The International Conference on Intelligent Systems Design and Applications (ISDA) is a major annual international conference bringing together researchers, engineers, developers and practitioners from academia and industry working in all interdisciplinary areas of computational intelligence and system engineering to share their experience, and exchange and cross-fertilize their ideas. The first day will include tutorials and workshops, organized by leading experts in the field.

Proceedings are expected to be published by Springer Verlag in one of the series. Details will be available soon.

Papers maximum length is 10 pages.
- Papers must be formatted according to Springer format (Latex/word).

Topics

A. Intelligent Systems Architectures and Applications (but not limited to):

    Artificial Neural Networks
    Mathematical foundations of neural networks
    Architectures and algorithms
    Learning theory (supervised/ unsupervised/ reinforcement learning)
    Knowledge based networks
    Implementation issues of neural networks
    Support Vector Machines
    Neural network applications
    Fuzzy Systems, fuzzy logic and possibility theory
    Fuzzy expert systems
    Fuzzy system design using evolutionary algorithms
    Fuzzy system modeling and simulation
    Fuzzy systems and applications
    Evolutionary Algorithms
    Genetic algorithms, evolution strategies, genetic programming and evolutionary programming
    Learning Classifiers
    Hybrid evolutionary algorithms
    Evolutionary algorithms and applications
    Fusion of neural network- fuzzy systems
    Fusion of fuzzy systems- evolutionary algorithms
    Fusion of neural network  evolutionary algorithms
    Fusion of neural network- fuzzy systems- evolutionary algorithms
    Intelligent agents (architectures, environments, adaptation/ learning and knowledge management)
    Bayesian networks and probabilistic reasoning
    Rough sets
    Statistical learning techniques
    Fusion of statistical methods and soft computing techniques
    CAD systems
    Intelligent optimization techniques
    Intelligent techniques in Bioinformatics

B. Intelligent Image and Signal Processing (but not limited to):

    Design and implementation of intelligent signal processing systems
    Image, video and multidimensional signal processing
    Multimedia signal processing
    Speech processing
    Features and classification
    Texture analysis
    Document analysis
    Stereoscopic vision
    Shape processing
    Object recognition
    Image and video retrieval
    Image and video compression

C. Intelligent Internet Modeling (but not limited to):

    Web intelligence
    Search engines
    Information retrieval (web mining)
    Database querying
    Ontology
    XML mining
    Intelligent networking between Web Sites
    Network security, intrusion detection
    Information aggregation and fusion
    Interaction with intelligent agents
    Intelligent agents and interfaces for personalization and adaptivity
    Intelligent tutoring systems on the WWW
    Adaptive hypermedia systems
    Agents for digital cities, virtual communities and agent societies

D. Intelligent Data mining (but not limited to):

    Discovering patterns in continuous data
    Uncertainty management for data mining
    Clustering algorithms and applications
    Classification trees
    Mining time series
    Mining in a Mobile Environment
    Statistical Considerations in Learning
    XML Mining
    Text Mining
    Distributed Data Mining

E. Intelligent Business Systems (but not limited to):

    e-learning, e-commerce, e-business, e-finance
    Risk management
    Derivatives pricing
    Portfolio management and asset allocation
    Stock market, forex market analysis, dynamics; simulation
    Hedging, trading & arbitrage strategies
    Financial modeling
    Computational economics
    Intelligent management
    Multicriteria decision making

F. Intelligent Control and Automation (but not limited to):

    Mathematical modeling and analysis of complex systems
    Soft computing/computational intelligence in control systems
    Knowledge based control systems
    Adaptive control systems
    Control applications in robotics, manufacturing, process control, industrial systems, automotive, vehicular systems, spacecraft and so on

G. Intelligent Agents (but not limited to):

    Adaptation and learning
    Agent architectures and communication languages
    Communication, collaboration, and interaction of humans and agents
    Conversational agents
    Coordinating multiple agents
    Designing agent systems  methodologies & software engineering
    Evolution of agents
    Knowledge acquisition and management
    models of emotion, motivation, or personality
    multi-agent communication, coordination, and collaboration

H. Intelligent Knowledge Management (but not limited to):

    Application of knowledge representation techniques to semantic modeling
    Development and management of heterogeneous knowledge bases
    Automatic acquisition of data and knowledge bases (especially raw text)
    Performance evaluation
    Parallel database systems
    Data and knowledge sharing
    Cooperation in heterogeneous systems
    Domain modeling and ontology-building
    Concurrent engineering and computer integrated manufacturing
    Digital Libraries
    Multimedia Databases.

I. Innovative Information Security

J. Innovative Networking and Communication Techniques

    Cognitive networking
    Protocol design, including cross-layer and opportunistic approaches.
    Delay tolerant networks
    Mobility management and seamless internetworking
    Key management and trust establishment in wireless networks
    MAC-layer design for ad hoc networks and WSNs
    Networked smartphone applications
    Opportunistic networking
    Power-aware architectures, algorithms, and protocols design
    QoS and Resource management
    Reliability, resiliency and fault tolerance techniques
    Resource management and wireless QoS provisioning
    Routing protocols, including unicast, multicast, broadcast, geocast
    Mobile computing and networking Mobility management
    Security and privacy issues in ad hoc networks
    -Smart grid
    -Vehicular networks and protocols
    -Coexistence of heterogeneous wireless networks.
    -Secure Mobile Agents and Mobile Code

K. Web Intelligence

L. Intelligent Software Engineering

    Autonomic and self-managed software  Requirements engineering
    Software evolution
    Automated software Testing and analysis
    Knowledge-based software engineering
    Software reuse
    Intelligent Software maintenance
    Service-oriented architectures
    Reengineering and reverse engineering
    Program comprehension and visualization
    Model-driven software engineering
    Intelligent Software design techniques
    Distributed, web-based and internet-scale SE
    Processes and workflow
    Software economics and metrics
    Patterns and frameworks