• Machine Intelligence with specific emphasis on:
    • Expert, Agents, Diagnostic and Decision Supporting Systems.
    • Data and Web Mining.
    • Neural Networks, Fuzzy Systems, Rough Set Theory, Chaos Theory and Evolutionary Algorithms.
    • Reasoning, Knowledge Extraction and Knowledge Management.
  • Applications of Computer Science in Modeling.
  • Visualization and Multimedia.
  • Data and Information Systems.
  • Internet and Distributed Computer Systems.
  • Semantic Web Technologies and Social Semantic Web.
  • Graphics and Imaging.
  • Bio-informatics.
  • Natural Language Processing.
  • Computational Mathematics.
  • Robotics and Micro-Robotics.
  • Bio-informatics.
  • Natural Language Processing.
  • Computational Mathematics.
  • Robotics and Micro-Robotics.
  • Theoretical Informatics.
  • Quantum Computing.
  • Software Testing.
  • Computer Vision.
  • Digital Systems.
  • Pervasive Computing.
  • Computational Topology.
  • Information Personalization.
  • Human-Computer Interaction.
  • Ensemble Modeling.
  • Wavelet Representations.
  • Principle of Concurrency.
  • Software Life-cycle Management.
  • Social Network Mining.
  • Embedded Systems.
  • Pattern Recognition.
  • Signal Processing.
  • Bayesian Statistics.
  • Adaptive Control.
  • Sequential Decision Theory.
  • Digital Forensics.