• Advanced vehicle routing planning
• Artificial Intelligence (AI) and Philosophy
• Application in pattern recognition, image understanding, control, robotics and bioinformatics
• Application in system design, system identification, prediction, scheduling and game playing
• Application in VLSI algorithms and mobile communication/computing systems
• Applications of real-time intelligent automation, and their associated supporting methodologies and techniques.
• Architectures, algorithms and techniques for distributed AI systems.
• Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning
• Aspects of software engineering, e.g. intelligent programming environments, the testing verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability.
• Automated reasoning and inference
• Bioinformatics
• Case-based reasoning
• Cognitive aspects of AI
• Commonsense reasoning
• Computer-aided design, product modeling, decision support systems, classification and standardization, product data interchange
• Computer-aided engineering, process simulation models, graphics
• Constraint processing
• Data and web mining
• Decision-support systems.
• Derivative-free optimisation algorithms
• Emotional intelligence
• Equipment for logistics
• Evaluation and optimisation
• Evolutionary and swarm algorithms
• Facilities management, management information systems, intelligent control systems
• Fault detection, fault analysis and diagnostics.
• Fuzzy sets and logic
• Heuristic search
• High-level computer vision
• Home automations
• Human machine interface
• Hybridisation of intelligent models/algorithms
• Industrial experiences in the application of the above techniques, e.g. case studies or bench-marking exercises.
• Information technology (IT)
• Intelligent Agents
• Intelligent control and automation
• Intelligent distribution systems
• Intelligent interfaces
• Intelligent planning
• Intelligent Robotics
• Intelligent search
• Intelligent transportation system theory and application
• Knowledge acquisition and ontologies
• Knowledge processing, e.g. a priori and self-learning, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems, neural networks, fuzzy systems and genetic algorithms.
• Logic programming
• Logistics optimization
• Machine Learning
• Machine learning tools
• Management information systems in logistics
• Marketing Automation
• Mathematics & Physics.
• Modelling, identification and simulation
• Multiagent systems
• Multi-agent systems
• Nanoscale automation and assembly
• Natural Language Processing
• Neural computing
• Office automations
• Other theoretical aspects, e.g. chaos theory and fractals
• Parallel and distributed realisation of intelligent algorithms/systems
• Perception, e.g. image and signal processing, pattern recognition, vision systems, tactile systems, and speech recognition and synthesis.
• Planning, scheduling and coordination
• Process automation
• Programming Languages
• Reasoning under uncertainty or imprecision
• Robotics, metrology, logistics, automated inspection, demolition/remediation
• Rough sets
• Software & Hardware Architectures
• Strategy and planning in logistics
• Supply chain network optimisation
• Technology & Computing
• Visual/linguistic perception
• Web Intelligence Applications

Type of the Paper