6th International Conference on Communications, Networking and Machine Learning (CCNML 2026)

The 6th International Conference on Communications, Networking and Machine Learning (CCNML 2026) focuses on advanced communications, wireless networking, machine learning, cloud computing, intelligent systems, and secure data technologies for next-generation digital infrastructure and smart applications.

Key topics

• Wireless and mobile networking technologies
• Machine learning, deep learning, and neural networks
• Cognitive radio and software defined radio systems
• Big data analytics and intelligent data analysis
• Network security, intrusion detection, and data encryption
• Cloud computing and distributed computing platforms
• MIMO systems, adaptive antennas, and space-time communications
• Wireless sensor networks and mesh networking
• Signal processing for wireless communications
• Artificial intelligence and semantic web technologies
• Optical communication systems and multimedia networks
• Network architecture, protocols, and performance management
• Computer vision, image retrieval, and pattern recognition
• RFID technologies and emerging mobile applications
• Smart transportation systems and intelligent systems
• High performance computing and network virtualization
• Bayesian networks, statistical learning, and fuzzy systems
• QoS modeling, congestion control, and network reliability
• Data mining, intelligent search, and graphics analysis
• Mobile computing, IoT, and cooperative network systems

Who should attend

• Communication systems engineers and network architects
• Researchers in wireless networking and mobile computing
• Artificial intelligence and machine learning specialists
• Data scientists and big data analysts
• Cybersecurity and information security professionals
• Cloud computing and distributed systems developers
• Academics and students in computer science and telecommunications
• Signal processing and multimedia technology researchers
• IoT, sensor network, and smart systems professionals
• Software developers and intelligent systems engineers