Given the current global security environment, there has been increased interest within the security and defense communities in novel techniques for solving challenging problems. The genesis of this interest lies in the fact that repeated attempts of using traditional techniques have left many important problems unsolved, and in some cases, not addressed. New problems have emerged within the broad areas of security and defense that are difficult to tackle with conventional methods, thus requiring new techniques for detecting and adapting to emerging threats.
The purpose of the symposium is to present current and ongoing efforts in computational intelligence (e.g., neural networks, fuzzy systems, evolutionary computation, swarm intelligence, and other emerging learning or optimization techniques) as applied to security and defense problems.
This symposium aims at publishing high-quality research efforts rooted in Computational Intelligence as applied to defense and security problems. First-class contributions addressing research challenges in these areas and their CI-based solutions (i.e., neural networks, fuzzy systems, evolutionary computation, swarm intelligence, rough sets, granular computing, and other emerging learning or optimization techniques) are solicited.
To help ensure correct formatting, please use the style files for U.S. Letter Size found at the IEEE link below as templates for your submission. These include the templates in both LaTeX and Word format.
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Please submit only full papers (not abstracts) of no more than 8 pages (incuding figures, tables and bibliography), in two-column format using any of the above templates, written in English, and in PDF, using the following link: http://ieee-cis.org/conferences/ssci2017/upload.php.
More info can be found here. Please specify CISDA as the Main Research Topic while submitting the paper.
Email: m.cococcioni@unipi.it
Email: KellerJ@missouri.edu
Email: ssundaram@ntu.edu.sg
Email: m.cococcioni@unipi.it
