NSF award 2419883 · Oakland University

Collaborative Research: SHF: Small: Fault Localization for Deep Learning

Final report due

28 September 2029

in 1,076 days · The award ends on 31 May 2029.

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Decide about an extension31 Jan 2029in 836 days
award ending 2029-05-31 · Research.gov
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Extension request16 Apr 2029in 911 days
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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2029in 946 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2029in 1076 days
award ending 2029-05-31 · 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 31 May 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2029.

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Award card

Award number: 2419883
Period of support: 1 Jun 2026 – 31 May 2029
Amount: $223,992
Awardee: Oakland University, Rochester, MI
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

This project will study deep learning, a class of machine learning algorithms based on deep neural networks (DNNs) that are becoming increasingly popular due to their successful applications in many areas, such as healthcare, transportation, and entertainment. DNN programs, like any other software, may contain faults that might undermine their safety and reliability in mission-critical applications. Software…

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