ICCS 2018 - 2018 International Conference on Computational Science

The International Conference on Computational Science is an annual conference that brings together researchers and scientists from mathematics and computer science as basic computing disciplines, researchers from various application areas who are pioneering computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields, to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research.
ICCS 2018 in Wuxi, China, will be the eighteenth in this series of highly successful conferences.
Since its inception in 2001, ICCS has attracted increasingly higher quality and numbers of attendees and papers. Average attendance each year is about 350 participants. The proceedings series have become a major intellectual resource for computational science researchers and serve to both define and advance the state of the art of the field. An archive of the previous meetings is available through the Previous ICCS conferences page
Out of the submitted full papers to the main track and workshops, we will select some 30% high-quality papers for presentation at the conference and publication in the proceedings. These are published by Elsevier in the open-access Procedia Computer Science series and indexed by Scopus, ScienceDirect, and Thomson Reuters Conference Proceedings Citation (former ISI Proceedings) – an integrated index within Web of Science. The papers will contain linked references, XML versions and citable DOI numbers.
ICCS is well known for its excellent line up of keynote speakers, and the coming edition will keep to this tradition. Keynote names and details will be announced soon.
The theme for ICCS 2018 is “Science at the Intersection of Data, Modelling and Computation”, to highlight the role of these three fundamental concepts in shaping modern science. This conference will be a unique event focusing on recent developments in: scalable scientific algorithms; advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms and tools drive new science through efficient application in areas such as physical systems, computational and systems biology, environmental systems, finance, and others.