NSF award 2621493 · University of Wisconsin-Madison

CAREER: Advancing Efficient Global Optimization of Extremely Expensive Functions under Uncertainty using Structure-Exploiting Bayesian Methods

Final report due

28 November 2028

in 772 days · The award ends on 31 July 2028.

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Decide about an extension2 Apr 2028in 532 days
award ending 2028-07-31 · Research.gov
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Extension request16 Jun 2028in 607 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2028in 642 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2028in 772 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2028in 772 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2028in 772 days
award ending 2028-07-31 · 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 July 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2028.

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Award card

Award number: 2621493
Period of support: 15 Feb 2026 – 31 Jul 2028
Amount: $517,535
Awardee: University of Wisconsin-Madison, Madison, WI
Program: Proc Sys, Reac Eng & Mol Therm
Directorate: ENG

Abstract

Mathematical optimization is the process of maximizing a performance or quality indicator by identifying the best possible value among the set of all feasible options. Optimization problems arise in virtually all human endeavors related to decision making including engineering, economics, sustainability, healthcare, and manufacturing. Instances of such optimization problems are particularly challenging to solve…

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