i. Evolutionary Computation (Genetic Algorithms, Particle Swarm Optimization, Differential Evolution, Artificial Bee Colony Algorithm, Bees Algorithm, Scatter Search Algorithm, etc.)..
ii. Learning Systems (Deep Learning, Support Vector Machines, Neural Networks, Kernel Methods, Random Forests).
iii. Modelling (Flux Balance Analysis, Minimization of Metabolic Adjustment, Flux Variability Analysis).
iv. Reasoning (Bayesian Networks, Dynamics Bayesian Networks, Boolean Networks).
i. Cancer Bioinformatics (Gene Expression, Pathways Analysis, Gene Networks, Biomarkers).
ii. In Silico Metabolic Engineering (Parameter Estimation, Metabolic Pathways, Regulatory Process, Biotechnology Production, Kinetic Model).
iii. Computational Genomics & Proteomics (Computational Genomics (Pathogenicity Prediction, Pharmacogenomics & Drug Discovery, Structural & Funtional Analysis).
i. Big Data Analytics
ii. Electronics Health Record
iii. Policy and Framework