Wong, Hiu Yung

Photo

Associate Professor,
Silicon Valley AMDT Endowed Chair in Electrical Engineering 

M-PAC Lab

Email

Preferred: hiuyung.wong@sjsu.edu

Telephone

Preferred: 408-924-3910

Education

  • Ph.D. EECS, University of California, Berkeley (2006)
  • M.Phil. Computer Science and Engineering, Chinese University of Hong Kong (2001)
  • B. Eng. Computer Engineering, Chinese University of Hong Kong (1999)

Bio

Hiu Yung Wong is an Associate Professor and Silicon Valley AMDT Endowed Chair in Electrical Engineering, San Jose State University. He received his Ph.D. degree in Electrical Engineering and Computer Science from the University of California, Berkeley in 2006. From 2006 to 2009, he worked as a Technology Integration Engineer in Spansion. From 2009 to 2018, he was a TCAD Senior Staff Application Engineer in Synopsys.

He received the Curtis W. McGraw Research Award from ASEE Engineering Research Council in 2022, the NSF CAREER award and the Newnan Brothers Award for Faculty Excellence in 2021, and Synopsys Excellence Award in 2010. He is the author of the book, "Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps".

His research interests include the applications of machine learning in simulation and manufacturing, cryogenic electronics, quantum computing, reliability simulations, wide bandgap devices (such as GaN, SiC, Ga2O3, and diamond) simulations, novel semiconductor devices design and Design Technology Co-Optimization (DTCO). His works have produced 1 book, 1 book chapter, more than 100 papers and 10 issued patents.

Major Awards:

  • 2022 Curtis W. McGraw Research Award (ASEE Engineering Research Council).
  • Silicon Valley AMDT Endowed Chair in Electrical Engineering, 2022
  • NSF CAREER Award, 2021
  • Newnan Brothers Award for Faculty Excellence, 2021.
  • Synopsys Excellence Award (1 out of every ~500 employees), 2010
  • Sir Edward Youde Memorial Fellowships for Overseas Studies, 2001

Services:

Classes:

 

Links

EE Deparment, SJSU

San Jose State University