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Zhen Jane Wang

From Wikipedia, the free encyclopedia

Zhen Jane Wang is a Chinese-Canadian signal processing researcher whose research includes work on statistical signal processing, image fusion, digital video fingerprinting, biological network inference, and deep learning. She is a professor in the Department of Electrical and Computer Engineering at the University of British Columbia,[1] and the editor-in-chief of IEEE Signal Processing Letters.[2]

Education and career

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Wang graduated from Tsinghua University in 1996. She went to the University of Connecticut for graduate study in electrical engineering, earning a master's degree in 2002 and completing her Ph.D. in 2002. Her doctoral supervisor there was Peter K. Willett.[1]

After postdoctoral research at the University of Maryland, College Park from 2002 to 2004, Wang joined the faculty of the University of British Columbia in 2004.[1]

She is editor-in-chief of the signal processing journal IEEE Signal Processing Letters.[2]

Recognition

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In 2017, Wang was elected as an IEEE Fellow, "for contributions to statistical signal processing for multimedia security and brain data analytics".[3] Wang is a Fellow of the College of New Scholars, Artists and Scientists of the Royal Society of Canada, elected into the cohort of 2017.[4] She was elected to the Canadian Academy of Engineering in 2018.[5]

References

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  1. ^ a b c Jane Z. Wang, UBC Department of Electrical and Computer Engineering, retrieved 2022-08-22
  2. ^ a b IEEE Signal Processing Letters editorial board, IEEE Signal Processing Society, 23 February 2016, retrieved 2022-08-22
  3. ^ "47 SPS Members Elevated to Fellow", Inside Signal Processin Newsletter, IEEE Signal Processing Society, February 2017
  4. ^ College of New Scholars, Artists and Scientists, 2017 Cohort (PDF), Royal Society of Canada, retrieved 2022-08-22
  5. ^ Zhen (Jane) Wang, an alumnus of 1991 in of DEE, Tsinghua University, was elected a fellow of the Canadian Academy of Engineering in 2018, Tsinghua University, retrieved 2022-08-22
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