Courses

Xiao-Ping Zhang

Professor

Xiao-Ping (Steven) Zhang received B.S. and Ph.D. degrees from Tsinghua University, in 1992 and 1996, respectively, both in Electronic Engineering. He holds an MBA in Finance, Economics and Entrepreneurship with Honors from the University of Chicago Booth School of Business, Chicago, IL.

Since Fall 2000, he has been with the Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, where he is now Professor, Director of Communication and Signal Processing Applications Laboratory (CASPAL) . He has served as Program Director of Graduate Studies. He is cross appointed to the Finance Department at the Ted Rogers School of Management at Toronto Metropolitan University. He was Visiting Scientist at Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology, in 2015 and 2017. His research interests include statistical signal processing and big data analytics, multimedia content analysis, sensor networks and IoT, machine learning/AI, and applications in bioinformatics, finance, and marketing. He is a frequent consultant for biotech companies, such as Applied Biosystems and Celera Genomics. He also consults for investment firms and hedge funds. He is cofounder and CEO for EidoSearch, an Ontario based company offering a content-based numerical search and analysis engine for financial data.

Dr. Zhang is a Fellow of the Canadian Academy of Engineering, a registered Professional Engineer in Ontario, Canada, and a member of Beta Gamma Sigma Honor Society. He is the general co-chair for 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2021). He is the general co-chair for 2017 GlobalSIP Symposium on Signal and Information Processing for Finance and Business, and the general co-chair for 2019 GlobalSIP Symposium on Signal, Information Processing and AI for Finance and Business.

He is an elected member of IEEE International Conference on Multimedia and Expo (ICME) steering committee. He is the general chair for MMSP2015. He is the publicity co-chair for ICME'06 and founding program co-chair for ICIC2005. He has served as guest editor for the Multimedia Tools and Applications Journal. He is a tutorial speaker in ACM Multimedia 2011 (ACMMM2011), 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013 IEEE International Conference on Image Processing (ICIP2013), ICASSP2014, 2017 International Joint Conference on Neural Networks (IJCNN 2017) and ISCAS2019. He is Senior Area Editor for IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing. He served as Associate Editor for IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Signal Processing Letters. He received 2020 Sarwan Sahota Ryerson Distinguished Scholar Award– the Ryerson University highest honor for scholarly, research and creative achievements. He is selected as an IEEE Signal Processing Society Distinguished Lecturer for the term from January 2020 to December 2021.

He is the Vice Chair (Chair-Elect) of Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) for the term 2020-2021, an elected member of Multimedia Signal Processing Technical Committee (MMSP TC), Industry DSP Technology Standing Committee (IDSP SC), Signal Processing Theory and Methods Technical Committee (SPTM TC) and Sensor Array and Multichannel Technical Committee (SAM TC) of IEEE Signal Processing Society. He is an elected member of Visual Signal Processing and Communications Technical Committee (VSPC TC), System and Applications Technical Committee (MSA TC), and Digital Signal Processing Technical Committee (DSP TC) of IEEE Circuits and System Society.

RESEARCH INTERESTS

His research interests include statistical signal processing and big data analytics, multimedia content analysis, sensor networks and IoT, machine learning/AI, and applications in bioinformatics, finance, and marketing.

SELECTED PAPERS

  • Zhang, X.-P., and Wang, F., "Signal Processing for Finance, Economics, and Marketing," IEEE Signal Processing Magazine, Feature Article, vol. 34, no. 3, pp. 14-35, May 2017.
  • Son, C.-H., and Zhang, X.-P., "Layer-based approach for image pair fusion," IEEE Trans. on Image Processing, vol. 25, no. 6, pp. 2866-2881, June 2016.
  • Zhou, J., and Zhang, X.-P.,"An ICA mixture hidden Markov model for video content analysis," IEEE Trans. on Circuit and Systems for Video Technology, Special Issue on Event Analysis in Videos, vol. 18, no. 11, pp. 1576-1586, November 2008.
  • Wang, F., and Zhang, X.-P.,"Reasons for market evolution and budgeting implications," Journal of Marketing, vol. 72, no. 5, pp. 15-30, September 2008.
  • Zhang, X.-P., "Thresholding neural network for adaptive noise reduction," IEEE Trans. on Neural Networks, vol. 12, no. 3, pp. 567-584, May 2001.