Scope :

1. Machine Learning & Soft Computing: Artificial Immune Systems, Ant Colony; Bioinformatics, Biologically Inspired Intelligence; Chaos Theory and intelligent control systems; Computational Paradigms and complexity; Deep learning; Evolutionary Computing; Fault detection, fault analysis and diagnostics; Fuzzy Computing; Hybrid Methods & Computing; Immunological Computing; Memetic computing; Morphic Computing; Neuro Computing; Particle Swarm; Probabilistic Computing; Rough Sets and granular computing; Soft computing in P2P, Grid, Cloud and Internet Computing Technologies; Support Vector Machines; Wavelet.
2. Data Mining & Big Data Analytics: Business analytics; Big data infrastructure and visualization; Cloud computing; Data characteristics and complexities; Data and knowledge creation, discovery, processing, modelling, mapping, search, interopera­bility, exchange, integration, and visualization; Data mining; Intelligent databases, indexing, and query processing; social analytics, and text analytics; Information retrieval and extraction; Ontologies and the Semantic Web; Privacy and security in Big Data; Large-scale optimization; Scalable computing and high-performance computing for big data; Statistical and mathematical techniques; Ubiquitous, grid and high performance computing; Web and mobile Intelligence.
3. Computer Vision and Pattern Recognition: Audio/Image/Video/Multimedia analysis and processing; Computer Vision; Cognitive Robotics; Intelligent interfaces; Interaction; Signal Processing; Speech processing; Recognition; User Centered approache
4. Automated Reasoning: Agent & Multi-agent systems; Automated reasoning and inference; Bayesian Networks and Probabilistic Reasoning; Case-based reasoning; Commonsense reasoning; Cognitive aspects of Artificial Intelligent Planning and theories of action; Reasoning under uncertainty or imprecision; Natural language processing; Knowledge representation & Expert System.