Important Dates

Paper Submission Deadline:
April 5, 2022
April 10, 2022 (Final Call!)
Notification of Acceptance:
April 20, 2022
Camera Ready Version Due:
April 25, 2022
Registration Deadline:
April 25, 2022

Conference Dates:
May 12-14, 2022

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Welcome Message

2022 8th International Conference on Computer Technology Applications (ICCTA 2022, former ICCIT) will be held during May 12-14, 2022 in Vienna, Austria, with its workshop ECCS 2022. In 2017-2020, ICCTA had been held in Turkey. Since 2021, ICCTA has been held in Austria, organized by FH JOANNEUM University of Applied Sciences.
ICCTA is the premier for the presentation and exchange of past experiences and new advances and research results in the field of computer technology applications. The conference welcomes contributions that promote the exchange of ideas and rational discourse between academicians, researchers, and industries all over the world. Please submit your contribution and take a part in, to make ICCTA a successful event. You can be encouraged by the fact that the best presentation award will be granted

Dear participants, see you in Vienna!

Conference Committee ICCTA 2022

 

Call for Papers

Submitted papers will be peer-reviewed and evaluated based on originality, technical depth, research novelty, correctness, relevance to the conference, and readability.

The accepted papers will be included into ICCTA 2022 Conference Proceedings, which will be published in the ACM International Conference Proceedings Series, archived in Online Digital Library, indexed by Scopus & EI Compendex, and submitted for Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

The ISBN number assigned to ICCTA 2022 is 978-1-4503-9622-6

Venue / Date

Vienna, Austria | Hybrid Conference
Conference Dates: May 12-14, 2022

 

Authors are invited to submit papers describing original research works in areas including but not limited to:


Track 1: Software Engineering
Track 2: Computer Applications
Track 3: Computational Intelligence and AI techniques
Track 4: Smart Production