This special session is part of the 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, which is to be a fully virtual conference held from October 27-29, 2020.
Description:
The study of epidemics is of crucial importance in the time of COVID-19. High-quality papers studying the use of computational intelligence, or other forms of artificial intelligence, for any aspect relating to this area are solicited. Topics of interest include, but are not limited to, the application of computational intelligence to the following:
– Epidemic modelling
– Epidemic models dealing with incomplete or inconsistent information
– Treatment strategies
– Immunology
– Public health decision support
– Molecular modeling for vaccines and treatment development
– Community detection in networks
– Pandemic management modeling for transportation and supply networks
– Techniques for network analysis
– Techniques for network synthesis from data
– Intelligent management and support for contact tracing
All papers will be fully refereed and will appear as part of the conference proceedings on IEEExplore. In addition, non-refereed late-breaking abstracts (max 2 pages) will be welcomed. Please refer to the conference website (https://cibcb2020.uai.cl/) for further information concerning deadlines, submission information, and journal special issues.
Co-organizers:
Michael Dube
Department of Computer Science
Brock University, Canada
Email: md12ol@brocku.ca
Sheridan Houghten
Department of Computer Science
Brock University, Canada.
Email: shoughten@brocku.ca
James Hughes
Department of Computer Science
St. Francis Xavier University, Canada
Email: jhughes@stfx.ca
Daniel Ashlock
Department of Mathematics & Statistics
University of Guelph, Canada
Email: dashlock@uoguelph.ca