ComSig Lecture: Full Radio Spectrum Awareness using Machine Learning & Deep Learning
Lecturer: Professor Yu-Dong Yao
Remote Teleconferencing Signal Processsing Lecture Series
(Held in Nashua Public Library via Skype - May 2nd 2019 6:00 pm - 8:30 pm)
Fee: FREE - Light Refreshment Served - Social Networking before & after Lecture
Lecture Topic Description:
Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. This presentation discusses research results in the use of ML and DL in radio spectrum activity identification, modulation classification, medium access protocol classification, and wireless service identification.
Date and Time
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- Date: 02 May 2019
- Time: 06:00 PM to 08:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Starts 26 March 2019 08:43 PM
- Ends 02 May 2019 06:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Professor Yu-Dong Yao
Full Radio Spectrum Awareness Using Machine Learning and Deep Learning
Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. This presentation discusses research results in the use of ML and DL in radio spectrum activity identification, modulation classification, medium access protocol classification, and wireless service identification.
Biography:
Dr. Yu-Dong Yao has been with Stevens Institute of Technology, Hoboken, New Jersey, since 2000 and served as a Department Chair of Electrical and Computer Engineering from 2007 to 2018. He is also a director of Stevens’ Wireless Information Systems Engineering Laboratory (WISELAB). Previously, from 1989 to 2000, Dr. Yao worked for Carleton University, Ottawa, Spar Aerospace Ltd., Montreal, and Qualcomm Inc., San Diego. His research interests include wireless communications, cognitive radio, and machine learning and deep learning. He holds one Chinese patent and thirteen U.S. patents. Dr. Yao was an Associate Editor of IEEE Communications Letters (2000-2008) and IEEE Transactions on Vehicular Technology (2001-2006), and an Editor for IEEE Transactions on Wireless Communications (2001-2005). 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). In 2018, he received an honorary degree, Master of Engineering (Honoris Causa), from Stevens Institute of Technology.