UBC engineering professor elected to Royal Society of Canada's College of New Scholars, Artists and Scientists

Jane Wang

Z Jane Wang, PEng, a professor in UBC’s Department of Electrical and Computer Engineering, has been named a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists (the College).

An expert on statistical signal processing theory, which has applications to multimedia security, wireless communications and biomedicine, Wang was recognized by the Royal Society of Canada (RSC) for her "landmark and pioneering contributions" to the field.

Wang holds a BSc in electrical engineering from Tsinghua University and an MSc and PhD in electrical engineering from the University of Connecticut, where she received the Outstanding Engineering Doctoral Student Award in 2002. She then served as a research associate at the Institute for Systems Research at the University of Maryland before joining the UBC faculty in 2004.

Wang is the recipient of a Junior Early Career Scholar Award from UBC’s Peter Wall Institute for Advanced Studies and the co-recipient of best paper awards from the IEEE Signal Processing Society and the European Association for Signal Processing. She is also the co-author of a book on multimedia forensics, Multimedia Fingerprinting Forensics for Traitor Tracing, and over 100 refereed papers.

Established as an entity of the Royal Society of Canada in 2014, the College identifies and brings together mid-career scholars, artists and scientists who have achieved excellence in their disciplines. It also aims to advance understanding and improve society by promoting "the interaction of diverse intellectual, cultural and social perspectives.”

Wang and the other new members of the College will be inducted on November 24, 2017, during the Royal Society of Canada's Celebration of Excellence weekend at the Fairmont Winnipeg Hotel in Winnipeg.

Wang’s full citation from the Royal Society of Canada reads as follows:

Z. Jane Wang is an outstanding, internationally renowned researcher in statistical signal processing (SSP) theory and applications. She has invented powerful methodologies for a wide range of SSP problems and applications, especially in anti-collusion media fingerprinting and brain connectivity network inference. Her landmark and pioneering contributions to the areas of multimedia security and neurological data analytics have been acknowledged with international awards, and by her elevation to IEEE Fellow grade.