1.Title of the technical session: Numerical Simulation of Chaotic and Stochastic Systems in Quantum Mechanics, Field Theory, Biophysics and Statistical Physics.

Nerses Ananikyan
Dr.Sci., Prof.,Theoretical Division, Yerevan Physical Institute
ananik@moon.yerphi.am
Ashot Gevorkyan
Dr.Sci.,Prof., Head of Laboratory Industrial Mathematics,
Institute of Informatics and Problems of Automatics NAS Armenia
E-mail address:g_ashot@sci.am

The chaotic and stochastic systems are important objects of numerical simulation in contemporary quantum mechanics, field theory and statistical physics. Note that some important properties of these systems are revealed exceptionally by numerical simulation starting from the corresponding equations of motion. Although the different nature of considered physical systems they can be treated by the common numerical methods. Within the suggested section we intend to discuss the problems of mathematical modeling in following main directions:
* Quantum dynamical systems
* Quantum dissipative systems
* Thermodynamics of spin and gauge lattice models
* Disordered condense matter
* Structural Biophysics

2.Title of the technical session: Computer Algebra Systems and their Applications

Name: Andres Iglesias, Akemi Galvez

Affiliation: University of Cantabria (Spain)

Mailing address: Dept. of Applied Mathematics and Computational Sciences
E.T.S.I. Caminos, Canales y Puertos
Avda. Los Castros, s/n.
University of Cantabria
39005 - Santander, SPAIN

E-mail address: iglesias@unican.es, galveza@unican.es

Description of the topic of the session (not exceeding 100 words):

Computer Algebra Systems (Mathematica, Maple, Matlab, Derive, etc.) have found applications in many domains of science such as mathematics, computer science, physics, chemistry, etc. This technical session/workshop focuses on actual or possible applications of computer algebra systems (CAS) to other fields: image processing, robotics, physics, mathematics on the Internet, geometry, symbolic-numeric algorithms, mathematical physics, education, symbolic and numerical scientific computation with CAS, problem solving environments, automatic theorem proving, etc. Substantial interactions of CAS with other fields and CAS software will also be considered.

Web site: http://personales.unican.es/iglesias/CASA2003/

3.Title of the technical session: Computer Graphics

Name: Andres Iglesias

Affiliation: University of Cantabria (Spain)

Mailing address: Dept. of Applied Mathematics and Computational Sciences
E.T.S.I. Caminos, Canales y Puertos
Avda. Los Castros, s/n.
University of Cantabria
39005 - Santander, SPAIN

E-mail address: iglesias@unican.es

This Technical Session will accept original papers describing research on computer graphics. Therefore, there is no restriction about the paper contents, provided that the subject is computer graphics or any related area. The paper should clearly identify the computer graphics field of the paper in order to speed up the reviewing process. In addition, the paper should emphasize the problem to be solved, the procedure to do it, and the potential or actual applications of the paper.

Survey papers can be accepted, on the basis that they provide an interesting new approach to some specific field or they include an organized, well-estructured review with a well-documented bibliography so that the paper can be useful for beginners.

Finally, papers describing hardware and/or software systems for any computer graphics topics are also welcomed.

Web site: http://personales.unican.es/iglesias/TSCG2003/

4.Computational Science of Lattice Boltzmann Modelling
a workshop held during the ICCS2003 conference, June 2-4, 2003.

Prof. B. Chopard, University of Geneva, Switerland,
Bastien.Chopard@cui.unige.ch
Dr. A.G. Hoekstra, University of Amsterdam, The Netherlands,
alfons@science.uva.nl

The Lattice Boltzmann Method is an alternative approach for simulations of complex fluid flows, based on a special discretization of the Boltzmann equation. It has a very strong and proven track record in single phase flows, typically in very complex geometries, and in complex multiphase flows, suspension flows, etc. The aim of this workshop is to discuss computational issues related to Lattice Boltzmann Modelling, such as e.g.

* optimized boundary conditions
* grid refinement and non-Cartesian grids
* advanced numerical techniques to solve the Lattice Boltzmann Equations
* advanced problem solving environments based on LBM
* multiphysics simulations (i.e. coupling LBM with other micro-, meso-, or macroscopic methods)
* new application fields for LBM
* using the LBM approach to model other macroscopic phenomena (e.g. waves, elasticity, etc.)
* others

Web site: http://www.science.uva.nl/~alfons/ICCS2003_LBM

5.Title: Grid Computing for Computational Science

Matthias Mueller
HLRS, University Stuttgart, Germany
mueller@hlrs.de
Craig Lee
Aerospace Corporation
craig@rushe.aero.org

The Grid is generally seen as the emerging infrastructure of computational resources connected by high-speed networks. Many national, European and international projects of various sizes have been launched during the last months trying to explore the Grid and to change the way we are doing our everyday work. Using the Grid for computational science, however, presents a huge number of challenges that must be solved for this vision to become reality. Just a few of the outstanding issues include co-scheduling of multiple machines, tolerating low bandwidth and high latencies, efficient access to large, remote data stores, and ease of grid application development. These and other issues must be addressed such that researchers can solve larger problems in less time, and also focus on the science rather than on the computers and networks.This workshop will bring together:
* Computational scientists with experiences in using the Grid to solve their problems
* Application developers writing either new Grid-enabled applications or adopting old code to this new paradigm
* Researchers using or creating tools to support the development of computational science in the grid environment

6.Title: High-Performance Environmental Computations

Dr.A.Boukhanovsky
Dr. E.Stankova
Institute for High-Performance Computing and Information Systems, St. Petersburg, Russia
avb@fn.csa.ru
lena@fn.csa.ru

Modern level of the investigations in environmental science allow to investigate together meteorological, oceanographic, chemical and biological characteristics of the environment taking into account spatial-temporal variability, including those effected by anthropogenic factors. Scientists are standing before such challenging problems as: to understand, detect and predict dangerous spatial-temporal variations and develop strategies for their prevention, to preserve the ecosystems and protect biodiversity, to develop methods for tremendous amount of experimental result data adaptation. These objectives cannot be achieved without using great computational resources and advanced numerical algorithms and without close liaison with the specialists in the field of computational science.

7.Title: Workshop: Computational Finance and Economics

Xiaotie Deng
City University of Hong Kong, Hong Kong
csdeng@cityu.edu.hk
Shouyang Wang
Academy of Mathematical and System Sciences, Chinese Academy of Sciences, Beijing, China
sywang@iss02.iss.ac.cn

The workshop focus on computational economics and finance including but not limited to modeling, numeric computation, algorithmic and complexity issues in arbitrage, asset pricing, future and option pricing, risk management, credit assessment, interest rate determination, insurance, foreign exchange rate forecasting and portfolio selection, financial optimization with applications, on-line auction, cooperative game theory, general equilibrium, information pricing, network bandwitch pricing, rational expectation, repeated games, etc.

8.Title: Numerical Methods for Structured Systems

Nicoletta Del Buono
University of Bari, ITALY
delbuono@dm.uniba.it
Tiziano Politi
Politecnico of Bari, ITALY
pptt@dm.uniba.it
Luciano Lopez
University of Bari, ITALY
lopezl@dm.uniba.it

The aim of this technical session is to discuss and explain some ideas, methods and techniques used in the field of geometric integration with particular relevance to their applications in engineering and informatics areas. The following areas and related topics are of interest: * Conservative one-step and multistep methods for ODEs;
* Geometrical approach and its applications in linear algebra;
* Gradient flow approaches and its applications;
* Geometrical algorithms for control and circuits theory;
* Numerical methods for oscillatory problems.

9.Title: Computational Chemistry and Molecular Dynamics

Antonio Lagana
Perugia University, Dipartimento di Chimica, Perugia, Italy
lag@impact.dyn.unipg.it

Computational Chemistry is a discipline aiming at the development and the understanding of Chemistry by exploiting the potentialities of computational methods and techniques. Its links with e-Science and computer technology related innovations are very tight. This fosters several conceptual breakthroughs which drive the present evolution of molecular structure and dynamics, material and life sciences, simulations and molecular virtual reality, chemical learning and knowledge bases.

Goal of this session is to exploit the richness of such an interaction between computing and chemistry that makes computational chemistry play an active role among computational sciences.

Related topics

Electronic energy and molecular structure
Molecular reactions and dynamics
Simulations and virtual molecular reality
High performance in chemical computations
Grid systems in computational chemistry

10.Title: Recursive and adaptive signal/image processing - RASIP.

Innokenti V. Semoushin
Ulyanovsk State University, Ulyanovsk, Russia
SemoushinIV@ulsu.ru

Last years are characterized by invention of many interesting approaches to surmounting uncertainty in random signal and image receiving and processing. An efficient way to solve this problem lies in the use of adaptive systems. In doing so, adaptation is taken to mean learning or self-learning or self-tuning being performed together with the early, wherever possible, change point detection. Many signal processing and image processing methods are recursive by nature to save computer time and memory. Different applications in Medicine, in Navigation, in Power Engineering, or in Telecommunications, provide instances of the problem.