2007 International Conference on Life System Modeling and Simulation (LSMS) aims to bring together researchers and practitioners in the field of life system modeling and simulation as well as life system inspired theory and methodology from all over the world. It builds upon the success of an early LSMS workshop held in Shanghai, China, 2004. The LSMS conference technical exchanges within the research community will carry on in the forms of keynote speeches, panel discussions, special sessions, tutorial workshops, as well as poster presentations. In addition, participants will be treated with a series of social functions, receptions and networking sessions, which will serve as a vital channel to establish new connections, foster everlasting friendships, and forge collaborations among fellow counterparts.
The concept of life system is quite broad. It may consist of both micro and macro components from cells, tissues, organs to organisms and ecologic niches, which interact and evolve to make a whole system most complicated to comprehend and predict. The turn of the 21st century has been marked by a resurgence of interest in achieving a systems-level understanding of biology and applying such understanding in complex real-world applications. Consequently, computational methods and intelligence in systems biology and bio-inspired computational intelligence emerge as key roles in pursuing for novel computational methodology. Papers related to these two themes are especially solicited, including theories, methodologies, and real-world applications.
PROGRAM TOPICS
LSMS 2007 covers all topics related to life system, including, but are not limited to:
A. COMPUTATIONAL METHODS AND INTELLIGENCE IN
LIFE SYSTEM MODELLING AND SIMULATION
A1 Biological and biomedical data integration, mining and visualization
A2 Brain stimulation, neural dynamics and neural Interfacing
A3 Computational intelligence in bioinformatics and biometrics
A4 Computational methods and intelligence in modeling genetic and biochemical networks and regulation
A5 Computational methods and intelligence in modelling of molecular, cellular and multi-cellular behaviour and dynamics
A6 Computational methods and intelligence in organism modeling
A7 Computational methods and intelligence in ontology and taxonomy study and drug design
A8 Computational methods and intelligence in modelling and design of synthetic biological systems
A9 Computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering
A10 High performance bio-computing
A11 Modelling and simulation of societies and collective behaviour
A12 Modelling software and makeup language in systems biology
B. LIFE SYSTEM INSPIRED COMPUTIONAL
INTELLIGENCE AND APPLICATIONS
B1 Advanced neural network theory and algorithms
B2 Advanced evolutionary computing theory and algorithms
B3 Advanced theory and methodology in fuzzy systems and soft