- Artificial/Computational Intelligence: Architectures, Theory and Models
- Feature selection, dimension reduction, pattern classification and recognition
- Expert systems
- Possibility theory, Bayes network and hidden Markov models
- Artificial neural networks
- Fuzzy logic and fuzzy systems
- Rough sets and granular computing
- Evolutionary algorithms
- Learning classifiers
- Support vector machines
- Data mining
- Hybrid evolutionary algorithms
- Fusion of neural networks and fuzzy systems
- Fusion of fuzzy systems and evolutionary algorithms
- Fusion of neural networks and evolutionary algorithms
- Fusion of neural networks and fuzzy systems and evolutionary algorithms
- Bayesian networks and probabilistic reasoning
- Swarm intelligence
- Ant colony optimisation
- Computational intelligence
- Hybrid computational intelligence
- Applications in Bioinformatics and Systems Biology
- Bioinformatics Databases
- Gene expression and microarrays
- Data visualisation
- Motif and pattern discovery
- DNA assembly, clustering, and mapping
- Gene identification and annotation
- Parallel algorithms for biological analysis
- Biomedical image processing
- Molecular evolution and phylogeny
- Taxonomy
- Sequence analysis and alignment
- Ecological modelling
- Cell simulation and modelling
- Molecular modelling and simulation
- Mathematical immunology modelling and discovery
- Regulatory network and pathway analysis
- Functional genomics and large-scale functional genomics
- Models for cellular metabolism and inter-cellular signalling
- Genome- and proteome-scale modelling
- Analysis of protein interaction with other cellular constituents
- Protein structure and interaction prediction
- Comparative and quantitative proteomics
- Management of genomics and proteomics data
- Post-translational modification analysis
- Structural proteomics
