NSF award 2502132 · University of North Dakota Main Campus

ERI: An Edge-Based Staleness-Resilient Data Synthesis Framework for Edge AI application in Network Measurement

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

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Award card

Award number: 2502132
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $199,993
Awardee: University of North Dakota Main Campus, Grand Forks, ND
Program: ERI-Eng. Research Initiation
Directorate: ENG

Abstract

As digital infrastructure grows increasingly dependent on real-time data from distributed sensors and devices, the need to monitor network traffic locally and reliably becomes crucial. This project addresses a critical challenge in edge computing, i.e., how to provide accurate and up-to-date data to Edge AI applications while preserving user privacy and minimizing communication overhead. Traditional methods struggle…

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