The Future Technologies Conference presents the best of current systems research and practice, emphasizing innovation and quantified experience. FTC has emerged as a renowned world-wide gathering of academic researchers, Ph.D. and graduate students, leading research institutions and industry technology developers.
Join us for FTC 2025, the world's pre-eminent forum for reporting research breakthroughs in Artificial Intelligence, Computer Vision, Data Science, Computing, Ambient Intelligence and related fields. Click here for conference topics.
Previous conferences successfully brought together technology geniuses in one venue to present and share their unique research methodologies and outcomes providing solutions to various gruesome and complicated problems of modern day living. It also aided in an intra- and inter-field exchange of ideas.
Authors are encouraged to submit their papers according to the schedule outlined below:
Papers may be submitted either electronically through the online system or via email to [email protected]. Authors submitting via email are requested to include a cover letter containing author details, university/country affiliation, and any other pertinent information.
Submissions will undergo double-blind peer review. To ensure anonymity, please omit all author-identifying information from your manuscript, including names, affiliations, and any funding or other acknowledgments. Citations and mentions of closely related prior work should also be anonymized.
All submitted papers will be reviewed by a minimum of three regular program committee members or two senior program committee members. Acceptance decisions will be based on assessments of novelty, technical depth, elegance, impact (both practical and theoretical), and presentation quality.
FTC 2025 proceedings will be published in Springer series "Lecture Notes in Networks and Systems" and submitted for consideration to Web of Science, SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH and SCImago
Technology Trends
Artificial Intelligence
Computer Vision
Data Science
Computing
Ambient Intelligence
Security
e-Learning