Beyond Human Intuition: AI-Designed Radio-Frequency and Terahertz Circuits
Kaushik Sengupta
Professor of Electrical and Computer Engineering
Director, Integrated Micro-systems Research Laboratory
Co-Director, Princeton NextG
Princeton University
About the Lecture
The use of artificial intelligence and machine-learning methods to design radio-frequency, millimeter-wave and terahertz circuits that differ substantially from conventional human-designed circuits. The lecture may examine how AI can search extremely large design spaces, generate structures that appear unintuitive to human engineers, and in some applications produce circuits or electromagnetic systems that outperform traditional designs made for the same purpose.
About the Speaker
Dr. Sengupta’s research has focused on integrated circuits and microsystems operating from radio frequencies through millimeter-wave, terahertz and optical frequencies. His work combines circuit design, electromagnetics, antennas, signal processing, machine learning and artificial intelligence to develop new systems for communications, sensing, imaging and biomedical applications, including unconventional circuit and electromagnetic structures discovered through computational and AI-assisted design.