With ICFITs held successfully in Paris, Nice, Lyon, and virtual mode for the past seven years. 2025 13th International Conference on Frontiers of Intelligent Technology (ICFIT 2025) will be held in Macau, China, during March 21-23, 2025.
ICFIT is proud to host a global gathering of theorists and experts in advanced characterization techniques in the field of intelligent technology, which brings researchers, practitioners, and scientists in discussion of the latest methods, research developments, and future opportunities.
Note: Virtual participation remains an option for authors who are not convenient to travel with reduced registration fee.
2025 13th International Conference on Frontiers of Intelligent Technology (ICFIT 2025) is postponed to March 21-23, 2025.
Call for Papers
Papers submitted to ICFIT 2025 should be original and not considered for publication elsewhere. Submissions will be peer reviewed by conference committees, and accepted papers will be published in Conference Proceedings, which will be submitted for indexing by EI Compendex,Scopus and other major databases.
Authors are encouraged to submit your extended papers to
Journal of Advances in Information Technology for review ,and accepted papers will be published in regular issues which will be indexed by
ESCI(Web of Science), Scopus, EBSCO, Google Scholar, CNKI, etc.
Submission Deadline:
November 30, 2024
Acceptance Notification: December 25, 2024
Camera-ready Paper Submission: January 10, 2025
Registration Deadline: January 10, 2025
Conference Date: March 21-23, 2025
We're recruiting new members to join the committee to help peer review the papers submitted to ICFIT 2024.
Interested applicants are welcome to submit your curriculum vitae to us by icfit@etpub.com. Technical program committee members can get discount on registration fee for the conference.
Distinguished professors from both academic and industry in related fields were invited to the conference and give speeches.
Key Information Systems Management Tasks
Towards Practical Open-RAN Physical-Layer Designs with Massively Parallel Non-Linear Processing: Gains, Challenges and Solutions
Massive Ultra-Reliable Connectivity in 6G
Prof. Arumugam Nallanathan (FIEEE, FIET) Queen Mary University of London, UK