Signal Identification and Classification in Wireless Communications: From Machine Learning to Deep Learning and Large Language Models

#wireless-communications #deep-learning #signal-processing #AI
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The Montreal Chapter of the IEEE Signal Processing Society, in collaboration with STARaCom and ReSMiQ, cordially invites you to attend the following talk to be given (in presence) at McGill University by Prof. Yu-Dong Yao, from the Department of Electrical and Computer Engineering at the Stevens Institute of Technology (Hoboken, New Jersey, USA).


  Date and Time

  Location

  Hosts

  Registration


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  • 3480 University
  • Montreal, Quebec
  • Canada H3A 0E9
  • Building: McConnell Engineering
  • Room Number: 603
  • Click here for Map
  • Contact Event Host

  • Prof. Benoit Champagne, ECE Department, McGill University, Montreal
    Co-sponsored by STARaCom and ReSMiQ

  • Starts 03 October 2026 04:00 AM UTC
  • Ends 28 October 2026 08:30 AM UTC
  • No Admission Charge

  Speakers

Prof. Yu-Dong Yao of Stevens Institute of Technology

Topic:

Signal Identification and Classification in Wireless Communications: From Machine Learning to Deep Learning and LLMs

Abstract: In this talk, we present our research on identification and classification tasks in wireless communications, covering fading channel parameters, signal distortions, medium access control (MAC) protocols, radio signal types, and cellular systems. We discuss how machine learning, deep learning, and large language models can be applied to these tasks. We also share broader perspectives on using AI methods in engineering research.

Biography:

Since 1989, Prof. Yu-Dong Yao's industry and academia experiences include Carleton University (Ottawa), Spar Aerospace (Montreal), Qualcomm (San Diego), and Stevens Institute of Technology (Hoboken). From 2007 to 2018, he served as Stevens' department chair of electrical and computer engineering. Prof. Yao's research interests include information technology, network systems, wireless communications, AI, and big data analysis. He is currently an editor-in-chief of AI Engineering. Prof. Yao is an elected fellow of IEEE (2011), National Academy of Inventors (2015), and Canadian Academy of Engineering (2017).

Address:Department of Electrical and Computer Engineering , Stevens Institute of Technology , Hoboken, New Jersey, United States