[talks] Friday: EE Seminar-11:30am, E-Quad B205- Andrea Goldsmith, Stanford University

[Emily Lawrence]

Department of Electrical Engineering Seminar 

Speaker:       Dr. Andrea Goldsmith

                                    Stanford University 

Title:              Can machine learning trump theory in communication
system design?

Date:              Friday, August 17, 2018

Time:             11:30AM          

Room:            E-Quad, B205

Host:              Prof. H. Vincent Poor & Prof. Yuxin Chen

 

Abstract: Design and analysis of communication systems have traditionally
relied on mathematical and statistical channel models that describe how a
signal is corrupted during transmission. In particular, communication
techniques such as modulation, coding and detection that mitigate
performance degradation due to channel impairments are based on such channel
models and, in some cases, instantaneous channel state information about the
model. However, there are propagation environments where this approach does
not work well because the underlying physical channel is too complicated,
poorly understood, or rapidly time-varying. In these scenarios we propose a
completely new approach to communication system design based on machine
learning (ML). In this approach, the design of a particular component of the
communication system (e.g. the coding strategy or the detection algorithm)
utilizes tools from ML to learn and refine the design directly from training
data. The training data that is used in this ML approach can be generated
through models, simulations, or field measurements. We present results for
three communication design problems where the ML approach results in better
performance than current state-of-the-art techniques: signal detection
without accurate channel state information, signal detection without a
mathematical channel model, and joint source-channel coding of text. Broader
application of ML to communication system design in general and to
millimeter wave and molecular communication systems in particular is also
discussed.

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Bio: Andrea Goldsmith is the Stephen Harris professor in the School of
Engineering and a professor of Electrical Engineering at Stanford
University. She also serves on Stanford's Presidential Advisory Board,
University Budget Group, and Faculty Senate. She previously served as Chair
of Stanford's Faculty Senate and as a member of Stanford's Commission on
Graduate Education, Commission on Undergraduate Education, Committee on
Research, Planning and Policy Board, and Task Force on Women and Leadership.
She co-founded and served as Chief Technical Officer of Plume WiFi (formerly
Accelera, Inc.) and of Quantenna (QTNA), Inc. She has also held industry
positions at Maxim Technologies, Memorylink Corporation, and AT&T Bell
Laboratories, and she currently chairs the Technical Advisory Boards of
Interdigital Corp., Quantenna Communications, Cohere Communications, and
Sequans. In the IEEE Dr. Goldsmith served on the Board of Governors for both
the Information Theory and Communications societies. She has also been a
Distinguished Lecturer for both societies, served as President of the IEEE
Information Theory Society in 2009, founded and chaired the student
committee of the IEEE Information Theory society, and chaired the Emerging
Technology Committee of the IEEE Communications Society. She currently
chairs the IEEE TAB committee on diversity and inclusion, and the Women in
Technology Leadership Roundtable working group on metrics.

Dr. Goldsmith is a member of the National Academy of Engineering and the
American Academy of Arts and Sciences, a Fellow of the IEEE and of Stanford,
and has received several awards for her work, including the IEEE ComSoc
Edwin H. Armstrong Achievement Award as well as Technical Achievement Awards
in Communications Theory and in Wireless Communications, the National
Academy of Engineering Gilbreth Lecture Award, the IEEE ComSoc and
Information Theory Society Joint Paper Award, the IEEE ComSoc Best Tutorial
Paper Award, the Alfred P. Sloan Fellowship, the WICE Technical Achievement
Award, and the Silicon Valley/San Jose Business Journal's Women of Influence
Award. She is author of the book ``Wireless Communications'' and co-author
of the books ``MIMO Wireless Communications'' and "Principles of Cognitive
Radio," all published by Cambridge University Press, as well as an inventor
on 28 patents. Her research interests are in information theory and
communication theory, and their application to wireless communications and
related fields. She received the B.S., M.S. and Ph.D. degrees in Electrical
Engineering from U.C. Berkeley.

 

 

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