For the regular technical program, without any restriction in scope, topics of interest include, but are not limited to:

Track1 Mobile computing, communications, 5G and beyond

Spectrum sensing, fusion, decision-making, and allocation
Signaling process, PHY/link layer protocols, and optimization
Resource optimization, network, and distributed network computing
Dynamic spectrum access, spectrum sharing, spectrum management
AI/ML for cognitive radio network
VNF/SDN (NFV, VIM, VNFs, service function chaining, network slicing, and Open Flow)
Quantum communications, and network computing resources
Quantum Computing in Disrupting the Moore's Law
Application of Quantum Computing in Cyber Security
Quantum Computing in Large Scale AI.
Sensor networks, mesh networks, MIMO, massive MIMO, mmWave, V2X, 5G and 6G
Edge computing, IoT connectivity, and energy harvesting
LEO (Low Earth Orbit) satellite/HAPS (High Altitude Platform System) Communication & its scale and applications
LEOS/HAPS communication integration with terrestrial mobile networks
LEOS/HAPS communication network reliability
Industrial IoT, e.g., manufacturing, logistics, and supply chain
Industry control network, networking theory, and algorithms
Wireless embedded sensor systems, body sensors, smart cities & security
Cognitive radio and Soft defined radio
Future generation communications and pervasive computing
Peer-to-peer network computing and overlaying networks
Directional antenna and networking
FDMA/OFDMA modulations, synchronization, and power optimization
Security & privacy, attacking models, confidentiality & security in communications
Services, middleware, and multimedia on wireless networks
QoS, reliability, performance, and communication theory
Wireless network simulations, implementation, and applications
Optical Networks and free space optical communications

Track2 IoT and applications

Embedded Computer and System and Sensors and Actuators
Software for IoT, Storage and Data Management for IoT and Computing for IoT
Smart Transportation, Connected Car, Automotive and Intelligent Transportation
Highway, Rail Systems and Emergency vehicle notification systems
Automatic road enforcement and Smart Traffic Light
Smart Collision Avoidance
Smart Tele-healthcare, Healthcare, e-Health, Assisted Living, Smart Telecardiolgy and Telenursing
Telerehabilitation and Teletrauma
Smart Agriculture and Environmental Monitoring
Smart Manufacturing
Utilities Management and Operation Logistics and Supply Chain Optimization
Production Flow Monitoring Health of Machinery
Industrial IoT
Smart Cities, Smart Home, Building Management and Operation Automation
Smart Grid and Energy Management
Connectivity for IoT
Software Defined Networks
Sensor Network and Massive IoT

Track3 Privacy, Security for Networks

Privacy enhancement, policy, access control, and regulation
Privacy with surveillance, big data, machine learning, and IoT
Privacy for healthcare, human-computer interaction, and other applications
Network security, cybersecurity risk assessment, malware analysis
Cryptography, cryptographic algorithm, post-quantum cryptography
Attacks, DDoS, ransomware, and cybersecurity attacks and detection
Cyber network, configuration, cloud, IoT, and wireless communications
Multistage attacks, data security, AI, and intrusion detection
Risk assessment, management, and network monitoring
Blockchain, cryptocurrency, smart contracts, identity management, and voting
Blockchain applications, e.g., smart grid, healthcare, industrial control systems
Cyber authentication and access control
Deep learning for attack behavior, prediction, and game theory
AI/ML and deep learning for security and privacy

Track4 Dedicated Technologies for Wireless Networks

AI/ML forIntegrated sensing and communication and Intelligent reflecting surfaces
AI/ML for link layer and MAC layer
AI/ML for mobility and network management
AI/ML formolecular networks
AI/ML foroptical networks
AI/ML for over-the-air computation
AI/ML forthe physical layer
AI/ML for resource management and network optimization
AI/ML for semantic communications
Wireless communications and networks to assist AI/ML servicesv
AI/ML for modulation and coding schemeoptimization
AI/ML for transceiver design, source coding, channel decoding,channel estimation and prediction
AI/ML for non-conventional communication channels (e.g., high-dimensional and molecular channels)
AI/ML for radio environment awareness and decision-making
AI/ML for massive connectivity and ultra-reliable and low latency communications (URLLC)
AI/ML for massive MIMO and large intelligent surfaces (LIS)
AI/ML for cell-free wireless systems
AI/MLfor vision-aided wireless communications, positioning, and location-based services
AI/ML for joint communication and control and semantic communications
AI/MLfor non-linear signal processing and physical layer security

Track5 Emerging Trends of AI/ML

Data sets for 5G/6G testbeds and trials
Distributed AI/ML for communication networks
Distributed multi-agent reinforcement learning aided wireless networks
Edge learning for wireless networks
Federated learning for wireless communications
Distributed intelligence in wireless communications
Standardization of AI/ML in network architectures.
AI/ML in network planning and 5G and beyond use case
AI/ML in Network Diagnostics
AI/ML in Network characteristics forecasts
AI/ML techniques for security incident identification and forecast
AI/ML techniques for precise synthesizing and efficient mobile traffic forecast
AI/ML–aided forecasting techniques for QoS improvement, and QoE inference
AI/ML techniques for multi-tenant environments service level agreement forecast
AI/ML techniques for Complex event recognition and forecasting
AI/ML techniques for Network Optimization and Control
AI/ML techniques for Transport and FH/BH networks
AI/ML techniques for E2E slicing
AI/ML techniques for E2E service assurance
AI/ML techniques for Resource reservation
AI/ML techniques for Resource allocation (jointly through slice-based demand prediction)
AI/ML techniques for autonomous slice management -slice isolation, and slice Optimization
AI/ML solutions for control and orchestration
AI/ML techniques for cross-layer optimization framework
AI/ML solutions for anomaly detection, and management analytics
AI/ML- aaS in network management and orchestration
AI/ML solutions for Management of traffic, Dynamic load balancing, Efficient per-flow scheduling, MEC, and NFV orchestrators, Resource allocation for service function chaining, and Dynamic resource sharing in NFV infrastructure.
AI for computer vision and image processing
NLP, image, vision learning, and deep learning
Texture image representation and classification
Image filtering and enhancement
Image segmentation
Object detection and recognition
Tracking and motion analysis
Image synthesis, 3D reconstruction and modeling
Stereo vision and depth estimation
Face recognition and biometrics
Scene understanding and semantic segmentation
Image and video compression
Image and video restoration and super-resolution
Optical character recognition
Medical image analysis and processing
Document analysis and recognition
Video analysis and summarization
Augmented reality and virtual reality
Color, multispectral, and hyperspectral imaging
Medical image computing
Sensing, representation, modeling, and registration
Stereoscopic, multiview, and 3D processing
Biometrics, forensics, and security