Topics are encouraged, but not limited to, the combination of at least two of the following areas in the field of Hybrid Intelligent Systems:

  • Fusion of soft computing and hard computing
  • Evolutionary Computation
  • Visualization Techniques
  • Optimization Techniques
  • Ensemble Techniques
  • Case base reasoning
  • Chance discovery
  • Data mining and decision support systems
  • Big Data modeling and visualization
  • Intelligent agent-based systems
  • Cognitive and Reactive distributed AI systems
  • Intelligent Human Interfacing
  • Deep Learning
  • IoT and Intelligent Cloud/Fog Computing
  • Computation in Bio-Medicine
  • Intelligent Sensors
  • Intelligent Time Series processing
  • etc.

Applications in real world scenarios include mining engineering, security, prediction, control, robotics, image and speech signal processing, bioinformatics, biology and medicine, business and management, knowledge management, artificial societies, chemicals, pharmaceuticals, food industry, geographic information systems, materials and environment engineering and so on.