The International Conference on Intelligent Computing and Next Generation Networks will bring together leading academic scientists, researchers and Scholars in the domain of interest from around the world. Submitted paper will be peer reviewed by conference committees, and accepted papers will be included into ICNGN Conference Proceedings which will be published and submitted to online database. Those papers will be submitted for indexing to EI-Compendex and Scopus. 

Topics of Interest for submission include, but are not limited to:

    T1: Cognitive radio network
    Artificial Intelligence-enabled communications
    Data center network architectures and performance
    Future Internet and next-generation networking architectures
    Energy-efficient green communications
    Heterogeneous multi-layer and multi-domain wireless-wireline internetworking
    High speed and parallel processing architectures for next generation routers and switches
    Intent-based network control and management
    Small cell networks
    Cognitive radio network
    Network Functions Virtualization (NFV)
    Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC)
    Mobile security: device, application, and data
    Networked flying vehicles such as UAVs and drones
    Next-generation access networks
    Next-generation anomaly, intrusion, and attack detection/prevention
    Next-generation flow management: resource sharing, congestion control
    Next-generation Internet applications and service
    Next-generation networking protocols
    Next-generation network management and control
    Open communities, open API, open source
    Operational and research issues with IPv6
    Overlay and peer-to-peer (P2P) networking
    Quality of Service (QoS) and Quality of Experience (QoE) in next-generation networks
    Resource orchestration in next-generation networks
    Future network platforms, software and services
    Network theory and network science

    T2: Computing methodologies for machine intelligence
    New computing theories, architectures, and models
    New computing devices, hardware, and software
    New computing paradigms, such as quantum computing, photonic computing, bio-computing, bio- inspired computing, and brain-like computing
    New computing systems, such as intelligent supercomputing, heterogeneous computing clusters, domain-specific computing, and wide-area collaborative computing
    Computation-driven machine intelligence, cognitive computing, collaborative human-computer computing, and swarm intelligence

    T3: Computational technology achieved through AI-based methodologies
    Collaboration and reconfiguration of computational hardware and software
    Intelligent understanding and decomposition of computing tasks
    Intelligent scheduling and adaptation of computing resources
    Trusted computing and privacy computing
    Ubiquitous computing and transparent

    T4: Scientific findings achieved through machine intelligence, data, and computing methodologies
    Intelligent computational materials science
    Intelligent computational biology
    Intelligent computational astronomy
    Intelligent computational pharmacy
    Intelligent computational social science