Jane Z. Wang

BSc (Tsinghua, China), MSc and PhD (Connecticut, USA) 

Office: KAIS 4015
Phone: (604) 822-3229
Fax: (604) 822-5949
Email: zjanew@ece.ubc.ca




Jane Wang has been a Professor in the Department of Electrical and Computer Engineering at UBC since 2004. Dr. Wang received her BSc from Tsinghua University, China, in 1996, with the highest honour, and her MSc and PhD from the University of Connecticut in 2000 and 2002 (under the supervision of Dr. Peter Willett), respectively, all in electrical engineering. While at the University of Connecticut, Dr. Wang received the Outstanding Engineering Doctoral Student Award. She has been a Research Associate of The Electrical and Computer Engineering Department and at The Institute for Systems Research at the University of Maryland, College Park, working with Dr. K. J. Ray Liu’s group.

She is an IEEE Fellow, a Fellow of the Canadian Academy of Engineering (FCAE) and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada.  Her research interests are in the broad areas of signal/image processing and machine learning, with current focuses on digital media and biomedical data analytics. She has published 180+ journal papers and 120+ peer-reviewed conference papers. She has been key Organizing Committee Member for numerous IEEE conferences and workshops (e.g., the co-Technical Chair for ChinaSIP2014, GlobalSIP2017 and ICIP2021, and the co-General Chair of MMSP2018 and DSLW2021). She has been Associate Editor for the IEEE TSP, SPL, TMM, TIFS, TBME, and SPM, and Area Editor of SPM, and she is currently serving as Editor-in-Chief for IEEE SPL.

Research Interests

Signal/image processing, machine learning/deep learning, biomedical data analysis and modelling, digital media security and forensics

Research Areas

Research Group


  • ELEC 341 – Systems and Contol
  • ELEC 421 — Digital Signal and Image Processing
  • ELEC 422 – Biosignals and Sytems
  • EECE 562 – Statistical Signal Processing with Applications in Wireless Communications and Defence
  • EECE 586 – Wavelets, Principles and Applications in Signal Processing

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