NSF award 2500079 · University of the District of Columbia

Research Initiation Award: Leveraging Machine Learning for Secure and Privacy-Preserving Vehicular Cyber-Physical Systems (VCPS)

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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award ending 2029-09-30 · Research.gov
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Extension request16 Aug 2029in 1033 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2029in 1068 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 30 September 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2030.

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Award card

Award number: 2500079
Period of support: 1 Oct 2026 – 30 Sep 2029
Amount: $450,000
Awardee: University of the District of Columbia, Washington, DC
Program: Hist Black Colleges and Univ
Directorate: EDU

Abstract

Connected and automated vehicles depend on reliable communication among vehicles, roadway infrastructure, sensors, and control systems. Cyberattacks can block safety messages, alter information exchanged inside a vehicle, or expose sensitive location and driving data. The project will develop machine learning methods to improve the security, resilience, privacy, and safety of connected transportation. Research…

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