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
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
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
- 1 2 3 Jane Z. Wang, UBC Department of Electrical and Computer Engineering, retrieved 2022-08-22
- 1 2 IEEE Signal Processing Letters editorial board, IEEE Signal Processing Society, 23 February 2016, retrieved 2022-08-22
- โ "47 SPS Members Elevated to Fellow", Inside Signal Processin Newsletter, IEEE Signal Processing Society, February 2017
- โ College of New Scholars, Artists and Scientists, 2017 Cohort (PDF), Royal Society of Canada, retrieved 2022-08-22
- โ 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
External links
- Home page
- Zhen Jane Wang publications indexed by Google Scholar