Adaptive fuzzy pattern recognition
Agent based modeling and fuzzy logic.
Artificial Life and Artificial Immune Systems.
Autonomy-Oriented Computing.
Bio Sensors.
Bio-based models and paradigms in computer vision.
Bioinformatics and Cheminformatics.
Bio-inspired Fuzzy Clustering, Image Classification.
Bio-inspired fuzzy logic controllers for power system stabilizers.
Bio-inspired fuzzy models applied to cloud computing.
Biological Computing.
Biological vision to artificial vision.
Biologically inspired imaging and sensing.
Biologically inspired sensors design.
Cellular and Molecular Automata.
Cognitive concept learning under the environment of big data.
Complex data analysis: preprocessing and processing and other real life static and dynamic problems.
Computational complexity.
Computational Neuroscience.
Bio Security.
Computer Vision Methods for Bioinformatics.
Data Fusion, Knowledge Discovery and Data Mining.
DNA and Molecular Computing.
DNA Nanotechnology.
Evolutionary Computing and Genetic Algorithms.
Expert Systems.
Eye-based biometric recognition systems.
Fuzziness application in big data.
Fuzzy logic approaches in Evolutionary Computation.
Fuzzy-Neural and Hybrid schemes in adaptive estimation and control.
Granular computing based concept learning algorithms for big data.
Human Computer Interaction.
Learning based on Fuzzy Rule-Based Systems.
Machine Learning and Decision Science.
Mathematical foundations of formal concept analysis for incremental computing.
Mathematical models of granular computing for parallel computing.
Microelectronics for Fuzzy and Bio-inspired Systems.
Multiobjective Bio-inspired Fuzzy Systems.
Multi-granularity and multi layered models of concept lattice.
Multi-Objective Optimization.
Natural Language Processing.
Neuro-fuzzy technologies for medical and bioengineering applications.
Unconventional and biologically inspired signal/image processing.
Visual-based interactive robotics.
