[AES/COM] Machine Learning and Deep Learning in Wireless and Cognitive Radio Networks
Dr. Yao 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.
Date and Time
Location
Hosts
Registration
- Date: 24 Apr 2018
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
-
Add Event to Calendar
- University of Rochester
- 120 Trustee Rd, Rochester, NY 14620
- Rochester, New York
- United States 14627
- Building: Computer Science Building
- Room Number: 633
- Click here for Map
- Contact Event Host
-
Any questions, please contact Cristiano Tapparello (IEEE Rochester COMSOC Chapter Chair), email: cristiano.tapparello@rochester.edu
Speakers
Yu-Dong Yao of Department of Electrical and Computer Engineering, Stevens Institute of Technology
Biography:
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).
Email: