Dr. Xiao-Ping (Steven) Zhang
Professor, PhD, MBA, P.Eng., FIEEE, FEIC, FCAE
Department of Electrical, Computer &
Biomedical Engineering
Finance Department at the Ted Rogers School of Management
Toronto Metropolitan
University (Formerly Ryerson University)
Contact
Information (Currently on leave from TMU)
|
350
Victoria Street
Toronto, Ontario
CANADA, M5B 2K3
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Office
:
Centre for
Computing and Engineering (245 Church St), ENG 451
Voice : (416)
979-5000 ext. 556686
Fax : (416) 979-5280
Email : xzhang at ee dot ryerson dot ca
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Postdoc and
Other Positions Available (NEW Update!)
My area
of interest is signal/information processing and machine learning/AI based
theoretical and application research. Currently, my specific interests include
the following aspects:
O Multimedia
Signal/Content Processing, AI and Big Data Analytics
- My current multimedia research focuses on
traditional image/video problems, such as object segmentation and
extraction and noise suppression, as well as on multimedia content
processing including statistical model based/content-based video and
image analysis, digital watermarking, data hiding, content-based
information retrieval (CBIR), and e-commerce applications. Multimedia
communication is an emerging application in which signal processing and
communications are pertinent.
With the
rapid development of broadband, Internet, and the exponential increase
of multimedia content online, multimedia content analysis and processing
are critical to further improvement. We would like to develop new techniques
and theories not only to address traditional multimedia communication
issues but more to address research problems in video/image/audio
content analysis applications using signal processing, statistical
modeling and machine learning/AI methods.
O Signal/Information
Processing for Finance, Economics and Marketing
- I have extended my research to the areas of
finance, economics and marketing. The Chicago school of economics
maintains that a free market can optimally allocate resources and
correctly price assets most of the time. The end of the cold war and the
rapid development of emerging economies like China are prime
examples of market power. A free market operates as a powerful
distributed information processor – people and markets in aggregate can accurately
and promptly process information. While economists often take efficient
information processing for granted, my goal as a researcher is to
determine the rationale for these phenomena and develop information
processing tools to analyze the massive amount of digital information in
the financial market. Intrigued by the information processing power of
the free market and impressed by the world-class thinkers at the University of Chicago Booth
School of Business, I took my sabbatical there in 2006-2008.
O Signal
Processing for Sensor Networks/IoT
- Modern digital communication systems and sensor
networks demand advanced detection/estimation, tracking and data fusion
techniques. My research is to use the signal processing and machine
learning algorithms to solve specific problems in sensor networks,
Internet of things (IoT), radar systems and communication systems. We
are developing novel data fusion and target tracking methods based on
statistical filtering in radar and sensor networks.
O Wavelets,
Filterbanks and Time-Frequency/Time-Scale Analysis
- For over two decades, the use of wavelet
transforms (WT) has been ubiquitous in signal processing due to the
power of its flexible time-frequency resolution and the existence of
fast algorithms. It has become a better alternative to traditional
Fourier analysis especially for non-stationary, time-varying signals. In
many applications, the signal in the wavelet domain has exhibited good
statistical properties. My objective is to exploit these properties and
design innovative algorithms as efficient and effective features to
solve specific application problems.
- Conference
Organization (Selected)
- General
Co-Chair, the 46th IEEE
International Conference on Acoustics, Speech and Signal Processing
(ICASSP 2021), Toronto, Canada, June 6-11, 2021
- General
Co-Chair, 2019 GlobalSIP Symposium on Signal, Information Processing and
AI for Finance and Business, November 11-14, 2019, Ottawa, Canada
- General
Co-Chair, 2017 GlobalSIP Symposium on Signal and Information Processing
for Finance and Business, November 14-16, 2017, Montreal, Canada
- General Chair, IEEE
International Workshop on Multimedia Signal Processing - MMSP2015
- Webinars (Selected)
- Tutorials (Selected)
o
Tutorial in ISCAS2019:
Passive Localization and Tracking for Internet of Things, Half-day, May 26,
2019. [Video
Part I] [Video
Part II]
o Tutorial
in IJCNN2017: Graphical Probabilistic Modeling and Machine Learning for
Multimedia Content Analysis, May 14, 2017
o Tutorial
in ICASSP2014: Signal Processing for Finance, Economics and Marketing Modeling
and Information Processing
- Editorship (Selected Current and Past)