Zhou Wang
Professor and Tier 1 Canada Research Chair
Email: zhou.wang@uwaterloo.ca
Location: E5 5113
Phone: 519-888-4567 x35301
Status: Active
Biography
Zhou Wang is a Professor at the University of Waterloo in the Department of Electrical and Computer Engineering. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of Royal Society of Canada (RSC) – Academy of Science, a Fellow of Canadian Academy of Science (CAE), and a certified Professional Engineer. He is a recipient of 2021 Faculty of Engineering Excellence in Graduate Supervision Award, 2021 Technology Emmy Award, 2017 IEEE Signal Processing Society Sustained Impact Paper Award, 2015 Primetime Engineering Emmy Award, 2014 NSERC E.W.R. Steacie Memorial Fellowship Award, 2013 IEEE Signal Processing Magazine Best Paper Award, 2009 IEEE Signal Processing Society Best Paper Award, 2013 NSERC Discovery Accelerator Supplement, and 2009 Ontario Early Researcher Award. Prof. Wang served on the Editorial Boards of IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal of Selected Topics in Signal Processing, and IEEE Signal Processing Letters, among may other international journals. He also served on the IEEE Image, Video and Multidimensional Signal Processing, and IEEE Multimedia Signal Processing Technical Committees.
Professor Wang’s research interests include signal and image processing, computational vision and pattern analysis, multimedia coding and communications, and biomedical signal and image processing. He has more than 200 published journal and conference papers in the field with over 80,000 citations.
Professor Wang’s research interests include signal and image processing, computational vision and pattern analysis, multimedia coding and communications, and biomedical signal and image processing. He has more than 200 published journal and conference papers in the field with over 80,000 citations.
Research Interests
- Image processing
- Digital signal processing
- Computational vision
- Pattern recognition
- Machine Learning
- Multimedia communications
- Image and video compression
- Visual perception
- Biomedical signal processing
- Medical imaging
Education
- 2001, Doctorate Electrical and Computer Engineering, University of Texas at Austin, United States
- 1995, Master's Electronic and Communication Engineering, South China University of Technology, China
- 1993, Bachelor's Electronic & Information Engineering, with minor in Applied Mathematics, Huazhong University of Science and Technology, China
Awards
- 2021 Faculty of Engineering Award of Excellence in Graduate Supervision
- 2021 Technology Emmy Award, National Academy of Television Arts and Sciences
- 2019 Tier 1 Canada Research Chair in Multimedia Quality-of-Experience
- 2018 Fellow of Royal Society of Canada - Academy of Science
- 2017 Faculty of Engineering Research Excellence Award
- 2016 Fellow of Canadian Academy of Engineering
- 2018 University Research Chair
- 2015 Primetime Engineering Emmy Award, Academy of Television Arts and Sciences
- 2014 NSERC Steaciea Memorial Fellowship
- 2014 Fellow of IEEE
- 2009 Early Researcher Award
Teaching*
- ECE 313 - Digital Signal Processing
- Taught in 2022, 2023, 2024
- ECE 413 - Digital Signal Processing
- Taught in 2020
- ECE 417 - Image Processing
- Taught in 2022, 2023, 2024
- ECE 613 - Image Processing and Visual Communication
- Taught in 2019, 2020, 2022, 2023, 2024
- ECE 710 - Special Topics in Communications and Information Theory
- Taught in 2021
* Only courses taught in the past 5 years are displayed.
Selected/Recent Publications
- Ma, Kede and Duanmu, Zhengfang and Wang, Zhou and Wu, Qingbo and Liu, Wentao and Yong, Hongwei and Li, Hongliang and Zhang, Lei, Group maximum differentiation competition: model comparison with few samples, IEEE Transactions on Pattern Analysis and Machine Intelligence, 851, 2020
- Ma, Kede, and Liu, Wentao and Zhang, Kai and Duanmu, Zhengfang and Wang, Zhou and Zuo, Wangmeng, End-to-end blind image quality assessment using deep neural networks, , IEEE Transactions on Image Processing, 1202, 2018
- Duanmu, Zhengfang and Zeng, Kai and Ma, Kede and Rehman, Abdul and Wang, Zhou, A quality-of-experience index for streaming video, IEEE Journal of Selected Topics in Signal Processing, 154, 2017
- Wang, Jiheng and Rehman, Abdul and Zeng, Kai and Wang, Shiqi and Wang, Zhou, Quality prediction of asymmetrically distorted stereoscopic 3D images, IEEE Transactions on Image Processing, 3400, 2015
- Yeganeh, Hojatollah and Wang, Zhou, Objective quality assessment of tone-mapped images, IEEE Transactions on Image Processing, 657, 2013
- Wang, Shiqi and Rehman, Abdul and Wang, Zhou and Ma, Siwei and Gao, Wen, Perceptual video coding based on SSIM-inspired divisive normalization, IEEE Transactions on Image Processing, 1418, 2013
- Wang, Zhou and Bovik, Alan C, Mean squared error: love it or leave it? A new look at signal fidelity measures, IEEE signal processing magazine, 98, 2009
- Wang, Zhou and Bovik, Alan C and Sheikh, Hamid R and Simoncelli, Eero P, Image quality assessment: from error visibility to structural similarity, IEEE transactions on image processing, 600, 2004
- Fang, Yuming and Zhu, Hanwei and Zeng, Yan and Ma, Kede and Wang, Zhou, Perceptual quality assessment of smartphone photography, IEEE Conference on Computer Vision and Pattern Recognition, , 2020
In The News
Graduate studies
- Currently considering applications from graduate students. A completed online application is required for admission; start the application process now.