Professor Xiao-Ping Zhang, PhD, MBA, P.Eng., FIEEE, FEIC, FCAE of Ryerson University, Canada

Abstract: With the emerging deployment of 5G wireless systems and the rapid growing number of smart sensors and deploying sensors on or around physical objects, the Internet of Things (IoT) seamlessly integrates a world of networked smart objects, makes their information be shared on a global scale, and provides an ability of intelligent computing and information processing, such as reporting status, position, and surrounding condition of each sensor node. Localization and tracking is a key problem, which has been studied in various fields, including sonar, radar, seismic, mobile communications, wireless sensor networks. Typical metrics are measured at the local sensors including sample covariance matrices (SCM), time of arrival (TOA), gain ratios of arrival (GROA), angles of arrival (AOA) and frequency differences of arrival (FDOA). Estimating the source position as accurate as possible by utilizing the above-mentioned metrics is full of challenges. In this talk, we introduce the fundamentals, elements, basic localization principles and measurement models, and typical source localization and target tracking methods. We discuss state-of-the-art advances and applications with examples in passive source localization, including subband information fusion, localization penalized maximum likelihood, and performance bounds using AOA-GROA-TOA, and other state-of-the-arts in localization and tracking systems for IoT applications.

Biography:

Biography: Xiao-Ping (Steven) Zhang received the B.S. and Ph.D. degrees from Tsinghua University, in 1992 and 1996, respectively, all in electronic engineering. He holds an MBA in Finance and Economics with Honors from the University of Chicago Booth School of Business. He is now Professor and Director of Communication and Signal Processing Applications Laboratory (CASPAL), with the Department of Electrical and Computer Engineering, Ryerson University. 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 Ryerson University. He has been a Visiting Scientist at Research Laboratory of Electronics (RLE), Massachusetts Institute of Technology. He is a frequent consultant for biotech companies and investment firms. His research interests include statistical signal processing and big data analytics, multimedia analysis, sensor networks and IoT, machine learning/AI, and applications in finance, economics, and marketing.

Dr. Zhang is Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Fellow of the IEEE, a registered Professional Engineer in Ontario, Canada, and a member of Beta Gamma Sigma Honor Society. He is the general Co-Chair for the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021. 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 was an elected Member of the ICME steering committee. He is the General Chair for the IEEE International Workshop on Multimedia Signal Processing, 2015. He is the Publicity Chair for the International Conference on Multimedia and Expo 2006, and the Program Chair for International Conference on Intelligent Computing in 2005 and 2010. He served as a Guest Editor for Multimedia Tools and Applications and the International Journal of Semantic Computing. He was a tutorial speaker at the 2011 ACM International Conference on Multimedia, the 2013 IEEE International Symposium on Circuits and Systems, the 2013 IEEE International Conference on Image Processing, the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, the 2017 International Joint Conference on Neural Networks and the 2019 IEEE International Symposium on Circuits and Systems. He is a Senior Area Editor for the IEEE TRANSACTIONS ON SIGNAL PROCESSING and the IEEE TRANSACTIONS ON IMAGE PROCESSING. He was an Associate Editor for the IEEE TRANSACTIONS ON IMAGE PROCESSING, the IEEE TRANSACTIONS ON MULTIMEDIA, the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, the IEEE TRANSACTIONS ON SIGNAL PROCESSING, and the IEEE SIGNAL PROCESSING LETTERS. He is elected Vice-Chair (Chair-elect) for Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) of IEEE Signal Processing Society. 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, and an IEEE Circuits and Systems Society Distinguished Lecturer for the term 2021 to 2022.

Email: