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About CCIS 2016

The Conference of Computational Interdisciplinary Science (CCIS 2016) aims to be a meeting place of researchers and students working in areas of science that use scientific computing in their research projects. It is an initiative of the Pan-American Association on Computational Interdisciplinary Sciences (PACIS) and has a periodicity of two years. Although there are other forums that discuss related topics, such as Applied Mathematics, Bioinformatics, and Computational Physics, the CCIS 2016 seeks, in an innovative way, a broader dialog, which is inherently inter- and multidisciplinary, where researchers from different areas can share their experiences and find solutions to their computational problems.

The conference program consists of keynote lectures, contributed sessions and tutorials on Computational Mathematics, Computational Physics and Astronomy, Computational Chemistry, Computational Biology, and computacional issues in geosciences. Topics like computational methods applied in Space and Environmental Sciences, Technology, Innovation and Economy are also in the conference scope.

Contributions can be oriented toward applications of computational methods, algorithms, numerical simulations and high-performance computing (HPC) in Science and Technology. The official language for the conference, including presentations and submissions, is English.

CCIS 2016 will focus on the following topics:

• Hybrid computing,
• GPU/GPGPU scientific computing;
• Computational Grid Applications;
• Cloud Computing and e-Science;
• Fuzzy and Quantum Computing;
• Frontiers of Computational Physics and Fluid Dynamics;
• Frontiers of Computational Chemistry & Biology;
• Computational Data Analysis, Simulation and Modeling;
• Validation in Astrophysics and Cosmology;
• Scientific Computing in Computer Science;
• Environmental Sciences and Geography Modeling;
• Image processing;
• Big Data, Data Science, and Data Mining;
• Parallel Numerical Algorithms;
• Libraries for Numerical Computations;
• Languages, Tools and Environments for Programming Numerical Algorithms;
• Applications of Numerical Algorithms in Science and Technology;
• Scientific Computing in Science and Engineering;
• Software Engineering for Scientific Applications;
• Applications of Computer Science;
• Optimization;
• Engineering;
• Computer Science;
• Telecommunications.