Description
This track focuses on the intelligent design, analysis, and optimization of communication infrastructures and distributed systems that form the backbone of modern Cyber-Physical Systems (CPS). Computational intelligence techniques are increasingly employed to enhance network performance, resource allocation, reliability, scalability, and real-time decision-making across interconnected physical and cyber environments. The track welcomes contributions addressing intelligent communication frameworks, adaptive networking, and system-level architectures that enable efficient and resilient CPS deployment.

Topics of Interest

• Intelligent communication systems for CPS
• Wireless sensor and actuator networks
• 5G/6G-enabled CPS applications
• Vehicular and intelligent transportation networks
• Industrial communication systems and Industry 4.0
• Software-defined networking (SDN) and network virtualization
• Network optimization using AI and machine learning
• Edge, fog, and cloud-enabled communication architectures
• Real-time and time-sensitive networking
• Resource allocation and quality-of-service management
• Distributed and decentralized CPS architectures
• Network reliability, resilience, and fault tolerance
• Digital twins for communication systems
• Intelligent network monitoring and anomaly detection
• Green and sustainable communication infrastructures

Description
This track addresses computational intelligence methodologies for acquiring, integrating, and interpreting heterogeneous sensory information within Cyber-Physical Systems. Modern CPS rely on multiple sensing modalities to perceive and understand dynamic physical environments. The track emphasizes sensor integration, fusion algorithms, uncertainty management, and context-aware intelligence that transform raw sensory data into actionable insights for autonomous and intelligent systems.

Topics of Interest

• Multisensor data fusion techniques
• Sensor calibration and synchronization
• Heterogeneous sensor integration
• Information fusion under uncertainty
• Probabilistic and Bayesian fusion methods
• Deep learning for sensor fusion
• Edge AI for sensor processing
• Context-aware sensing and perception
• Smart sensing for industrial CPS
• Environmental and infrastructure monitoring
• Wearable and healthcare sensing systems
• IoT sensor integration frameworks
• Event-driven sensing systems
• Real-time sensor analytics
• Sensor fault diagnosis and self-healing systems
• Distributed sensor intelligence
• Human-centered sensing and interaction

Description
This track focuses on computational intelligence techniques that enable Cyber-Physical Systems to perceive, understand, and interact with the physical world through visual information. Research contributions addressing machine vision, visual analytics, scene understanding, and intelligent visual perception for autonomous and real- time CPS applications are encouraged. The emphasis is on transforming visual data into actionable intelligence for monitoring, control, and decision-making.

Topics of Interest

• Machine vision and intelligent image analysis
• Deep learning for computer vision
• Visual perception in autonomous systems
• Object detection, tracking, and recognition
• Scene understanding and semantic segmentation
• Video analytics and event detection
• Intelligent surveillance and monitoring
• Vision-based industrial automation
• Medical image analysis and diagnostics
• Visual inspection and quality control
• Vision for smart cities and transportation
• Remote sensing and aerial image analysis
• 3D vision and reconstruction
• Visual SLAM and localization
• Explainable AI for vision systems
• Edge vision and embedded vision applications
• Vision-enabled digital twins

Description
This track explores computational intelligence approaches for speech, language, and multimodal interaction in Cyber-Physical Systems. Intelligent CPS increasingly require natural
communication capabilities that enable seamless interaction between humans and machines. The track welcomes contributions in speech technologies, natural language processing, large language models, multilingual intelligence, and conversational systems that support adaptive, context-aware, and human-centric CPS

Topics of Interest

• Automatic speech recognition
• Speech synthesis and generation
• Spoken dialogue systems
• Natural language processing for CPS
• Large language models and generative AI
• Multilingual and low-resource language technologies
• Conversational AI and intelligent assistants
• Human-machine communication systems
• Sentiment and emotion recognition
• Speech analytics and understanding
• Multimodal language and speech processing
• Explainable and trustworthy language models
• AI for assistive communication technologies
• Language technologies for smart environments
• Knowledge representation and reasoning
• Edge AI for speech and language applications
• Context-aware conversational systems

Description
This track focuses on intelligent robotic systems and autonomous decision-making technologies that bridge the cyber and physical worlds. Computational intelligence plays a critical role in enabling robots and automated systems to perceive, learn, adapt, and act in complex environments. The track invites research on autonomous systems, intelligent control, collaborative robotics, and smart automation solutions that advance next-generation Cyber- Physical Systems.

Topics of Interest

• Autonomous robotic systems
• Intelligent control and optimization
• Robot learning and reinforcement learning
• Human-robot collaboration
• Multi-agent and swarm robotics
• Industrial robotics and smart manufacturing
• Autonomous vehicles and drones
• Robotic perception and cognition
• Motion planning and navigation
• Intelligent process automation
• Adaptive and self-learning systems
• Robotics for healthcare and rehabilitation
• Service and assistive robots
• Digital twins for robotic systems
• AI-enabled industrial automation
• Cyber-physical production systems
• Robotic systems for smart agriculture and infrastructure

Description
This track addresses the security, privacy, trust, and resilience challenges of intelligent Cyber-Physical Systems. As CPS increasingly integrate artificial intelligence, distributed computing, and large-scale sensing infrastructures, ensuring secure and trustworthy operation becomes critical. The track focuses on computational intelligence approaches for threat detection, risk assessment, privacy preservation, secure communications, and resilient CPS architectures.

Topics of Interest

• Cybersecurity for CPS
• AI-driven threat detection and response
• Intelligent intrusion detection systems
• Privacy-preserving machine learning
• Federated and distributed learning security
• Secure communication protocols
• Blockchain and distributed trust mechanisms
• Adversarial machine learning
• Security of autonomous systems and robotics
• IoT and sensor network security
• Cloud, edge, and fog security
• Identity and access management
• Cyber threat intelligence and analytics
• Secure digital twin architectures
• Trustworthy and explainable AI
• Risk assessment and resilience engineering
• Critical infrastructure protection
• Data privacy, governance, and compliance