Paper Submission
Deadline:
February 5, 2025
Notification of
Acceptance:
March 1, 2025
Registration Deadline:
March 15, 2025
Conference Dates:
May 21-23, 2025
- 2025 11th International Conference on Computer Technology Applications (ICCTA 2025) will be held during May 21-23, 2025 in Vienna, Austria, sponsored by FH JOANNEUM University of Applied Sciences, Austria.
- 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. View ICCTA History
Dear participants, see you in
Vienna! Welcome to this imperial history city!
- Click Here to Download ICCTA 2024 Photos
You are invited to submit manuscript to ICCTA 2025 Conference proceedings. Submitted paper will be peer reviewed by conference committees.
IEEE Conference Proceedings - Accepted papers will be included in Conference Proceedings, which will be archived in IEEE Xplore , and indexed by EI Compendex, Scopus, and other indexing services.. - Check IEEE Conference List-
▌Recommendation: Selected papers to Jousrnal of Advances in Information Technology after at least 30% extension.
Indexing: ESCI (Web of Science, Impact Factor 2022: 1.0),Scopus (CiteScore 2022: 3.1), CNKI, etc.
Call-for-papers Flyer Download
LaTex Template Download (Prefered) | Word Template Download
Papers for publication must be submitted as a full paper electronically via the following link.
https://cmt3.research.microsoft.com/ICCTA2025
Vienna, Austria
| City Attraction
Conference Dates: May 21-23, 2025
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