The CoDIT’20 conference is the seventh (7th) edition in the series of the International Conference on Control, Decision and Information Technologies, organized since 2013, the previous one CoDIT’19 having held in Paris, France, in April 2019.
CoDIT’20 will be held June 29 – July 2, 2020 at Prague, Czech Republic. Its purpose is to be a forum for technical exchange amongst scientists having interests in Control, Optimization, Decision, all areas of Engineering, Computer Science and Information Technologies. This conference will provide a remarkable opportunity for the academic and industrial communities to address new challenges, share solutions and discuss future research directions. The technical program will include plenary lectures, regular technical sessions, and special sessions.
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We invite you to submit a paper(s) to the 7th, 2020 International Conference on Control, Decision and Information Technology, CoDIT’20 (will be held from June 29 to Julu 2, 2020 in Prague, Czech Republic).
website: https://codit2020.com
Call for Ppaers: https://codit2020.com/Call_for_Papers_CoDIT2020.pdf
Usually at this conference there are about 400 to 500 attendees.
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Important dates and deadlines:
Special session Proposal: December 20, 2019
Papers submision deadline: January 24, 2020
Acceptance notification: April 10, 2020
Final version due: April 30, 2020
Registration deadline: April 30, 2020
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We are looking to organize focused special (or invited) sessions.
The Special Session template is available here:
https://codit2020.com/Template_Special_Session_CODIT20.docx
Publication:
Registered and Presented papers will be published by IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Proceedings of all past editions of CoDIT are published through IEEE and indexed in: DBLP, Conference Proceedings Citation Index | Thomson Reuters, SCOPUS, Ei Compendex and IEEE.
Refereed papers from the CoDIT’20 conference will be planned for publication in special issues (journals with impact factor).
Selections of CoDIT’20 papers will be recommended for publication in journals with impact factor.