Special Presentation by Aydin Aysu (North Carolina State U., USA)
Hosted by the Future Networks Artificial Intelligence & Machine Learning (AI/ML) Working Group
Date/Time: Thursday, 4 June 2026 @ 6 PM Eastern Time (3 PM Pacific Time)
Topic:
AI-Guided Hardware Programming for Post-Quantum Cryptosystems
Abstract:
We explore the use of the English language with the help of large language models (LLMs) and reference software as a way to automate the hardware design for post-quantum cryptography (PQC). To that end, we analyze recent algorithms and their building blocks that are being standardized by the National Institute of Standards and Technology (NIST). Our results show that, with some effort and engineering help, LLMs can help generate functional code that is synthesizable on FPGAs with reasonably comparable area-delay results. Given the rapid enhancement in the development of LLMs, we argue that the future of post-quantum cryptography hardware could be entirely drawn from natural language.
Speaker:
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Aydin Aysu is an associate professor and University Faculty Fellow at the Electrical and Computer Engineering Department of North Carolina State University, where he leads HECTOR: Hardware Cybersecurity Research Lab. He received his Ph.D. from Virginia Tech and was a post-doctoral researcher at the University of Texas at Austin before joining NC State. Dr. Aysu’s interests are broadly in hardware security research and cybersecurity education. His hardware security research has won the NSF CAREER, Google Research Scholar, Bennet Faculty Fellow, and Goodnight Innovation Fellow awards, three best paper awards from DATE, HASP, and GLS-VLSI, two IEEE CEDA hardware security top picks, one IEEE Micro top picks, and one DAC publicity paper award. He is also the president of mithrilAI, an early-stage start-up developing secure AI hardware. |
Brochure (PDF): Webinar-AIML-2026-06-04-Aysu-AIHWPQC-Brochure.pdf