Morning Lecture:

On Complex Dynamical Networks

Abstract:
The current study of complex dynamical networks is pervading all kinds of sciences today, ranging from physical to biological, even to social sciences. Its impact on modern engineering and technology is prominent and will be far-reaching. Typical complex dynamical networks include the Internet, the World Wide Web, various wireless communication networks, metabolic networks, biological neural networks, social connection networks, scientific cooperation and citation networks, and so on. Research on fundamental properties and dynamical features of such complex networks has become overwhelming. This talk will provide a brief overview of some basic concepts about complex dynamical networks, such as the average distance, clustering coefficient, and degree distribution. The classic random graph theory and two new types of complex networks (the small-world networks and the scale-free networks) will be introduced. Three typical examples will be discussed in more details: the Internet, the WWW, and the scientific collaboration network. Finally, two important issues on control and synchronization of complex dynamical networks will be addressed.

Presenter(s):
Professor Chen received his MS degree in computer science from Zhongshan University, China in 1981, and the PhD degree in applied mathematics from Texas A&M University, USA in 1987, with Post-Doctorate research experience in nonlinear systems dynamics and controls. He has been an IEEE Fellow since 1996 and currently is a Chair Professor and the Director of Centre for Chaos Control and Synchronization at the City University of Hong Kong. He serves as Chief, Advisory and Associate Editors for 8 international journals, published 16 technical books, about 300 SCI journal papers, and about 200 conference abstracts, with three best journal paper awards received in the past. He is an Honorary Professor of the Central Queensland University of Australia, and Honorary Guest-Chair Professor of more than ten universities in China.

Registration is encouraged though visitors are welcome. For further information, please contact Dr Malin Premaratne (malin@ieee.org, 9905 5382).

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