Yu leads the Laboratory for Emerging Devices and Circuits, where he and his team design energy-efficient computing systems based on emerging nanoelectronic devices. An example of his group’s work is the development of hardware accelerators for machine/deep learning with CMOS and beyond CMOS technologies.

The two areas in which Yu will present lectures include:

• Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine
• NeuroSim: A Benchmark Framework of Compute-in-Memory Hardware Accelerators from Devices/Circuits to Architectures/Algorithms

Yu has been a member of the ECE faculty since 2018. Prior to joining Georgia Tech, he was on the ECE faculty at Arizona State University for five years. Yu has received numerous awards over the last several years, including the ACM/IEEE Design Automation Conference 40 Under-40 Innovators Award, Semiconductor Research Corporation Young Faculty Award, ACM Special Interest Group on Design Automation Outstanding New Faculty Award, and IEEE Electron Devices Society Early Career Award. 

Yu has been active in IEEE CASS activities, including serving on the technical committee of Nanoelectronics and Gigascale Systems and the review committee of the IEEE International Symposium on Circuits and Systems (ISCAS). He currently serves as the associate editor of the IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JxCDC). More information on IEEE CASS can be found at https://ieee-cas.org/