Original papers are invited from multidisciplinary perspectives on subject areas including, but not limited to, the following:

Cognitive Informatics

• Informatics models of the brain

• Cognitive processes of the brain

• Internal information processing mechanisms

• Machine consciousness

• Neuroscience foundations of information processing

• Denotational mathematics

• Knowledge representation

• Autonomous machine learning

• Neural models of memory

• DNA and genome modelling

• Brain information processing

• Cognitive linguistics

• Cognitive complexity and metrics

• Bioinformatics

• Neural signal modeling

• Emotions/motivations/attitudes

• Cognitive sensors and networks

• Cognitive information fusion

Cognitive Computing

• Cognitive computers

• Cognitive robotics

• Autonomous Computing

• Knowledge processors

• Cognitive semantics of big data

• Cognitive machine learning

• Knowledge manipulations

• Pattern recognition

• Cognitive agent technologies

• Cognitive inferences

• Computing with words (CWW)

• Cognitive decision theories

• Concept & semantic algebras

• Fuzzy/rough sets/logic

• Affective computing

Computational Intelligence

• Cognitive computers

• Cognitive systems

• Cognitive man-machine communication

• Cognitive Internet

• World-Wide Wisdoms (WWW+)

• Mathematical engineering for AI

• Cognitive vehicle systems

• Semantic computing

• Distributed intelligence

• Mathematical models of AI

• Cognitive signal processing

• Cognitive image processing

• Artificial neural nets

• Genetic computing

• MATLAB models of AI

Advanced Computing

• Artificial Intelligence and Machine Learning

• Computer Architecture and VLSI

• Computer Graphics- Simulation and Modeling

• Data Management-Exploration and Mining

• Digital System and Logic Design

• Pattern Recognition and Analysis

• Robotics and Machine Vision

• Systems and Software Engineering

• Computational Intelligence

• Signal and Image Processing

• Reconfigurable Computing

• Biomedical Computing, Bioinformatics

• Green Computing Mobile Computing

• Ubiquitous Computing

• Cryptography and Applied Mathematics

Hybrid Intelligent Models and Applications

• Ant Colony for Neural Network Optimization

• Chaos Theory in Genetic Algorithms

• Genetic Algorithm for Fuzzy System Optimization

• Genetic Algorithms for Hybrid Intelligent Systems Design

• Genetic Algorithms for Neural Network Optimization

• Genetic Fuzzy Systems

• Genetic Neural Systems

• Hybrid Evolutionary Algorithms

• Hybrid Modular Neural Networks

• Hybrid optimization techniques

• Neuro-Fuzzy-Genetic Approaches

• Nature-inspired Smart Hybrid Systems

• Neuro-Fuzzy Models and Applications

• Hybrid Intelligent Systems for Pattern Recognition & Data Mining, Statistics and Soft Computing