Project Grant 2337998
- 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 three-year $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support research to advance the practical application of distributed learning-enabled control systems. The University of Pennsylvania and Columbia University will collaborate on developing foundational theory and integrated approaches for scalable and communication-efficient distributed control. This includes...
- This three-year, $240,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support collaborative research between Columbia University and the University of Pennsylvania on scalable and communication-efficient learning-based distributed control. The researchers will develop a foundational and integrated theory of distributed learning-enabled control and approximated distributed...
- 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...
- 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 $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 $400,601 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop rigorous scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS), with a focus on connected and autonomous transportation systems (CATS). The key research thrusts include: 1) Modeling cyber, physical, and human assets and their interconnections, as well as economic and policy constraints, to...
- This collaborative research project, funded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070), will develop robust optimization-based control algorithms and real-time scheduling techniques for cyber-physical systems (CPS) operating under computational constraints. The $563,370 award, effective August 1, 2025 through July 31, 2028, focuses on co-designing control algorithms robust to...
- 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 from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems supports research to develop low-complexity, safe learning-enabled algorithms for partially observable nonlinear systems with uncertain dynamics. The $400,000 award to Michigan State University aims to accomplish two key objectives: 1) Propose direct data-driven learning approaches for backup safe control policies in partially observable nonlinear systems, and 2) Introduce...
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 detecting these attacks The research seeks to uncover vulnerabilities in how learning-based controllers in CPS can be deceived through manipulated information patterns, enabling the development of resilient, secure-by-design control systems. This work has direct applicability to critical domains such as remote sensing, smart infrastructure, and robotics. The project runs from July 1, 2024 to June 30, 2027 and is being conducted solely by the University of South Carolina.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/5/24 |