Dr. Justin Chueh
Dr. Justin Chueh is the Director of the Monolithic and Heterogeneous Integration Department at Etron Technology, and he holds a Ph.D. in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor. His research focused on low power circuit design and resonant clock generation and distribution, which led to the granting of four US patents that were later utilized in CPU products by AMD.
Dr. Chueh has extensive experience in the semiconductor industry, having previously worked for AMD and TSMC before joining Etron Technology in 2019. During his time at AMD, he led the exploration of new standard cell architecture, managed the Memory Compiler Team, and contributed to the development of CPUs and GPUs. At TSMC, he incubated new technology platforms for Lidar, ADAS, and mmWave applications, overseeing product development from definition to mass production.
Dr. Chueh has authored papers published in prestigious conferences and journals and has been granted eleven patents, with more pending. He currently serves on the Memory TPC at ISSCC and also served on the Memory TPC at A-SSCC 2022.
Etron Technology, Inc. (Taiwan GTSM: 5351) is a world-class fabless IC design and product company founded in February 1991, specializing in buffer memory and system-on-chips. The development of semiconductors towards AI is driving the rise of the integration of technology, life, and wisdom into a new economy with huge business opportunities. This causes the emergence of technological innovation, application, and healthy ecology to support sustainability. Etron Tech Group uses IC products to practice “Multiple Pervasive IntelligenceN Application” which endows electronic products with AI that provide the capabilities of brains, eyes, nerves, and privacy. This is all to develop innovative products and enrich life values. Etron’s Smart Memory – buffer memory products – acts like brain memory. Its USB4.0 (Type-C) PD products are like nerves that provide connectivity and the 3D Eyes/XR/eCapture ICs are like eyes that provide multiple vision computations (MultipleVision Computing) for machines. The premise is to provide data analysis with personal information protection through private computing, so the era of big data has more privacy.