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.