[Faculty] AI seminar, Friday, 10:30-11:30am, Dec 6

[Xiaobai Liu]

Artificial Intelligence Seminars

*Learning to Estimate and Detect *

*in Communication Systems*



*Speaker    *Duy H. N. Nguyen, Ph.D.

                  Assistant Professor

                  Department of Electrical and Computer Engineering

                  San Diego State University



*Where       *GMCS-405



*When        *10:30am-11:30am, December 6th, 2019



*Speaker*



Duy H. N. Nguyen (Senior Member, IEEE) is an Assistant Professor at the
Department of Electrical and Computer Engineering, San Diego State
University. He received the B.Eng. from Swinburne University of Technology,
Hawthorn, VIC, Australia in 2005, the M.Sc. from University of
Saskatchewan, Saskatoon, SK, Canada in 2009 and the Ph.D. from McGill
University, Montreal, QC, Canada in 2013. He was a postdoctoral research
fellow at INRS-EMT (University of Quebec), The University of Houston and
the University of Texas at Austin. His current research interests include
resource allocation in wireless networks, signal processing for
communications, optimization, game theory and machine learning.



*Abstract*



Estimation and detection are among the most primitive statistical signal
processing tasks in communication systems. The advancements of
communication theory in the past few decades have effectively resolved
these tasks with rigorous analysis and predictable performance guarantee,
especially in Gaussian channels. This is perhaps the reason why the field
of communication theory was reluctant in embracing the booming of machine
learning. Nevertheless, there has been a lot of interests and publications
in the applications of machine learning for communication systems in the
past few years. In this talk, I will revisit some of the basics in
estimation and detection for communication systems and examine whether
machine learning techniques would be the right tools to perform these
tasks, especially in non-Gaussian channels. I will then present some of our
recent and ongoing research works in this topic.


Host:   Dr. Xiaobai Liu

Student Organizer:    Patrick Perrine (Undergraduate)

Web:    sdsuai.home.blog

Best,
Xiaobai Liu, PhD
Associate Professor of Computer Science
Director of Machine Vision and Perception Lab
San Diego State University
CA, 92182
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