EidoSearch CEO and Co-Founder Steven Zhang to Speak at QWAFAFEW Event

Dr. Steven Zhang, CEO and Co-Founder of EidoSearch, will speak on the topic, “What can the Past tell us about the Future? — Data Incidence Based (DIB) Modeling for Probabilistic Predictive Analytics in Big Data and Financial Models” at the QWAFAFEW event on October 27th.

During the discussion, Dr. Zhang will review the concept of machine learning, including deep learning and traditional modeling for big data predictive analytics. He will also introduce a new big data modeling paradigm, namely, data incidence based (DIB) modeling.

Unlike traditional methods, the DIB model not only predicts the mean but also the probability distribution. Finally, Dr. Zhang will introduce its applications in financial data modeling and predictive analytics. Based on the DIB framework, he will analyze the statistical distributions of US equity returns from the CRSP database and answer the fundamental question: can we predict future return distributions using past data? He will conclude by giving examples developed by EidoSearch in constructing portfolios with excess returns using our patented methodology.

Bio: Dr. Xiao-ping (Steven) Zhang, Ph.D., MBA, P. Eng, SMIEEE, CEO & Co-Founder, EidoSearch

Dr. Xiao-Ping (Steven) Zhang is an internationally renowned expert in data and information processing technologies. He is CEO and Co-Founder of EidoSearch. He is also a Professor of Electrical and Computer Engineering and Professor of Finance, Ryerson University. He is the Founding Director of Communication and Signal Processing Applications Laboratory (CASPAL), and has served as Program Director of Graduate Studies, Ryerson University. Steven is an Associate Editor for IEEE Transactions on Signal Processing, IEEE Transactions on Multimedia, IEEE Signal Processing Letters andJournal of Multimedia.