Event Details

The von Neumann bottleneck significantly increases energy consumption and processing delays in modern computing systems, especially for data-intensive tasks such as real-time RF signal processing. Memristor-based in-memory computing addresses this challenge by performing computations directly within analog memory arrays. In this seminar, I will present a memristor-based analog system-on-chip (SoC) designed for real-time RF signal processing. This innovative SoC integrates real-time Discrete Fourier Transform (DFT) computation and neural network processing within a unified analog memristor framework. Furthermore, due to the inherent robustness of memristors in extreme environments, including radiation exposure and high-temperature conditions, this technology is highly suitable for harsh environment applications. Our analog SoC demonstrates substantial improvements in energy efficiency and throughput compared to traditional digital computing systems, making it a promising solution for next-generation RF signal processing applications under extreme conditions.

June 6, 2025

Join Zoom Meeting
https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon
Meeting ID: 970 1742 2125
Passcode: 937624

Host: Steve Crago
POC: Amy Kasmir

Speaker Bio

J. Joshua Yang is the Arthur B. Freeman Chair Professor in the Department of Electrical and Computer Engineering at the University of Southern California (USC). His research focuses on post-CMOS hardware for neuromorphic computing, machine learning, and artificial intelligence, in which he has published several pioneering papers and holds over 120 granted U.S. patents. Dr. Yang is the Founding Chair of the IEEE Neuromorphic Computing Technical Committee, Director of the USC–Air Force Center of Excellence on Neuromorphic Computing, and Co-Founder of TetraMem Inc. He has received numerous honors, including the USC senior faculty research award and the Powell Faculty Research Award. He serves as an Associate Editor for associate editor of Science Advances (AAAS), ED-M (IEEE), PNAS (NAS). Dr. Yang is a Clarivate™ Highly Cited Researcher and ranked among the Top Scientists by Research.com. He is a Fellow of IEEE and the National Academy of Inventors (NAI), recognized for his seminal contributions to resistive switching materials and devices for non-volatile memory and neuromorphic computing.