Project Grant 2134076
- This $199,867 National Science Foundation project grant supports research at the University of Michigan to develop formal methodologies for synthesizing cyber-secure and resilient control logic for networked discrete-event systems subject to cyber attacks. Funded under the NSF Engineering program (CFDA 47.041), the three-year project commencing September 2022 aims to enhance the reliability of advanced control systems through model-based approaches. Researchers will extend diagnosability...
- This three-year, $425,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at The Pennsylvania State University to develop provably secure, online learning-based adaptive cyber defenses for real-world servers. The research aims to provide mathematically rigorous guarantees by synthesizing new models integrating machine learning, game theory, and control theory. It will...
- This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to characterize the vulnerabilities of learning-based controllers in networked cyber-physical systems (CPS). The $149,985 award will enable the University of Alabama in Huntsville (UAH) to develop real-time reward manipulation schemes, multi-level attack strategies, and data-enabled detection methods to...
- This $300,027 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop secure and trustworthy learning-based control systems for cyber-physical systems (CPS). The project aims to: a) Develop a real-time reward manipulation scheme for learning-based controllers b) Design multi-level attack schemes on reward signals in a distributed CPS control architecture c) Develop data-enabled strategies for...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, CFDA #47.070, provides $253,618 to Michigan State University from October 1, 2022 to September 30, 2025. The funding supports research into collaborative reinforcement learning approaches for multi-robot systems that ensure safety and privacy protection. The researchers will develop a model-enabled technique combining model-based safety with model-free reinforcement learning,...
- This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $175,000 in funding to the Regents of the University of Michigan, doing business as the University of Michigan-Dearborn, for a 2-year project from March 2024 to February 2026. The project aims to develop innovative model-based verification techniques to analyze the safety, reliability, and accuracy of cyber-physical systems (CPS) integrated...
- This $540,362 National Science Foundation (NSF) Engineering Program (CFDA 47.041) project grant, awarded to the University of Wisconsin-Madison, aims to develop novel methodologies that integrate modeling, detection, and control measures for understanding the cyber-physical resilience of continuous critical manufacturing systems. The key research objectives include: 1) developing generalizable tools for cyber-physical resilience quantification, 2) rethinking cyber-physical resilience-driven...
- The National Science Foundation awarded a $250,000 Project Grant to the Georgia Tech Research Corporation from October 1, 2022 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research to develop proactive and reactive adversarial learning techniques for cyber-physical-human systems, with a focus on increasing resilience in autonomous vehicles. Key outcomes include policies to provide robustness against adversarial...
- 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...
- This $1,722,089 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop rigorous, scientific mechanisms to enable resilience in large-scale cyber-physical systems (CPS) against various perturbations. The award to Purdue University, effective June 15, 2024 through May 31, 2029, will focus on modeling and understanding the impacts of unintended errors, security attacks, unexpected interactions, and...
This $200,000 National Science Foundation Project Grant supports research at Michigan State University to develop data-driven modeling techniques for securing cyber-physical systems. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the two-year award will create automated strategies using reinforcement learning to characterize attacker intent. Researchers will integrate defense approaches combining game theory, reinforcement learning and Bayesian optimization to guide cyber-physical system security strategies. The project will evaluate methods through realistic simulations using emulated sensor and actuator data from intelligent buildings. Outcomes aim to benefit critical infrastructure and supply chain security. The university will provide training for one PhD student and undergraduate researchers, with outreach activities engaging K-12 students in science and engineering. Results will enrich a graduate course on non-cooperative game theory and be publicly documented through an associated website.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 2/23/22 |