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HOME > NEWS > ARCHIVE
Leon Chua the First Recipient of the 2005 IEEE Gustav Robert Kirchoff Award

Professor Leon O. Chua has received the 2005 IEEE Gustav Robert Kirchhoff Award for "seminal contributions to the foundation of nonlinear circuit theory and for inventing Chua's Circuit and Cellular Networks, each spawning a new research area." Named for Gustav Robert Kirchhoff, a physicist who made breakthrough contributions to the theory of circuits using topology and to elasticity, it is awarded to those who have made outstanding contributions with long-term significance to the fundamentals of any electronic circuits and systems. While established in 2003, it was only awarded for the first time in 2005.

Widely recognized as the father of nonlinear circuit theory and cellular neural networks, Leon Chua is a professor of electrical engineering and computer science at the University of California, Berkeley. By inventing Chua's circuit and proving it to have strange attractors, he was responsible for introducing chaos theory and nonlinear dynamics to Electrical Engineering. Today, it is used by many researchers to design secure communications systems based on chaos.

The Cellular Neural Network (CNN) has also had a major impact. Invented together with T. Roska, and using CNN as the core, their CNN Universal Machine is the only architecture that has been successfully implemented in a practical, fully-programmable chip capable of solving ultra high-speed pattern recognition and image processing problems.

Professor Chua is also recipient of the prestigious IEEE Neural Networks Pioneer Award (2003). His association with World Scientific began in the early 90s and spans more than a decade. Today, Professor Chua is the Editor of the International Journal of Bifurcation and Chaos, and serves as the Series Editor of the World Scientific Series on Nonlinear Science, Series A, as well as the World Scientific Series on Nonlinear Science, Series B. He has also personally contributed to several of the volumes, notably, CNN: A Paradigm for Complexity.


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Updated on 10 July 2012