Topics
The papers are invited for the following tracks
Track 1: 5G and beyond Wireless Networks
✦ 5G and Beyond Wireless and 6G Technologies
✦ Flexible, Programmable RAN, Cloud-RAN, and Functional Split
✦ 5G and Beyond ultra Large Cell and Small Technologies
✦ Heterogeneous Cells and Communications
✦ Network Slicing and Multi-service Architectures
✦ Cloud-based 5G and Beyond Mobile Architectures
✦ 5G and Beyond Network Function Virtualization (NFV)
✦ Software Defined Networking (SDN) for 5G and beyond
✦ Spectrum Utilization and Sharing, Cognitive Spectrum Access
✦ Multicast/Broadcast in 5G and Beyond
✦ Convergence of RAN and Core Network
✦ Novel Mobility Management and Mobile Edge Computing (MEC)
✦ Multi-Connectivity/RAT
✦ Resource (network, relay, cloud-computing, etc.) Management Techniques in 5G and Beyond
✦ Coordinated and Small-scale Cell Communications
✦ Device-to-Device Communications and Networking
✦ X-haul Transport Network, Self-backhaul/Integrated Access Networks
✦ Energy-efficient Network Design and Protocols for 5G and Beyond
✦ QoE/QoS Management over 5G and Beyond
✦ Dynamic QoS Framework as an Enabler for Disruptive Use Cases and Services
✦ Network and Protocol Interoperability in 5G and beyond Wireless Networks
✦ Millimeter-wave Communications, Massive MIMO Communications and Dynamic Beamforming Techniques
✦ Machine Learning and Adaptive Techniques for 5G and beyond
✦ Ultra-reliability and Low-latency in 5G and Beyond
✦ 5G and Beyond and AI
✦ LEO and Satellite Technologies for beyond 5G
✦ Free Space Optical
Track 2: Internet of Things
✦ IoT and edge computing for sustainable applications
✦ Virtual reality in the management of IoTs and environmental processes
✦ Control, Robotic, Network, and System Sciences and Technologies
✦ 6G and IoT
✦ Electronic Design Automation for IoT Devices
✦ Circuits and Systems for IoT
✦ Reliability, trustworthy, Cybersecurity, and security.
✦ Signal Processing for IoT
✦ Powering IoT devices with ambient energy
✦ Energy harvesting in synergised open RAN and IoT systems
✦ Energy harvesting in RIS-assisted IoT systems
✦ Energy management policies for IoT systems
✦ IoT technologies for energy monitoring, efficiency, harvesting, etc.
✦ Energy-neutral IoT systems Energy harvesting in mobile IoT systems
✦ Electron Devices Technology and Intelligent Sensors
✦ Critical IoT for Industrial Applications
✦ Novel wireless and RFID sensors for IoT
✦ Intelligent Power and Energy Systems
✦ Digital twin, and IoT Applications
✦ AI/Machine Learning Technologies
✦ Machine Learning-Driven Network Optimization in 6G Smart City IoT Systems
✦ Real-Time Decision-Making in Urban Environments with 6G IoT and Reinforcement Learning
✦ AI-Driven Resource Allocation and Management in 6G Smart City IoT Networks
✦ Low-Latency Communication Strategies for Autonomous Vehicles in 6G Urban IoT
✦ Managing High-Dimensional Smart City IoT Data Streams for 6G Networks Using ML
✦ Future Directions in 6G Smart City IoT
✦ Intelligent Signal Processing in 6G Smart City IoT Using Machine Learning
✦ AI-Based Predictive Analytics for Smart City IoT Networks in 6G
✦ IoT-Driven Innovations in Power Electronics and Energy Systems
✦ IoT systems (hardware/software) for health research
✦ Context-aware health monitoring using pervasive IoT
✦ IoT-based telehealth and home monitoring systems
✦ IoT-based Active and Healthy Ageing technologies
✦ Algorithms/methods for gathering clinically relevant knowledg from IoT devices
✦ Security, privacy, and trust in IoT for health applications
✦ Clinical trials and pilot studies involving IoT
✦ IoT for agricultural applications
Track 3: Network Slicing
✦ Architectural design of network slicing for industrial verticals
✦ End-to-end network slicing;
✦ Energy efficiency of sliced networks
✦ Machine learning and artificial intelligence for network slicing
✦ Network slicing framework for the integration of terrestrial and non-terrestrial networks;
✦ Network slicing with heterogeneous radio access technologies
✦ New business models in network slicing
✦ Privacy and security in network slicing
✦ Resource provisioning, orchestration, and management for network slicing;
✦ Service-level agreement design for sliced networks
✦ Sliced network operation and management
✦ SDN/CNF/NFV in recent and novel architecture paradigms
✦ Technologies of software-defined networks and network function virtualization
✦ Virtualization Technologies for Edge/Fog Computing
✦ Emerging improvements, including Network Slicing and the unikernel paradigm
✦ NFV, CNF, and SDN Operations
✦ Protocols for virtual network orchestration
✦ Application of machine learning and big data analytics to manage to simplify deployment and operation of SDN/CNF/NFV networks
✦ SDN/NFV orchestration and operations in 6G network and cloud continuum
✦ Improvements in the design of forwarding elements, e.g., switches/routers, wireless systems
✦ Dynamic license management, autonomics, machine learning, monitoring, resiliency, fault management, and self-healing
✦ Network security and isolation impacts of virtualization technologies
✦ Optimizing virtualized infrastructures, including hardware acceleration technologies
✦ Heterogeneous server platforms and the detailed element-level CPU/GPU/FPGA mapping of network functions
✦ Microservice-based and agent-based SDN/NFV
✦ SDN/NFV in 6G three-dimensional networking
✦ Advanced tools for automated design, deployment, validation, and management
Track 4: Cyber Security
✦ Digital currency, blockchains, and cybercrime
✦ Law, investigation, internet jurisdiction, and ethics
✦ Child safety in cyberspace
✦ Cybersecurity and cyber resilience
✦ Cyber insurance and Digital privacy
✦ Critical infrastructure security
✦ Embedded systems security
✦ Business continuity and disaster recovery
✦ Information security governance
✦ Security management and Cyber forensics
✦ Surveillance, interception, blocking, and sovereignty
✦ Software development security
✦ Cyber-physical systems security
✦ Adversarial machine learning
✦ Trust management and Cyber warfare
✦ Network security and Cloud security
✦ Internet of Things Security
✦ Big data and cybersecurity
✦ Healthcare information security
Track 5: Computer Vision and Pattern Recognition
✦ Video: Action and event understanding
✦ Video: Low-level analysis, motion, and tracking
✦ Vision + graphics
✦ Vision, language, and reasoning
✦ Vision applications and systems
✦ Autonomous driving
✦ Biometrics
✦ Computational imaging
✦ Computer vision for social good and Computer vision theory
✦ 3D from multi-view and sensors
✦ 3D from single images
✦ Low-level vision
✦ Adversarial attack and defense
✦ Datasets and evaluation
✦ Deep learning architectures and techniques
✦ Document analysis and understanding
✦ Efficient and scalable vision
✦ Explainable computer vision
✦ Embodied vision: Active agents, simulation
✦ Humans: Face, body, pose, gesture, movement
✦ Image and video synthesis and generation
✦ Machine learning (other than deep learning)
✦ Medical and biological vision, cell microscopy
✦ Multimodal learning and Optimization methods (other than deep learning)
✦ Photogrammetry and remote sensing
✦ Physics-based vision and shape-from-X
✦ Recognition: Categorization, detection, retrieval
✦ Representation learning
✦ Robotics
✦ Scene analysis and understanding
✦ Segmentation, grouping, and shape analysis
✦ Transparency, fairness, accountability, privacy, and ethics in vision
Track 6: Quantum Communications
✦ Quantum Signal Processing and Quantum Coding
✦ Quantum State Engineering for Sensing and Communications
✦ Quantum State/Process/Measurement Tomography
✦ Satellite-based Quantum Networking Strategies
✦ Quantum Device Innovations and Certifications for Quantum Networks
✦ Design, Analysis, and Applications of Quantum Networks
✦ Quantum Error Correction Techniques
✦ Quantum Computing for Communication and Networking
✦ Quantum Cryptographic Protocols, Post-Quantum Security Solutions, and Privacy-Preserving
✦ Machine Intelligence and Quantum Network Optimization
Track 7: Artificial Intelligence Use Cases
✦ Healthcare and life science
✦ Transportation/aerospace
✦ Engineering and manufacturing
✦ Sustainability
✦ Business intelligence
✦ Human-centered AI
✦ Robotics and uav
✦ Computer vision
✦ Security and safety
✦ AI infrastructure
✦ AI in Testing and automation
✦ AI in agriculture and mining
Track 8: Disruptive Technologies for Manufacturing
✦ Virtualization techniques (Metaverse and Digital Twin) for Industrial Networks
✦ Heterogeneous OpenRAN for Industrial networks
✦ Security and Privacy for Industrial Networks
✦ Secure Federation and Orchestration of Edge Devices for Industrial Networks
✦ Sustainable and Resilient Zero Touch Networks for Industrial Networks
✦ AI/ML/DL/FL/TL for Sustainable and Resilient Industrial Networks
✦ Congestion control techniques in improving user experience in IoT, Cloud & Edge for Industrial Networks
✦ MEC framework for Industrial Networks
✦ Network management using Network Slicing, SDN, and NFV for Industrial Networks
✦ Computation offloading with advanced AI frameworks for Industrial Networks
✦ Open standards for interoperability for Industrial Networks
✦ Interoperability, heterogeneity, and bandwidth in congested networks