Project Grant 2516189
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a research project titled "A Cross-Domain Approach to Improving the Attack Resilience of Robotic Systems" at the University of Texas at Dallas (UTD). The $309,669 award, effective from August 1, 2025 to July 31, 2030, aims to develop a comprehensive security framework that models and protects the complex interdependencies between computational...
- This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) grant award of $500,000 supports research to develop a scientific methodology for strengthening the cybersecurity and operational resilience of distributed manufacturing enterprises. The research, performed by Georgia Tech Research Corporation, utilizes machine learning and artificial intelligence to create decentralized data analytics models that can detect stealthy cyber threats in digitally interconnected manufacturing...
- 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 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 $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...
- This $230,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the University of Connecticut focused on creating a novel computational paradigm called "SMART-RECOVER" to establish resilience against stealthy cyberphysical attacks on digital manufacturing systems. The key research objectives include: (1) pre-fabrication reconstruction of digital geometric models altered by attacks, (2) in-process remodification of...
- The National Science Foundation awarded a $378,570 Project Grant to the Georgia TECH Research Corporation from September 1, 2021 through August 31, 2024 under the Engineering program (CFDA 47.041). The grant funds research on A GEOMETRIC APPROACH FOR GENERALIZED ENCRYPTED CONTROL OF NETWORKED DYNAMICAL SYSTEMS. The NSF Directorate for Engineering seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research and education. This award will...
- 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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $108,510 to the University of Houston System to develop a comprehensive solution for securing industrial control systems (ICS) against cyber-attacks. The key objectives are to integrate human-on-the-loop explainable machine learning, detection, and recovery control in an operator-automation shared protection framework to ensure the security and safety of critical infrastructure ICS....
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to address critical vulnerabilities in remotely controlled robotic systems. The $691,375 award, with a performance period from September 1, 2025 to August 31, 2028, will fund a comprehensive study of a sophisticated class of cyber attacks known as affine transformation-based false data injection attacks. The research aims to advance fundamental knowledge in robotic cybersecurity, while also training graduate students in the interdisciplinary fields of robotics, cybersecurity, and mathematical theory. The project's goal is to develop a comprehensive theoretical framework to understand and defend against these attacks, which can remain undetectable by conventional security measures but can cause property damage, personal injury, or disruption of essential services. The award recipient is the Georgia Tech Research Corporation, which has extensive experience conducting advanced research and development for federal agencies across various scientific and technological domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $691.4k | 8/28/25 |