Topics of interest include but are not limited to:

Hybrid Intelligent Systems Architectures and Applications

• Interactions between neural networks and fuzzy inference systems.
• Artificial neural network optimization using global optimization techniques.
• Fuzzy clustering algorithms and optimization techniques.
• Fuzzy inference system optimization using global optimization algorithms.
• Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms.
• Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP etc.).
• Hybrid of soft computing and statistical learning techniques.
• Models using inductive logic programming, logic synthesis, grammatical inference, case-based reasoning etc.
• Autonomic computing.
• Hybridizatiion with novel computing paradigms: Qantum computing, DNA computing, membrane computing etc.

Soft Computing for Image and Signal Processing

• Image generation, acquisition, and processing.
• Virtual reality.
• Design and implementation of intelligent signal processing systems.
• Image, video and multidimensional signal processing.
• Speech processing.
• Texture analysis.
• Stereoscopic vision.
• Shape processing.
• Object recognition.
• Image and video retrieval.
• Image and video compression.

Intelligent Internet Modeling, Communication and networking

• Web intelligence.
• Intelligent Search engines.
• XML mining.
• Intelligent networking between Web Sites.
• Network security, intrusion detection.
• Intelligent agents and interfaces for personalization and adaptivity.
• Intelligent tutoring systems on the WWW.
• Adaptive hypermedia systems.
• Web Services modeling.
• Network Management.
• Mobile Internet.

Intelligent Data mining

• Discovering patterns in continuous data.
• Uncertainty management for data mining.
• Clustering algorithms and applications.
• Classification trees.
• Mining time series.
• Distributed Data Mining.

Intelligent Business Systems

• e-learning, e-commerce, e-business, e-finance.
• Risk management.
• Derivatives pricing.
• Portfolio management and asset allocation.
• Stock market, forex market analysis, dynamics and simulation.
• Computational economics.
• Multicriteria decision making.

Intelligent Control and Automation

• Mathematical modeling and analysis of complex systems.
• Knowledge based control systems.
• Adaptive control systems.
• Control applications in robotics, manufacturing, process control, industrial systems, automotive, vehicular systems, spacecraft and soon.
• -Intelligent Agents
• Adaptation and learning.
• Coordinating multiple agents.
• Evolution of agents.
• Models of emotion, motivation, or personality.
• Multi-agent communication, coordination, and collaboration.

Knowledge Management

• 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.
• Data and knowledge sharing.
• Cooperation in heterogeneous systems.
• Domain modeling and ontology-building.
• Concurrent engineering and computer integrated manufacturing.
• Digital Libraries.
• Multimedia Databases.

Affective Computing

• Kansei Information Processing.
• Models, theories and taxonomies of emotions.
• Emotion synthesis.
• Emergent emotion and emotional behavior.
• Emotion recognition.
• Embodiment of emotional systems.
• Emotions and other affective phenomena (moods, temperament, and personality).
• Applications: Synthetic characters, robots, computational theater, interface assistants, pedagogical agents, music, art, education, entertainment, multi-agent systems, bio-feedback, etc.