School of Engineering
Showing 121-140 of 1,007 Results
-
Edward Y. Chang
Acting Professor, Computer Science
BioEdward Chang, a pioneer working on data-centric parallel machine learning since 2005. He is an adjunct professor at Stanford CS department. He also serves as the CTO of AILLY.ai. Prior to his current posts, Ed was the president of HTC Healthcare BU (DeepQ) from 2012 to 2021. Between 2006 and 2012 he served as a director of research at Google, leading research and development in areas including scalable machine learning, indoor localization, Google Q&A, and recommendation systems. Between 1999 and 2006, Ed was a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara. He joined UCSB in 1999 after receiving his MS in CS and PhD in EE degrees, both from Stanford University. He is a recipient of the NSF Career award, Google Innovation award, US$1M Tricorder XPRIZE (AI for disease diagnosis) award, and ACM SIGMM test-of-time award. Ed is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare.
For further details, please visit https://en.wikipedia.org/wiki/Edward_Y._Chang -
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.
