Project Grant 2525849
- This Project Grant award for $374,558, provided by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering), supports research at the University of Florida to develop methods for monitoring the safety of cyber-physical systems (CPS) powered by artificial intelligence (AI). The key objectives are to devise an approach for computing the predictive confidence in the safety of a CPS experiencing anomalies, and to validate this on small-scale autonomous...
- This $270,913 federal Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program, supports research to develop qualitative and quantitative methodologies for assessing the safety of learning-enabled autonomous systems. The project, led by the Augusta University Research Institute, Inc. (AURI), will target foundational challenges in capturing uncertainties from environments and providing timely, comprehensive, and...
- This $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
- This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
- This $120,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The funding will support a collaborative research project focused on enhancing the safety and reliability of autonomous driving systems through the development of advanced detection and countermeasure techniques at the application, system, and...
- This $1,499,949 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance the safety of autonomous vehicle (AV) systems. The key focus areas include: Developing rational machine learning (ML) models that can accurately predict driving decisions based on valid rationales, rather than inappropriate extrapolations from common scenarios. Integrating hardware reliability into the...
- 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...
- The National Science Foundation awarded a $175,000 Project Grant to the University of Alabama from May 2021 through April 2023 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop cyber resilient localization and navigation technologies for autonomous vehicles. The Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and information science...
- This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of novel algorithms and computational frameworks to enable safe and reliable deployment of AI-driven autonomous systems. The project at the University of Southern California (USC) aims to design algorithms that use representation learning to summarize high-dimensional sensor data, such as from cameras and LiDAR, into compact...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $338,536 to George Mason University to enhance the safety and reliability of autonomous vehicle systems. The project aims to identify and mitigate vulnerabilities in the control software and machine learning components of autonomous vehicles through a combination of model-based and data-driven approaches for end-to-end resilience assessment and...
This federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $364,155.00 to the University of Alabama to develop new system monitoring techniques to improve the safety and reliability of complex autonomous cyber-physical systems. The project aims to enhance existing monitoring approaches by incorporating methods to handle noise, incomplete data, and machine learning components in these systems. Key deliverables include advancing both offline and online monitoring capabilities to enable more trustworthy safety assurance for autonomous systems such as self-driving cars, robotic assistants, and AI-powered medical tools. The project will contribute foundational techniques that can benefit other domains like robotics, transportation, and healthcare. The award period runs from January 1, 2026 through December 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $364.2k | 8/6/25 |