The International Conference on Cybertechnology and Future Networks (ICCFN)
ICCFN brings people together in person to explore cybertechnology and the future of connected networks.
The International Conference on Cybertechnology and Future Networks (ICCFN) is an in-person event focused on cybertechnology and the future of networks.
https://cybertech.niu.edu/iccfn/
ICCFN is an outstanding opportunity to showcase research, products, and applications to an enthusiastic and engaged audience. It provides an ideal platform to reach hundreds of key decision-makers involved in cyber technology, business technology, innovation & entrepreneurship, and future networks. ICCFN is co-hosted with one of the premier European research forums, EUDAT.
ICCFN will invite thought leadership and discuss IoT advancements, Future 6G, the transformation of industries, smart cities, business, and cyber technologies. It will also discuss how these key technological advancements will change the future of economies worldwide.
ICCFN will have the privilege of hosting excellent researchers from around the world, representing magnificent top Universities, who are presenting research and development studies. Their work will help to pave the way for the next generation of technologies. ICCFN will also invite global professional services companies, including Ericsson, HUAWEI, Vodafone, Orange, LOIC, CybTechno, CNY Hackathon, and Global 5G Evolution.
ICCFN Conference Proceedings will be published by Springer Nature Link through their CCIS book series, which is fully indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.
Authors of selected papers will be invited to submit extended article versions to some special issues in the following Springer journals: Discover IoT, Cluster Computing, and Discover Computing.
01 6G and Future Network: Next-generation wireless architectures and Quantum technologies
02 Cybersecurity and Data Management
03 Federated Resource Management
04 Business and Innovation in Cybertechnology
05 AI/Machine Learning
06 Natural Language Processing
07 Multimedia, Computer Vision, and Image Processing
08 Mobile Systems and Distributed Computing
Good to know
Highlights
- 1 day 7 hours
- In person
Refund Policy
Location
Hybrid (in person and online)
Prague
110 00 Prague
How do you want to get there?

