ICCCN 2026 is Technically Co-Sponsored by the IEEE and IEEE Communication Society. The paper submission site will be opened in December 2025.

ICCCN is one of the leading international conferences for presenting novel ideas and fundamental advances in the fields of computer communications and networks. ICCCN serves to foster communication among researchers and practitioners with a common interest in improving computer communications and networking through scientific and technological innovation.

Scope:

The primary focus of the ICCCN 2026 conference is on new and original research results in the areas of design, implementation, and applications of computer communications and networks. ICCCN 2026 covers the following technical Tracks (the detailed Track scope and descriptions are posted at http://www.icccn.org/icccn26/committeesandtracks/technical-tracks/index.html):

Track 1: Infrastructure Networking Technologies

    Dimitrios Pezaros, University of Glasgow, UK
    Ananthram Swami, DEVCOM Army Research Laboratory
    Feng Wang, Arizona State University

Track 2: Network Architecture, Algorithm, Protocol, and Evaluation

    Berk Canberk, Edinburgh Napier University, United Kingdom
    Kanchana Thilakarathna, University of Sydney
    Murat Yuksel, University of Central Florida

Track 3: IoT and Cyber-Physical Systems

    Fatemeh Afghah, Clemson University, USA
    Chiu Tan, Temple University
    Lei Xie, Nanjing University, China

Track 4: Edge and Cloud Computing

    Oliver Bringmann, Eberhard Karls Universität Tübingen, Germany
    Virginia Pilloni, University of Cagliari, Italy
    Yifan Zhang, Binghamton University

Track 5: Mobile/Pervasive Communications, Networking and Sensing

    Oliver Bringmann, Eberhard Karls Universität Tübingen, Germany
    Virginia Pilloni, University of Cagliari, Italy
    Yifan Zhang, Binghamton University 

Track 6: Social Networks, Extended Reality, and Metaverse

    Bin Li, Penn State University, USA
    Yao Liu, Rutgers University
    Muhammad Shahzad, North Carolina State University 

Track 7: AI/ML for Networks & Networks for AI/ML

    Ahmed Alkhateeb, Arizona State University
    Longfei Shangguan, University of Pittsburgh
    Cheng Zhang, Texas A&M University
    Yanfu Zhang, William & Mary

Track 8: Security, Privacy, and Trust

    Xinwen Fu, University of Massachusetts at Lowell
    Isabel Wagner, University of Basel, Switzerland
    Shucheng Yu, Yeshiva University, USA
    Chuan Yue, Colorado School of Mines 

Track 9: Emerging Topics in Networking (e.g., Quantum Networking, Distributed Quantum Computing, Distributed Machine Learning)

    Trung Q. Duong, Memorial University, Canada
    Nirmalaya Roy, UMBC, USA
    Jindi Wu, DePaul University, USA