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The Fourth Shanghai International Symposium on Nonlinear Sciences and Applications(Shanghai NSA'10) will be held in Xuzhou and Shanghai on June 29-July 4, 2010.
Shanghai NSA'10 is sponsored by the Shanghai Society for Nonlinear Sciences, co-sponsored by the Shanghai Center for Nonlinear Sciences, organized by the Research Center for Nonlinear Sciences of Fudan University, the Centre for Computational Systems Biology of Fudan University, the Shanghai Society of Biophysics, and the Centre for Chaos and Complex Networks of the City University of Hong Kong, and supported by the National Natural Science Foundation of China.
Nonlinear science is one of the focusing research fields and most active scientific frontier in this century, and Shanghai NSA'10 is devoted to this important area of scientific research. The theme of the symposium is intended to be broad enough so as to cover most of the directions in nonlinear science, with the aim of promoting wide interactions among researchers from different academic disciplines who are interested in nonlinear science and related technologies. The symposium will provide both experts and new comers from different research backgrounds with an excellent opportunity to review the latest progress and development in the field of nonlinear science, and to exchange their experience, progress, and ideas. The symposium will consist of both oral and poster presentations in six days (four days in Xuzhou and two days in Shanghai, including one-day tour of a traditional Chinese cultural site--the city of Qufu and one-day visit of the World Expo 2010, Shanghai, China).
A few renowned leading scientists in the field of nonlinear science will be giving keynote speeches in the symposium.
Mathematical and physical theories, physical and chemical experiments, engineering design, biological studies, and their various applications are included in the main program of the symposium. Topics include but are not limited to the following:
| 1. Bifurcation & Chaos |
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7. Nonlinear Brain Dynamics |
1.1 Synchronization and control of chaos
1.2 Chaotic neural network models
1.3 Bifurcation analysis and computation
1.4 Chaos theory in physical systems
1.5 KAM curves and chaotic scattering
1.6 Random dynamical systems and stochastic bifurcation |
7.1 Neurodynamics
7.2 Nonlinear analysis of EEG and MEG
7.3 Chaotic dynamics of nerve cells |
8. Applications |
| 2. Fractals |
8.1 Economics and finance
8.2 Computational Biology
8.3 Bio-medical engineering
8.4 Materials and mechanical sciences
8.5 Information science and technology
8.6 Various inverse problems
8.7 Free and moving boundary problems
8.8 Signal and image processing
8.9 Physical experiments and electronic
engineering
8.10 Ecology and Evolution |
| 3. Solitons |
4. Finite- & Infinite-Dimensional Nonlinear
Dynamic Systems
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| 5. Nonlinear Time Series Analysis |
| 6. Complexity & Complex Systems |
| 6.1 Complex dynamics in neural networks
6.2 Complex dynamics in traffic and granular flows
6.3 Complex dynamics in physical and chemical systems
6.4 Oscillations and complex dynamics in biological systems
6.5 Complex dynamical networks
6.6 Cellular automata and CNN |
9. Other Related Nonlinear Sciences & Technologies |
| 10. Other Related Nonlinear Sciences & Technologies |
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