NSF award 2436155 · New York University

Collaborative Research: SaTC: CORE: Small: Evaluating the Security Landscape of Machine Learning Enabled Electronic Design Automation

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2436155
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $420,000
Awardee: New York University, NEW York, NY
Program: Secure &Trustworthy Cyberspace
Directorate: CSE

Abstract

Machine learning (ML) and artificial intelligence (AI) technologies are being adopted for a wide range of applications. This has spurred interest in the use of ML and AI for chip design. Chip design is currently heavily automated using electronic design automation (EDA) software. Recent work has shown that AI and ML methods can further increase the level of automation as well as improve the quality of existing EDA…

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