These events are organized by various sub-sets of the IEEE Toronto Section.
The contact person listed below is the volunteer who has arranged this event.
Please use the e-mail link provided if you have any questions, suggestions,
|| Cognitive Dynamic Systems
an IEEE Toronto Section Distinguished Lecture
Department of Electrical and Computer Engineering
|Day and Time
Thursday, November 15, 2007, 3:00 p.m. – 4:00 p.m.
||Room MC 254
Mechanical Engineering Building
University of Toronto - St. George Campus
5 King's College Road map - code MC
University of Toronto Multimedia Lab (Dept. of ECE), Signal Processing Chapter, Signals & Computational Intelligence Joint Chapter, and Communications Chapter
Karl Martin, E-mail:
The study of Cognitive Dynamic Systems is motivated by two practical
1. The human brain, as a powerful information-processing machine.
2. The emergence of Cognitive Radio and Cognitive Radar networks, which, in their individual ways, are influencing the development of a new generation of dynamic wireless systems.
In this lecture, I will focus on the "Foundations of Cognitive Dynamic Systems", in the course of which I will describe what I am currently working on in my research laboratory at McMaster.
Simon Haykin received his B.Sc (First Class Honours), Ph.D. and D.Sc, all in Electrical Engineering at the University of Birmingham in England.
Presently he is a University Professor in the Department of Electrical and Computer Engineering at McMaster University, Canada. He is a Fellow of the IEEE and a Fellow of the Royal Society of Canada.
He is the recipient of an Honourary Doctorate of Technical Sciences from ETH, Zurich, Switzerland, and the first recipient of the Henry Booker Gold Medal from URSI, as well as many other prizes and awards.
He is the author/coauthor of many books, including the classic books:
Adaptive Filter Theory (Prentice Hall), Neural Networks (Prentice Hall), and Communication Systems (Wiley)
His current research interests are focused on Cognitive Dynamic Systems with particular emphasis on the following:
- The design of a new generation of adaptive hearing system for the hearing impaired (encompassing a cocktail part processor and neurocompensator), and the modeling of human communication in a noisy background,
- Nonlinear filtering for state estimation.
- Cognitive radar networks involving the use of inexpensive radar sensors.
- Robust algorithms for transmit power control and spectrum management in cognitive radio.