School of Engineering
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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 -
Fu-Kuo Chang
Professor of Aeronautics and Astronautics
BioProfessor Chang's primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, intelligent self-sensing diagnostics, and multifunctional energy storage composites for transportation vehicles as well as safety-critical assets and medical devices. His specialties include embedded sensors and stretchable sensor networks with built-in self-diagnostics, integrated diagnostics and prognostics, damage tolerance and failure analysis for composite materials, and advanced multi-physics computational methods for multi-functional structures. Most of his work involves system integration and multi-disciplinary engineering in structural mechanics, electrical engineering, signal processing, and multi-scale fabrication of materials. His recent research topics include: Multifunctional energy storage composites, Integrated health management for aircraft structures, bio-inspired intelligent sensory materials for fly-by-feel autonomous vehicles, active sensing diagnostics for composite structures, self-diagnostics for high-temperature materials, etc.