The Second International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP)

Venue: Universidad Politécnica

Location: Valencia, Valencia, Spain

Event Date/Time: Apr 17, 2008
Paper Submission Date: May 05, 2008
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With the advent of high performance computing environments, virtualization, distributed and parallel computing, as well as the increasing memory, storage and computational power, processing particularly complex scientific applications and voluminous data is more affordable. With the current computing software, hardware and distributed platforms effective use of advanced computing techniques is more achievable.

The goal of the International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008, is to bring together researchers from the academia and practitioners from the industry in order to address fundamentals of advanced scientific computing and specific mechanisms and algorithms for particular sciences. The conference will provide a forum where researchers shall be able to present recent research results and new research problems and directions related to them. The conference seeks contributions presenting novel research in all aspects of new scientific methods for computing and hybrid methods for computing optimization, as well as advanced algorithms and computational procedures, software and hardware solutions dealing with specific domains of science.

Topics of special interest (but not limited to):

Computing techniques:

Hybrid computational methods
Advanced numerical algorithms
Parallel and grid computing
Autonomic computing
Computational logics
Neuronal networks
Genetic algorithms
Fractals & Superfractal algorithms
Random graph dynamics
Clustering large and high dimensional data
Computation Genomic
Biological Sequence analysis
System theory and control
Computing support:

Support for scientific problem-solving
Support for decisions
Agent-assisted workflow support
Middleware computation support
High performance computing
Problem solving environments
Computational science and education
Application domains:

Advanced scientific computing
Development of numerical and scientific software-based systems
Management of scientific data and knowledge
Advanced computing in bioinformatics and biophysics
Advanced computing in molecular systems and biological systems
Application of engineering methods to genetics
Medical computation and graphics
Advanced computing in simulation systems
Advanced computing in mathematics
Advanced computing for statistics and optimization
Advanced computing in operation research
Advanced computing in mechanics and quantum mechanics
Advanced computing in civil engineering
Advanced computing in physics science
Advanced computing in chemistry science
Advanced computing for geosciences and meteorology
Maps and geo-images building
Curve and surface reconstruction
Financial computing and forecasting
Advanced computing in economics
Advanced computing in robotics and manufacturing
Advanced computing on Earth science, geosciences and meteorology
Advanced computing in electronics and electrical science
Advanced computing in power systems
Environmental advanced computing
Semantic processing

Fundamental of semantic processing (storing, computing, representation, communications, etc.)
Semantic-driven system design
Syntactic and semantic processing models
Semantic networking and routing
Hardware and software support for semantic processing
Microprocessors for semantic processing
Multi-model semantic systems
Semantic annotation of multimedia supports
Semantic multimedia information retrieval
Natural language semantic processing
Context-based semantic processing
Content-based semantic processing
Performance in semantic processing
Information security in semantic processing
Applications, services and systems based on semantic processing
Speech, text and picture recognition
Semantic email workflow and content
Semantic blogs and wikis
Semantic email addressing
Semantic web and digital libraries
Semantic processing for biomedical knowledge
Semantic processing in e-Health
Semantic-driven tutoring systems
Semantic processing platforms
Lessons learnt
Advanced searching for video, voice and speech [VVS]:

Engines and methods for VVS advanced searching
Advanced process for multimedia information mining
Searching using metadata, semantics, and ontology
Advanced searching in digital libraries
Advanced use of RDF and OWL
Patterns in VVS searching
Contextual VVS searching
Rapid VVS searching
Accuracy in VVS searching
Noise in VVS searching
Performance in VVS searching
Metrics for VVS searching
Text and VVS searching
Applications of VVS