ICNGN 2024 - The 3rd International Conference on Intelligent Computing and Next Generation Networks

T1: Next Generation Networks
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: Next Generation Communications System
Network Convergence Issue, Architecture, Applications and 4G Wireless Technologies
Long Term Evaluation (LTE)
Performance Evaluation of NGN Networks
Experimental and Simulated Testbeds
Mobility Across Networks
Vehicular Communications
P2P Architectures for NGN
Universal Mobile Telecommunications System (UMTS)
T3: 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
T4: 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
T5: 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
T6: Computing Technologies for Signal Processing
Theory and Methods for Signal Processing
Novel Applications of Signal Processing
Signal Processing for Communication and Networking
Mixed Signal Processing
Multidimensional signal processing
Multimedia Signal Processing