ICCSCT 2026 welcomes original research contributions in computer systems, communication technologies and related intelligent applications. Submissions may address theoretical foundations, algorithms, system design, experimental evaluation or practical implementation.

Topics of interest include, but are not limited to:

1. Artificial Intelligence and Intelligent Systems

  • Machine learning, pattern recognition and adaptive systems
  • Deep learning, foundation models and generative AI
  • Large language models, knowledge representation and reasoning
  • AI agents, multi-agent systems and intelligent search
  • Reinforcement learning, intelligent control and autonomous systems
  • Evolutionary computation, fuzzy systems and hybrid intelligence
  • Multimodal learning and information fusion
  • Information retrieval, recommendation and intelligent decision support
  • Embodied intelligence and intelligent robotics
  • Explainable, trustworthy and robust AI
  • Efficient learning, model compression and adaptation

2. Image Processing, Computer Vision and Imaging

  • Image and video enhancement, restoration and reconstruction
  • Computational imaging and learning-based image formation
  • Visual processing under low-light, noisy, blurred and adverse-weather conditions
  • Object detection, recognition, segmentation and tracking
  • Image and video quality assessment, including perceptual and task-oriented evaluation
  • Relationships between image enhancement, visual quality and recognition performance
  • Multimodal imaging, sensor fusion and vision-language models
  • Deep learning and foundation models for image and video analysis
  • Image and video generation, authenticity assessment and synthetic content detection
  • Color, multispectral and hyperspectral imaging
  • Stereo vision, multi-view imaging and 3D reconstruction
  • Document image analysis and understanding
  • Visual computing for augmented and virtual reality
  • Imaging applications in industrial inspection, autonomous systems, remote sensing and healthcare

3. Big Data, Data Engineering and Analytics

  • Large-scale data management, storage and processing
  • Data mining, knowledge discovery and predictive analytics
  • Streaming data analytics and real-time processing
  • Data integration, standardization and interoperability
  • Data quality, provenance and lifecycle management
  • Multimodal and heterogeneous data analytics
  • Data modelling, visualization and visual analytics
  • Scalable data platforms and distributed analytics
  • Privacy-preserving analytics and federated learning
  • Data engineering and evaluation for foundation models
  • Data-intensive applications in healthcare, industry, transportation, finance and environmental monitoring

4. Internet of Things and Edge Intelligence

  • IoT architectures, platforms and cyber-physical systems
  • Intelligent sensing, sensor networks and multisensor fusion
  • Edge AI and real-time IoT data processing
  • Cloud–edge–device collaboration and resource orchestration
  • Communication protocols and interoperability for connected devices
  • Energy-efficient sensing and low-power IoT systems
  • Security, privacy and trust in IoT environments
  • Distributed intelligence and autonomous decision-making for IoT
  • Digital twins for connected devices and physical systems
  • Industrial IoT, smart cities, connected healthcare and intelligent transportation

5. Computer Systems and Engineering

  • Computer architectures, VLSI design and hardware–software co-design
  • Embedded, mobile and real-time computing systems
  • High-performance, parallel and distributed computing
  • Cloud and edge computing architectures
  • AI accelerators and computing infrastructure
  • Distributed model training, inference serving and resource scheduling
  • Programming languages, software engineering and AI-assisted development
  • System modelling, simulation, testing and verification
  • Dependable systems, fault tolerance and system security
  • Energy-efficient and sustainable computing
  • Computing platforms and software systems for industrial and service applications

6. Communication Networks and Technologies

  • Wireless communications and mobile networking
  • Beyond-5G and 6G communication technologies
  • AI-native networks and intelligent network optimization
  • Integrated sensing and communication
  • Network architectures, protocols and performance evaluation
  • IoT communications and wireless sensor networking
  • Edge computing and communication resource coordination
  • Low-latency, reliable and energy-efficient communications
  • Image and video coding, compression and transmission
  • Multimedia delivery, quality of service and quality of experience
  • Network security, privacy-preserving communications and secure multimedia transmission
  • Information hiding, digital watermarking and multimedia authentication