NSF award 2552579 · Louisiana Tech University

ERI: Flexible, Adaptive, and Explainable Anomaly Detection under Distribution Shift in Multivariate Time Series

Final report due

28 September 2028

in 711 days · The award ends on 31 May 2028.

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Dates this award owes

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Decide about an extension1 Feb 2028in 471 days
award ending 2028-05-31 · Research.gov
This one is ours, not NSF’s.
Extension request16 Apr 2028in 546 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2028in 581 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2028in 711 days
award ending 2028-05-31 · 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 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2028.

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Award card

Award number: 2552579
Period of support: 1 Jun 2026 – 31 May 2028
Amount: $185,210
Awardee: Louisiana Tech University, Ruston, LA
Program: OE Operations Engineering
Directorate: ENG

Abstract

This Engineering Research Initiation (ERI) grant will fund research that seeks to develop adaptive and explainable monitoring methods supporting real-time operational decision-making under uncertainty. Modern engineering systems, including manufacturing, energy infrastructure, and aerospace platforms, rely on continuous monitoring to operate safely and efficiently. Although these systems generate large volumes of…

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