2026 International Conference on Communication, Sensing and Intelligent Computing (CSIC 2026) invites the submission of original research papers in Communication, Sensing and Intelligent Computing, covering theoretical, experimental, and applied perspectives, for publication in the conference proceedings. To ensure high standards and quality, each submission undergoes anonymous peer review by an average of three independent reviewers. Accepted papers will be presented as either oral presentations or posters at the conference. Topics of interest include (but are not limited to) the following areas:
Track 1: Advanced Communication and Network Technologies
6G Communications and Integrated Space-Air-Ground-Sea Networks
Millimeter-Wave, Terahertz and Optical Wave Communications
Visible Light Communication and Positioning
Quantum Communications and Secure Networks
Integrated Sensing and Communication: Waveform Design and Signal Processing
Communication Network Optimization for Visual-Centric Applications
Track 2: Intelligent Sensing and Imaging Systems
Computational Optical Imaging and Advanced Optoelectronic Sensing
3D Imaging, Holographic Displays and Near-Eye Vision
Multi/Hyperspectral Imaging and Processing
LiDAR, Millimeter-Wave Radar Imaging and Multi-Sensor Fusion
Multi-Modal Visual Data Fusion
Edge-Cloud Collaborative Architectures for Visual Computing
Distributed Intelligent Visual Sensor Networks
Track 3: Intelligent Computing and Cognitive Understanding
Deep Learning for Visual Processing and Understanding
Visual Object Detection, Tracking and Segmentation
Multi-Modal Large Models for Visual Content Generation
Physical AI: Visual Navigation in Embodied Intelligence
Federated Learning and Distributed Intelligence for Visual Networks
Visual Content Retrieval and Semantic Understanding
Track 4: Physical AI and Embodied Intelligent Systems
Physical AI: Integrating Communication, Sensing and Computing
Embodied Intelligence: Visual Navigation and Environmental Interaction
Industrial Embodied Intelligence: Robot Vision and Autonomous Manipulation
Urban Embodied Intelligence: Autonomous Swarm Coordination of Unmanned Systems
Medical Embodied Intelligence: Visual Guidance for Surgical Robotics
Augmented Vision and Immersive Interaction
Track 5: AI and Machine Learning Foundations for Future Networks
Machine Learning Theory and Algorithms for Network Optimization
Graph Neural Networks for Network Modeling and Analysis
Generative AI for Network Traffic Synthesis and Security
Reinforcement Learning for Autonomous Network Control and Decision Making
Scalable and Efficient Distributed/Federated Learning Frameworks