Project Grant 2104999
Award Date
5/1/21
Completion Date
4/30/23
Dollars Obligated
$175K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Tuscaloosa, AL 35486, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program provides $205,557 to the University of Alabama to conduct research and education related to cyber-resilient navigation for autonomous systems. The key objectives are to: (1) understand and assess cyber threat uncertainties of integrated positioning and navigation systems, (2) model self-learning based cyber-attacks, (3) formulate cyber-attack detection algorithms,...
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...
The National Science Foundation (NSF) awarded a $132,605 project grant under its Engineering program (CFDA 47.041) to the University of Southern California (USC) Department of Contracts and Grants. This grant will fund research to advance the state-of-the-art in connected and automated vehicle (CAV) systems through innovations in networking, sensing, and edge computing. The research team will develop an integrated platform that strategically aggregates wireless communication technologies,...
The National Science Foundation Division of Computer and Network Systems awarded a $177,840 Project Grant to the University of Alabama's Office for Sponsored Programs to support collaborative research towards sustainable, efficient, and secure Internet of Things. The award period is from October 1, 2021 through September 30, 2023. The grant is funded through the Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education...
The University of Alabama in Huntsville will receive $199,647 from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: SHF: SMALL: LEARNING FAULT TOLERANCE AT SCALE" from January 1, 2022 to December 31, 2024. The funding will support investigator-initiated research to advance the development and use of cyberinfrastructure to enable and accelerate discovery...
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 $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 $174,964 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations supports research under the Computer and Information Science and Engineering program. The grant funds development of a novel sparse framework for automotive radar sensing to enable high-resolution environmental perception for autonomous vehicles. Key products include algorithms applying matrix completion to irregular sparse arrays, achieving high angular resolution with low-cost...
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...