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In many applications we seek to optimize the performance of a system
that we are unable to model precisely. When the performance of that
system is sensitive to the uncertainties in our model, a standard
approach is to incorporate a description of those uncertainties into the
model. Typically, that results in an optimization problem that is
significantly more difficult to solve than the nominal problem, and
often a problem that is fundamentally hard. The art of robust
optimization involves the selection and approximation of models for the
uncertainty in ways that significantly reduce the sensitivity and yet
are amenable to efficient computation. In this talk, we will explore the
application of this art to the problem of achieving specified levels of
quality-of-service in wireless communication from a base station with
multiple antennas to multiple receivers each with a single antenna, and
we will draw insights that may be of value in other applications.
Tim Davidson received the B.Eng. (Hons. I) degree in electronic
engineering from the University of Western Australia (UWA), Perth, in
1991 and the D.Phil. degree in engineering science from the University
of Oxford, U.K., in 1995. He is a Professor in the Department of
Electrical and Computer Engineering, McMaster University, Hamilton, ON,
Canada, where he is currently serving as Chair of the Department.
Previously, he has served as Acting Director of the School of
Computational Engineering and Science for two years, and as Associate
Director for three years. His research interests lie in the general
areas of communications, signal processing, and control.
Dr. Davidson received the 1991 J. A. Wood Memorial Prize from UWA, the
1991 Rhodes Scholarship for Western Australia, and a 2011 Best Paper
Award from the IEEE Signal Processing Society. He has served as an
Associate Editor of the IEEE Transactions on Signal Processing, the IEEE
Transactions on Wireless Communications, and the IEEE Transactions on
Circuits and Systems II. He has also served as a Guest Co-Editor of
issues of the IEEE Journal on Selected Areas in Communications, the IEEE
Journal of Selected Topics in Signal Processing, and the EURASIP Journal
of Advances in Signal Processing. He was a General Co-Chair for the 2014
IEEE International Workshop on Signal Processing Advances in Wireless
Communications, a Technical Program Co-Chair for the 2014 IEEE Global
Conference on Signal and Information Processing, and the Technical Chair
for the 2015 Asilomar Conference on Signals, Systems and Computers. In
2021, he will serve as a Technical Co-Chair for the 2021 IEEE
International Conference on Acoustics, Speech and Signal Processing. Dr.
Davidson has also served as the Chair of the IEEE Signal Processing
Society's Technical Committee on Signal Processing for Communications
and Networking. He is a Registered Professional Engineer in the Province
of Ontario.