NSF award 2603392 · Northeastern University

Collaborative Research: CIF: Small: Designing Plotkin Transform Codes via Machine Learning

Final report due

28 September 2027

in 345 days · The award ends on 31 May 2027.

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Decide about an extension31 Jan 2027in 105 days
award ending 2027-05-31 · Research.gov
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Extension request16 Apr 2027in 180 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2027in 215 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2027in 345 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2027in 345 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2027in 345 days
award ending 2027-05-31 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2027.

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Award card

Award number: 2603392
Period of support: 1 Jan 2026 – 31 May 2027
Amount: $299,999
Awardee: Northeastern University, Boston, MA
Program: Comm & Information Foundations
Directorate: CSE

Abstract

Reliable communication, enabled by codes, is a primary workhorse of the information age. Successful code design (e.g., convolutional codes, Turbo codes, low-density parity-check codes, and polar codes) is sporadic and largely a product of individual human ingenuity, although the impact on humanity is enormous -- every cellphone designed uses one of these codes. In this project, we bring the tools of machine learning…

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