NSF award 2541066 · Cornell University

CAREER: Robust Learning via Optimal Transport

Final report due

29 July 2031

in 1,745 days · The award ends on 31 March 2031.

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Decide about an extension1 Dec 2030in 1505 days
award ending 2031-03-31 · Research.gov
This one is ours, not NSF’s.
Extension request14 Feb 2031in 1580 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2031in 1615 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2031in 1745 days
award ending 2031-03-31 · 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 March 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2031.

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Award card

Award number: 2541066
Period of support: 1 Apr 2026 – 31 Mar 2031
Amount: $670,000
Awardee: Cornell University, Ithaca, NY
Program: EPCL: Energy, Power, Control,
Directorate: ENG

Abstract

This NSF CAREER project aims to develop the mathematical tools required to build robust Artificial Intelligence (AI) systems that remain reliable in unpredictable, real-world conditions. While current AI models are highly effective in controlled settings, they can be fragile when faced with unexpected data shifts or adversarial attacks where data is geometrically manipulated to cause errors. The project will advance…

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