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From Nonlinear Dynamics to Biology & Biomedicine

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Biology and BioMedicine is a field where the systems are complex by nature. There are two opposite ways to investigate the resulting dynamics. One approach consists that a complex system is nothing but the sum of its parts, and that an account of it can be reduced to accounts of individual constituents. The second approach corresponds to the idea that all the properties of a given system (physical, biological, chemical, etc.) cannot be determined or explained by its component parts alone. Instead, the system as a whole determines in an important way how the parts behave. In this latter case, it is important to start with a time series produced by the whole system. The next step is then to use one of the most important results from the nonlinear dynamical systems theory that can be summed up by the Takens theorem: it is possible to reconstruct from a single time series a phase portrait equivalent to the original phase space that cannot be measured. It is therefore relevant to possess powerful technique of analysis to deeply investigate the dynamics underlying biological and biomedical systems. This session is devoted to recent techniques developed in the context of nonlinear dynamical systems theory as well as some applications in biology and/or biomedicine. The aim is to develop a common language and a unified methodology between physicians, biologists and physicists.

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Complexity in Soft and Condensed matter

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Complexity can be observed in many aspects of Soft and Condensed matter physics. Examples include turbulent flows in liquid, glassy dynamics, granular matter, complex fluids, damage and fracture of disordered materials, earthquakes, domain growth in ferroelectric or magnetic materials, superconductivity, dislocations in crystals, surface and interface dynamics in deposition problems, among other realisations. Despite their diversity, these systems share similar features: the emergence of generic collective behaviours from the interaction between the elementary constituents that cannot be understood or predicted simply by some averaging over the behaviour of individual components.

Statistical physics represents the privileged tool of physicists to study these systems. However understanding this complex matter necessitates new theoretical developments since the systems under consideration are generally far from equilibrium and often involve various relaxation processes, sometimes dissipative and irreversible, ranging over several time and length scales.

This special session of the ICCSA is intended (i) to provide some examples of physical complex systems illustrating the diversity of this theme in Soft and condensed matter physics, (ii) to present the various recent theoretical progresses to describe them and (iii) to draw possible orientation for future research in this field. It will be the occasion to bring together physicists from various domains, both experimentalists and theoreticians working on complex systems as well as researchers from other fields interested by physical applications or concepts.

Invited speaker

Hugues Chaté (Groupe Théorie des Systèmes Complexes, DSM/IRAMIS/SPEC, CEA Saclay)

Deadlines and submissions

All theoretical, experimental and numerical contributions dealing with complex matter are welcomed in this session. They are expected in the form of a one-page abstract which must be prepared with the following template: abstract_template.doc and sent before 17 May either to Arnaud Prigent (arnaud.prigent@univ-lehavre.fr) or Daniel Bonamy (daniel.bonamy@cea.fr).

It is possible to submit an article which will be proposed for publication in a special issue of Journal of Nonlinear Systems and Applications.

Additional information on the form of this article can be found at:
http://www-lih.univ-lehavre.fr/~bertelle/iccsa2009/iccsa2009-submission.html

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Combinatorics, Physics and Complexity

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The (new) science of Complex Systems likes to consider the notion of "level of description". Many tools from Combinatorics, Computer Science and Mathematics are there needed, be it at the level where "things do happen" or at higher levels where statistical exactly solved models of a striking precision can be experimented and set. This special session is intended to be a contribution to the exposition of these tools/results. Includes (not exhaustive)

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Risk and Complexity

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The main goal of this special session is to join together different disciplins concerned by the analysis of risk in terms of methodologies and management. The proposed researches contribute to showing that risk and catastrophe are often the outcome of structural complexities related to the number of components and their interactions, of complexities of spatial scales and levels of organization, and of complexity of non-linear systems (A. Dauphiné, 2003). The various research results show that, in a more or less explicit way, these complexities do not exclude one another but may combine in the course of one and the same event. Through its applied character, these works also contribute to territorial risk management. These researches relate to the themes of natural risk, health risk and technological risk. Two orientations are proposed. First the theme of risk is addressed in terms of hazard, population vulnerability and complex decision-making about a risk or catastrophe (flooding, car travel, crowd movement, panic, population evacuation, pedestrian behaviour in urban transport, population vulnerability to a cholera epidemic, decision-making aids in crisis situations). The simulation models (simulation or GIS) are often proposed as part of a risk-management approach and meet the needs of private or public actors such as the RATP, CODAH or the Haute-Normandie regional council. Secondly, the theme of risk is addressed from a more conceptual angle. One paper looks at the methods of map algebra to create spatial information and new themes in the form of a GRID; another proposes a factual ontology of risk and catastrophe. The session is organized on a non-thematic basis. In this way the various contributions can be brought together. Three headings are proposed: 1) risk management 2) risk diffusion 3) conceptual models of risk.

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Evolution Problems and Complexity

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In the complex systems, there are many concrete situations described by different evolution problems. Our session is intended to give some tools and results in some problems governed by partial differential equations. Includes

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Chaotic Dynamics, Control and Applications of Complex Systems

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The main goal of this special session is to join together physicists, mathematicians and other scientists interested in new developments of chaotic dynamics in its broader sense, the different available methods of controlling chaos and their applications in complex systems arising in many fields of engineering and sciences, and in particular to life sciences such as the analysis of the dynamics of neurons and genetic regulation networks. The topics included, but not limited to, in this session are:

Deadlines and submissions

If you are interested to participate in this special session on "Chaotic Dynamics, Control and Applications in Complex Systems", you should contact Miguel AF Sanjuan and send him a one page abstract by April 27, 2009, besides formal registration at the home page of the conference ( http://litis.univ-lehavre.fr/~bertelle/iccsa2009/iccsa2009.html).

Please distribute among colleagues you might estimate they could be interested in this meeting.

DEADLINE OF ABSTRACTS: APRIL 27, 2009.

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Chaos and Synchronization of Fractional-Order Systems

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The development of models based on fractional-order differential systems has recently gained popularity in the investigation of dynamical systems. Fractional derivatives provide an excellent instrument for the description of memory and hereditary properties of various materials and processes. The real objects of objects of the fractional-order systems are that we have more degrees of freedom in the model and that a “memory” is included in the model. Recently, the chaotic dynamics of fractional-order systems began to attract much attention in recent years. It has been shown that the fractional-order systems, as generalizations of many well-known systems, can also behave chaotically, such as the fractional Chen, Chua, Rossler, Lorenz and Arneodo systems. Furthermore, recent work based on numerical simulations show that chaotic fractional-order systems can also be synchronized. The main topics of interest for this session include:

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Transportation and Logistics

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Authors are invited to present original work relevant to logistics, including but not limited to:

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Nonlinear Analysis of Time Series and Applications

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Nonlinear time series analysis is the practical spin-off from complex dynamical system and chaos theory. It allows one to characterize, or even make predictions of, dynamical systems in which nonlinearities give rise to a complex temporal evolution by analyzing signals measured from these dynamics. Importantly, this concept allows extracting information which cannot be resolved using classical linear techniques such as for example the power spectrum or spectral coherence. In recent years, the framework nonlinear time series analysis has been extended to also comprise methods derived from statistical physics, information theory, statistics and computer science. Application of nonlinear time series analysis can be found in many fields, ranging from biology, neuroscience, engineering, to geophysics and economics. This session will cover some recent advances in the methodology of nonlinear time series analysis and provide examples for applications to a variety of real-world experimental dynamics.

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Dynamical Systems, Synchronization

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Signal Processing

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Nonlinear Optimization

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Heuristics, Decision and Optimization

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Dynamic Graphs and Complex Systems

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The goal of this special session is to bring together researchers, whatever their original scientific field, working on dynamic graphs for modelling, simulating and/or analysing complex systems. Topics of interests include (but are not limited to):

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