Track 1: Signal Processing for Intelligent Communication Systems

Signal processing techniques for wireless and mobile communications

AI/ML-based signal processing for communication networks

Adaptive and statistical signal processing

Multimedia signal and image processing for communications

MIMO, OFDM, and advanced modulation techniques

Speech, audio, and video processing in communication systems

Signal detection, estimation, and channel modeling

Intelligent spectrum management and optimization

Semantic and cognitive communication techniques

Signal processing for 5G/6G communication systems

Track 2: Computing, AI & Cognitive Informatics for Communications

AI-driven communication and networking systems

Cognitive computing and computational intelligence

Explainable AI (XAI) for communication applications

Machine learning and deep learning for communications

Human–AI collaboration in intelligent systems

Data analytics and intelligent decision support systems

Brain-inspired and neuromorphic computing

Distributed and cloud computing for communication networks

Intelligent multimedia and information processing

Edge intelligence and federated learning for communications

Track 3: Intelligent Networks, IoT & Cyber-Physical Systems

Internet of Things (IoT) and smart connected systems

Edge–cloud communication architectures

Cyber-physical systems and intelligent infrastructure

Intelligent sensor networks and real-time analytics

Network security, privacy, and trust management

Autonomous and self-organizing communication systems

Predictive maintenance and monitoring systems

Smart cities and intelligent transportation systems

Resource management in distributed communication systems

AI-enabled resilient and fault-tolerant network systems