-dominated power systems. Products and Services: The project delivers intelligent, data-driven solutions that combine physics-informed neural networks with federated learning to monitor and control modern electric power grids as they increasingly rely on inverter-based resources such as distributed power generation and battery energy storage systems. Key deliverables include hybrid frameworks for real-time system behavior estimation and stability assessment; methods for accurate system modeling under limited data availability; decision-making algorithms for real-time stability enhancement; and open-source tools for utilities and researchers. The research addresses critical national energy security priorities by enabling safer, more reliable grid operation while reducing the risk of large-scale power outages. Additionally, the project supports workforce development through student training and educational components aligned with NSF's emphasis on building a skilled engineering workforce.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 5/18/26 |