NSF award 2502050 · Rochester Institute of Tech

ERI: A New Uncertainty Modeling Framework for Snapshot Compressive Imaging

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
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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: 2502050
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $200,000
Awardee: Rochester Institute of Tech, Rochester, NY
Program: ERI-Eng. Research Initiation
Directorate: ENG

Abstract

Computational imaging technologies are increasingly required to operate in real-world applications, offering high-fidelity visual output under complex lighting environments. Among these, snapshot compressive imaging (SCI) is a promising technique that retrieves high-dimensional signals from 2D optically compressed measurements. Incorporating modern AI techniques, SCI has significantly advanced the capabilities of…

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