Track 1: Digital Economy and Intelligent Information Systems

• Intelligent computing architectures for digital economy platforms

• AI-driven digital transformation of industrial and enterprise systems

• Blockchain-based distributed systems for digital economy applications

• Intelligent supply chain systems and optimization algorithms

• Big data analytics, modeling, and prediction for digital economy

• Cloud-edge collaborative computing for large-scale economic systems

• Internet of Things (IoT) systems and intelligent perception technologies

• Deep learning models and applications in digital economy scenarios

• Reinforcement learning methods for economic system modeling and forecasting

• Digital finance systems and FinTech technologies

• Network security, data protection, and privacy-preserving computing

• AI-based intelligent systems for healthcare information management

Track 2: Intelligent Computing and Artificial Intelligence Technologies

• Intelligent data analysis and computational intelligence

• Artificial intelligence control and intelligent decision systems

• Sensor networks and networked intelligent control systems

• Intelligent automation and industrial intelligence

• Process automation and cyber-physical systems

• Fuzzy systems and neural network models

• Intelligent sensing and sensor fusion systems

• AI algorithms and optimization techniques

• Artificial intelligence tools and engineering applications

• Natural language processing and intelligent information systems

• Computer vision, speech recognition, and multimodal perception

• Data mining and machine learning algorithms

Track 3: Intelligent Financial Computing and Data-Driven Finance

• AI-driven intelligent financial information systems

• Big data analytics and intelligent risk management systems

• Computational models for inclusive digital finance

• Intelligent supply chain finance systems and platforms

• AI-based credit scoring and financial prediction models

• Secure and privacy-preserving financial computing

• Financial data mining and intelligent decision support systems

Track 4: Embodied Intelligence and Spatial Computing Systems

• Intelligent interaction and perception systems for IoT devices

• Context-aware computing and human-computer interaction

• Embodied intelligence systems and bionic robotics

• Spatial perception and sensing in wearable and mobile systems

• Affective computing and embodied intelligence models

• Virtual and augmented reality systems for intelligent healthcare

• Cooperative robotic systems and spatial computing architectures

• Spatial data management and mobile intelligent computing

• Intelligent navigation and perception systems for UAVs

• 3D modeling, simulation, and spatial computing technologies

Track 5: Trustworthy AI Systems and Secure Intelligent Computing

• Explainable and interpretable AI models and systems

• Model risk management for automated and intelligent systems

• Security verification and validation of embedded AI systems

• Privacy-preserving machine learning and secure AI computing

• Bias detection, mitigation, and robustness in AI models

• Traceability and accountability mechanisms for intelligent systems

• Continuous learning and adaptive security of AI systems

• Trust management frameworks and secure AI architectures

• Risk-aware AI system design and configuration