Call for Papers

IWOBI 2018 will be held in San Carlos, Alajuela (Costa Rica), and organized by the Instituto Tecnológico de Costa Rica, from  18 to 20 July.  

The contents of the conference will be organized in three sessions: a regular session and two special track sessions.

1. REGULAR SESSION. Topics of interest include, but are not limited to:

• Optimization and metaheuristic
• Biomathematics and Biostatistics
• Numerical Methods and Differential equations modeling
• Pattern Recognition and Classification
• Machine learning and Computational Intelligence Techniques
• Robotics
• Signal Processing and Analysis
• Computer vision
• Intelligent Networks
• Bioinformatics
• Computational anatomy
• Natural sounds and Speech Recognition
• Models of biological learning
• Brain-machine interfaces
• Speech and handwriting recognition

2. SPECIAL TRACK ON HIGH PERFORMANCE COMPUTING FOR NATURAL AND HEALTH SCIENCES. Topics of interest include, but are not limited to:

• Parallel Algorithms
• Parallel Programming Techniques
• Large Scale Distributed Systems
• High Performance Applications and Tools
• Multicore Architectures and Accelerators
• Grid and Cloud Computing, and Federations
• HPC Infrastructure and Datacenters
• Scientific and Industrial Computing
• Big data, Data Management and Visualization

3. SPECIAL TRACK ON BIOINFORMATICS AND SYSTEMS BIOLOGY. Topics of interest include, but are not limited to:

• Dynamic models of metabolic, signaling and gene expression networks, Flux Balance Analysis
• Improvements in genome assembly
• Biological network reconstruction and analysis
• Biomarker discovery and Disease classification
• Next-generation sequencing, copy number and gene expression analysis, Proteomics, Pharmacogenomics, epigenomics & other omics, Functional genomics
• Molecular evolution and phylogeny
• Protein folding and Protein docking
• Translational bioinformatics and Immunoinformatics
• Microbiomes applied to the field of conservation biology, disease and health.
• Metagenomics of unusual environments
• Applications of transcriptomics to study genome evolution and adaptation