Bioinformatics: 
• Genomics and genetics, including integrative & functional genomics, genome evolution, Next generation sequencing data analysis, applications, and software and tools, Big data science including storage, analysis, modeling, visualization, and cloud, Precision medicine and translational bioinformatics, Drug discovery, design, and re-purposing, Proteomics, and protein structure prediction, molecular simulation and evolution, Image analysis and processing, Single cell sequencing data analysis. 

Intelligent Computing: 
• Machine learning, data mining, pattern recognition, and knowledge discovery, Natural language processing, literature mining, semantic ontology, and health informatics, Neural computing, kernel methods, feature selection/extraction, Evolutionary computing, swarm intelligence / optimization, ensemble methods, Manifold learning theory, artificial life and artificial immune, Biomedical Informatics general topics. 

Systems Biology: 
• Modeling and simulation of biological processes, pathways, and networks. Mathematical and quantitative models of cellular and multi-cellular systems, Multi-dimensional omics data integration, Synthetic biological systems, Metalobolomics, microbiome, and lipidomics, Self-organization in living systems (cells, organisms, swarms, ecosystems, etc.), Applications of systems biology approaches to biomedical studies.