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Webinar Details: 21 March 2018 from 11:00am - 12:00pm (EDT)
Attendee Registration Link: Register for Webinar, by Dr. Xiao-Ping (Steven) Zhang
Topic: Fundamentals on Signal Processing for Finance and Economics
The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry. This webinar, "Fundamentals on Signal Processing for Finance and Economics," will discuss Financial Technology (FinTech) from a signal processing viewpoint. This webinar is being presented by Dr. Xiao-Ping (Steven) Zhang and will introduce the mainstream foundational concepts and framework in finance, economics, and marketing research, such as formulations of sources of investment returns, risks, and their relationships, from both the efficient market theory and the behavioral economics point of view. We elaborate the basic relationships between the traditional economic research paradigm and signal processing methodology, and help signal processing researchers identify relevant research directions. We aim to present a refreshing signal processing perspective on finance, economics, and marketing research. As an example, we explain why signal processing and artificial intelligence (AI) cannot change the basic structure of stock/securities market and bring everyone excess investment returns.
Please join Dr. Zhang on March 21, 2018 from 11 am to 12 pm (EDT) as he presents the rapid growth and increasing access to data in digital form, finance, economics, and marketing, which are poised to become one of the most important and tangible big data applications. The knowledge of foundational finance and economic theories will help signal processing and data researchers avoid reinventing the wheel and develop meaningful and useful research in these areas.
If you have any questions, please contact Bill Colacchio, Senior Manager Publications, Education Strategy and Services, IEEE Signal Processing Society at email@example.com.
Xiao-Ping (Steven) Zhang received B.S. and Ph.D. degrees from Tsinghua University, in 1992 and 1996, respectively, both in Electronic Engineering. He received the 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 and Computer Engineering, Ryerson 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 Ryerson 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 electronic systems, machine learning, and applications in bioinformatics, finance, and marketing. He is a frequent consultant for biotech companies and investment firms. He is cofounder and CEO for EidoSearch, an Ontario based company offering a content-based search and analysis engine for financial big data.
Dr. Zhang is a registered Professional Engineer in Ontario, Canada, and a member of Beta Gamma Sigma Honor Society. He is the general co-chair for ICASSP2021 and was the general co-chair for 2017 GlobalSIP Symposium on Signal and Information Processing for Finance and Business. He is an elected member of ICME steering committee. He is the general chair for MMSP'15. He is the publicity chair for ICME'06 and program chair for ICIC'05 and ICIC'10. He served as guest editor for Multimedia Tools and Applications, and the International Journal of Semantic Computing. He is a tutorial speaker in ACMMM2011, ISCAS2013, ICIP2013, ICASSP2014, IJCNN2017. He is a Senior Area Editor for IEEE Transactions on Signal Processing. He is/was an 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.
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