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[[Category:People]][[Category:Book Pages]]
= Simon Haykin =
[[Category:Unfinished]]
 
=== Biography ===
 
Simon S. Haykin, 1931 to 2025, Canadian electrical engineer. He received his B.Sc. with first class honours, Ph.D., and D.Sc., all in electrical engineering, from the University of Birmingham, England.<ref name="waterloo">[https://uwaterloo.ca/electrical-computer-engineering/events/distinguished-lecture-cognitive-risk-control-physical Distinguished Lecture: Cognitive Risk Control for Physical Systems], University of Waterloo Electrical and Computer Engineering.</ref> After graduating he worked at GEC Telecommunications in Coventry, then returned to academic work at Lanchester College of Technology and the University of Warwick.<ref name="waterloo" />
 
He joined McMaster University in Hamilton, Ontario, as a full professor in the Department of Electrical and Computer Engineering in 1966, and McMaster named him Distinguished University Professor in 1992.<ref name="waterloo" /> He founded the Communications Research Laboratory, the first of its kind in Canada, which became known for work in signal processing, communications, and radar.<ref name="waterloo" /> He later directed the Cognitive Systems Laboratory.<ref name="mcmaster">[https://www.eng.mcmaster.ca/ece/faculty/dr-simon-haykin/ Dr. Simon Haykin], McMaster Faculty of Engineering.</ref>
 
He was a Fellow of the Royal Society of Canada and a Fellow of the IEEE, and received the Henry Booker Gold Medal from URSI in 2002 and an honorary Doctor of Technical Sciences from ETH Zurich in 1999.<ref name="csl">[http://soma.mcmaster.ca/haykin.php Dr. Simon Haykin], Cognitive Systems Laboratory, McMaster University.</ref> He is among the most cited engineering researchers in the world.<ref name="waterloo" /> He taught into his eighties and continued research until 2020, and died on April 13, 2025, at the age of 94.<ref name="obit">[https://www.eng.mcmaster.ca/ece/news/professor-emeritus-simon-haykin-remembered-as-a-giant-of-signal-processing-and-remarkable-mentor/ Professor Emeritus Simon Haykin remembered as a giant of signal processing and remarkable mentor], McMaster Faculty of Engineering.</ref>
 
=== Work ===
 
Haykin's career moved through three phases. The first covered communication systems, radar, and adaptive filtering. The second addressed neural networks and learning machines. The third, occupying his final two decades, was the formulation of cognitive dynamic systems.<ref name="ieee">[https://vtsociety.org/contact/simon-s-haykin Simon S. Haykin], IEEE Vehicular Technology Society.</ref>
 
Cognitive dynamic systems is an engineering program built on principles borrowed from the brain. Its organizing structure is the perception-action cycle, supplemented by memory, attention, and intelligence, and its distinguishing feature is predictive adaptation: the system anticipates the state of its environment rather than only reacting to it.<ref name="waterloo" /> The aim was systems that adapt to their environments in the way a brain does.<ref name="obit" />
 
The applications he pursued were cognitive radio and cognitive radar. His 2005 paper "Cognitive Radio: Brain-Empowered Wireless Communications," in the ''IEEE Journal on Selected Areas in Communications'', was the first journal treatment of the subject.<ref name="csl2">[http://soma.ece.mcmaster.ca/ Historical Notes on Cognitive Dynamic Systems], Cognitive Systems Laboratory, McMaster University.</ref> Later work extended the framework to cognitive control and to cognitive risk control, addressing how a system should behave when its environment is disturbed by unexpected adverse events.<ref name="waterloo" />
 
=== Relevance ===
 
Haykin's work supplies the engineering side of a problem cyborg anthropology usually approaches from the humanities. Where Wiener framed feedback as the mechanism that makes organism and machine describable in the same terms, Haykin built systems that implement that description, taking attention, memory, and prediction from cognitive neuroscience and treating them as design requirements for radar and radio.
 
The direction of borrowing is worth noting. Cognitive dynamic systems takes concepts from the study of brains and installs them in machines, and the resulting vocabulary then travels back into how the machines are talked about. Haykin worked directly with the neuroscientist Joaquín Fuster on this exchange, publishing "On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other" in the ''Proceedings of the IEEE'' in 2014.<ref name="csl" />
 
=== Selected Books ===
 
He authored or co-authored more than 50 books.<ref name="ieee">[https://vtsociety.org/contact/simon-s-haykin Simon S. Haykin], IEEE Vehicular Technology Society.</ref> Three are standard graduate references, each running to multiple editions and translations.<ref name="obit" />
 
* ''Communication Systems''
* ''Adaptive Filter Theory''
* ''Neural Networks: A Comprehensive Foundation''. First published 1994, and his most cited work.<ref name="waterloo" />
* ''Neural Networks and Learning Machines''. 3rd edition, Prentice Hall, 2009, 906 pages. The retitling from the earlier ''Neural Networks'' reflects his argument that neural networks and machine learning are better studied together than separately, since techniques from each can be combined to perform tasks beyond the reach of either alone. Written for graduate courses in computer engineering, electrical engineering, and computer science.
* ''Cognitive Dynamic Systems: Perception-Action Cycle, Radar and Radio''. Cambridge University Press, 2012. The first book on the field.<ref name="csl" />
 
=== Related Reading ===
 
* [[The Human Use Of Human Beings: Cybernetics And Society]]
* [[Feedback and Cybernetics: Reimaging the Body in the Age of the Cyborg]]
* [[The Allure of Machinic Life: Cybernetics, Artificial Life, and the New AI]]
* [[Mindware: An Introduction to the Philosophy of Cognitive Science]]
* [[Android Epistemology]]
* [[Bots: The Origin of a New Species]]
* [[Interaction in 4-Second Bursts: The Fragmented Nature of Attentional Resources in Mobile HCI]]
 
=== External Links ===
 
* [https://www.eng.mcmaster.ca/ece/faculty/dr-simon-haykin/ Faculty page], McMaster University
* [http://soma.mcmaster.ca/haykin.php Cognitive Systems Laboratory]
 
== References ==
 
<references />
 
[[Category:People]]

Latest revision as of 20:04, 24 August 2026

Simon Haykin

Biography

Simon S. Haykin, 1931 to 2025, Canadian electrical engineer. He received his B.Sc. with first class honours, Ph.D., and D.Sc., all in electrical engineering, from the University of Birmingham, England.[1] After graduating he worked at GEC Telecommunications in Coventry, then returned to academic work at Lanchester College of Technology and the University of Warwick.[1]

He joined McMaster University in Hamilton, Ontario, as a full professor in the Department of Electrical and Computer Engineering in 1966, and McMaster named him Distinguished University Professor in 1992.[1] He founded the Communications Research Laboratory, the first of its kind in Canada, which became known for work in signal processing, communications, and radar.[1] He later directed the Cognitive Systems Laboratory.[2]

He was a Fellow of the Royal Society of Canada and a Fellow of the IEEE, and received the Henry Booker Gold Medal from URSI in 2002 and an honorary Doctor of Technical Sciences from ETH Zurich in 1999.[3] He is among the most cited engineering researchers in the world.[1] He taught into his eighties and continued research until 2020, and died on April 13, 2025, at the age of 94.[4]

Work

Haykin's career moved through three phases. The first covered communication systems, radar, and adaptive filtering. The second addressed neural networks and learning machines. The third, occupying his final two decades, was the formulation of cognitive dynamic systems.[5]

Cognitive dynamic systems is an engineering program built on principles borrowed from the brain. Its organizing structure is the perception-action cycle, supplemented by memory, attention, and intelligence, and its distinguishing feature is predictive adaptation: the system anticipates the state of its environment rather than only reacting to it.[1] The aim was systems that adapt to their environments in the way a brain does.[4]

The applications he pursued were cognitive radio and cognitive radar. His 2005 paper "Cognitive Radio: Brain-Empowered Wireless Communications," in the IEEE Journal on Selected Areas in Communications, was the first journal treatment of the subject.[6] Later work extended the framework to cognitive control and to cognitive risk control, addressing how a system should behave when its environment is disturbed by unexpected adverse events.[1]

Relevance

Haykin's work supplies the engineering side of a problem cyborg anthropology usually approaches from the humanities. Where Wiener framed feedback as the mechanism that makes organism and machine describable in the same terms, Haykin built systems that implement that description, taking attention, memory, and prediction from cognitive neuroscience and treating them as design requirements for radar and radio.

The direction of borrowing is worth noting. Cognitive dynamic systems takes concepts from the study of brains and installs them in machines, and the resulting vocabulary then travels back into how the machines are talked about. Haykin worked directly with the neuroscientist Joaquín Fuster on this exchange, publishing "On Cognitive Dynamic Systems: Cognitive Neuroscience and Engineering Learning From Each Other" in the Proceedings of the IEEE in 2014.[3]

Selected Books

He authored or co-authored more than 50 books.[5] Three are standard graduate references, each running to multiple editions and translations.[4]

  • Communication Systems
  • Adaptive Filter Theory
  • Neural Networks: A Comprehensive Foundation. First published 1994, and his most cited work.[1]
  • Neural Networks and Learning Machines. 3rd edition, Prentice Hall, 2009, 906 pages. The retitling from the earlier Neural Networks reflects his argument that neural networks and machine learning are better studied together than separately, since techniques from each can be combined to perform tasks beyond the reach of either alone. Written for graduate courses in computer engineering, electrical engineering, and computer science.
  • Cognitive Dynamic Systems: Perception-Action Cycle, Radar and Radio. Cambridge University Press, 2012. The first book on the field.[3]

References

  1. ↑ 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 Distinguished Lecture: Cognitive Risk Control for Physical Systems, University of Waterloo Electrical and Computer Engineering.
  2. ↑ Dr. Simon Haykin, McMaster Faculty of Engineering.
  3. ↑ 3.0 3.1 3.2 Dr. Simon Haykin, Cognitive Systems Laboratory, McMaster University.
  4. ↑ 4.0 4.1 4.2 Professor Emeritus Simon Haykin remembered as a giant of signal processing and remarkable mentor, McMaster Faculty of Engineering.
  5. ↑ 5.0 5.1 Simon S. Haykin, IEEE Vehicular Technology Society.
  6. ↑ Historical Notes on Cognitive Dynamic Systems, Cognitive Systems Laboratory, McMaster University.
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