The conference topics include, but are not limited to:
A.Product Design and Design Computing
Agents in design
Artificial intelligence in design
Biologically-inspired design
Collaborative design
Cognitive theories applied to design
Computational theories applied to design
Creative design
Design in practice
Digital media in design
Evolutionary approaches in design
Games and design
Human cognition in design
Learning from human designers
Machine learning in design
Multi-modal design
Situated computing in design
Virtual environments in design
Visual and spatial reasoning in design
B.E-engineering
Collaborative product design and manufacturing
E-commerce engineering
Enterprise resources planning
Modeling and simulation of workflow in design and manufacturing processes
Modeling and simulation of materials processing
Modeling and integration of enterprises
Numerical control and intelligent control
Neural network
Theory and application of computation
Virtual design and virtual manufacturing
C. Control and Industrial Engineering
Adaptive control
AI applications in industrial engineering
Application to systems design and analysis
Autonomous agents
Bio-informatics
Case-based reasoning
Chance discovery
Computer vision
Computer-aided design and intelligent manufacturing
Constraint satisfaction
Conversational informatics
Customer/Supplier relationship management
Data mining & KDS
Decision analysis/decision theory and method
Distributed problem solving
Stability of system and application of stability
Theory of control
D. Industrial Informatics
intelligent automation
intelligent control
intelligent optimization
Manufacturing control and automation
manufacturing systems integration
Man-machine cooperative systems, multimedia support
Macaronis, robotics, robotic control
Process systems modeling and simulation
Process faults detection, diagnosis
Real-time and embedded systems
Recycling and industrial eco-environments
Real-time decision and control algorithms
Robust control
Software intensive automation systems
Tolerant control
Workflow management