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Machine Learning and Deep Learning in Wireless and Cognitive Radio Networks

Prof. Yu-Dong Yao, Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey

Computer Studies Building Room 633

Abstract: In this talk, we will present AI research results of Machine Learning and Deep Learning as applied to wireless and cognitive radio networks. Specific topics include modulation classification, MAC protocol classification, and RF fingerprinting for radio terminal identification. Jamming and communications reliability issues will also be addressed.

Bio: Yu-Dong Yao has been with Stevens Institute of Technology since 2000, where he is currently a Professor and Department Chair of Electrical and Computer Engineering. From 1989 to 2000, he was with Carleton University, Ottawa, Spar Aerospace Ltd., Montreal, and Qualcomm Inc., San Diego. He holds 13 U.S. patents. His research interests include wireless communications, cognitive radio, and machine learning and deep learning techniques. He served as an Associate Editor for the IEEE COMMUNICATIONS LETTERS (2000 to 2008) and the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2001 to 2006) and as an Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2001 to 2005). For his contributions to wireless communications systems, he was elected a Fellow of IEEE (2011), National Academy of Inventors (2015), and Canadian Academy of Engineering (2017).

Pizza and soda provided