School of Engineering
Showing 21-40 of 83 Results
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Edward Y. Chang
Acting Professor, Computer Science
BioEdward Y. Chang has been an adjunct professor in Stanford’s Computer Science Department since 2019. Previously, he was a tenured professor at UC Santa Barbara. From 2006 to 2012, he served as a director at Google Research, where he pioneered data-centric and parallel machine learning and contributed to the ImageNet project. Chang later became president of HTC Healthcare, where he developed AI-powered diagnostics and won the Tricorder XPRIZE. He has also held positions at HKUST and UC Berkeley. Chang earned an MS in Computer Science and a PhD in Electrical Engineering from Stanford. He is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare AI.
Since 2019, Chang’s research has focused on virtual assistance, collaborating with Monica Lam, and more recently on large language models (LLMs). He hypothesizes that LLM Collaborative Intelligence (LCI) could pave the way toward artificial general intelligence (AGI).
Chang has authored seven books, including:
Unlocking the Wisdom of Large Language Models (2024)
LLM Collaborative Intelligence: The Path to Artificial General Intelligence (2024)
Journey of the Mind (Poetry, 2023)
Mandarin translation of Erwin Schrödinger’s What is Life? Mind and Matter (2021)
Big Data Analytics for Large-Scale Multimedia Search (2019)
Nomadic Eternity (Poetry, 2012)
Foundations of Large-Scale Multimedia Information Management and Retrieval (2011) -
Jian Chen
Adjunct Professor, Electrical Engineering
BioRetired executive with 30 years of experience in NOR, 2D NAND and 3D NAND flash memories, in the areas of device physics, process integration, reliability, test & product engineering, memory systems architecture, eco-systems and new business development. With a passion for innovation and practical solutions and teamwork, built multiple teams from ground up including at international sites.
Inventor of >150 US patents and some significant ideals that have been used in over 10 generations of NAND memory chip and systems, such as binary cache for MLC (USP# 5,930,167 ), fast MLC NAND writing method GPW (USP# 6,522,580 and 6,643,188 ), read method to correct cell to cell coupling effect (USP#5,867,429), NAND memory WL air-gap (USP# 7,045,849 ), and highly reliable systems EPWR (USP#8,214,700, 8,386,861 aka EPWR).
Published the paper that coined the term GIDL, and the first paper that identified the physics of the GIDL current as due to band-to-band tunneling.
Google scholar h-index 57.
