1–4 July 2020, Cagliari, Italy
The 2020 International Conference on Computational Science and Its Applications (ICCSA 2020)

ICCSA 2020 is the next event in the series of highly successful International Conferences on Computational Science and Its Applications, previously held in Saint Petersburg - Russia (2019), Melbourne - Australia (2018), Trieste - Italy (2017), Beijing- China (2016), Banff - Canada (2015), Guimaraes - Portugal (2014), Ho Chi Minh City - Vietnam (2013), Salvador da Bahia - Brazil (2012), Santander - Spain (2011), Fukuoka - Japan (2020), Suwon - Korea (2009), Perugia - Italy (2008), Kuala Lumpur - Malaysia (2007), Glasgow - United Kingdom (2006), Singapore - Singapore(2005), Assisi - Italy (2004), Montreal - Canada (2003), and, as ICCS, in Amsterdam - The Netherlands (2002) and San Francisco - USA (2001).

Computational Science is a main pillar of most of the present research, industrial and commercial activities and plays a unique role in exploiting ICT innovative technologies.

The ICCSA Conference offers a real opportunity to bring together scientists of different disciplines, discuss new issues, tackle complex problems and find advanced solutions breeding new trends in Computational Science.

Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers will appear in the Conference proceedings to be published by Springer-Verlag in Lecture Notes for Computer Science and Conference Publishing System (CPS). The authors of a selected number of top quality papers will be requested to extend their papers for further review and publication as special issues in highly recognized international journals.

ICCSA 2020 accepts paper submission in the following categories: General Tracks papers and Workshop papers. The details for each paper submission category can be found at the URL and the list of Workshops at the URL:

Conference Themes

The ICCSA 2020 Conference themes, grouped in five tracks, are the following (but are not limited to):

  1. Track: Computational Methods, Algorithms and Scientific Application
    Computational Biology
    Computational Combustion
    Computational Chemistry
    Computational Fluid Dynamics
    Computational Physics
    Computational Geometry
    Computational Mathematics
    Computational Mechanics
    Computational Electro-magnetics
    Numerical Methods and Algorithms
  2. Track: High Performance Computing and Networks Parallel and Distributed Computing
    Cluster Computing
    Cloud Computing
    Autonomic Computing
    P2P Computing
    Mobile Computing
    Grid and Semantic Grid Computing
    Workflow Design and Practice
    Computer and Network Architecture
  3. Track: Geometric Modelling, Graphics and Visualization
    Scientific Visualization
    Computer Graphics
    Geometric Modelling
    Pattern Recognition
    Image Processing
    Web3D, Virtual and Augmented Reality
  4. Track: Advanced and Emerging Applications
    Biometric Modelling
    Environmental, Climate and Weather Modelling
    Geology and Geophysics
    Nuclear Physics
    Financial and Economical Modelling
    Computational Journalism
    Geographical Information Systems
  5. Track: Information Systems and Technologies
    Information Retrieval
    Scientific Databases
    Security Engineering
    Risk Analysis
    Reliability Engineering
    Software Engineering
    Data Mining
    Artificial Intelligence
    Machine Learning
    Learning Technologies
    Web Based Computing
    Web 2.0

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