Topics

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  • 1. Data Science, Machine Learning, and Intelligent Computing

    Machine learning and deep learning algorithms

    Intelligent optimization and evolutionary computation

    Big data analytics and distributed computing architectures

    Data mining and knowledge discovery

    Explainable AI and model interpretability

    Reinforcement learning and multi-agent systems

    Time-series forecasting and anomaly detection

    Multimodal learning, computer vision, and graph learning

    Natural language processing, text mining, and information extraction

    Edge intelligence and real-time intelligent processing

  • 2. Data-Driven Decision Intelligence and System Optimization

    Intelligent decision support systems and architectures

    Multi-objective optimization and decision-making under uncertainty

    Human-AI collaboration and augmented decision intelligence

    Generative AI and large language models for decision intelligence

    Multi-agent decision systems and distributed decision frameworks

    Real-time decision-making and data stream processing

    Decision knowledge graphs and reasoning engines

    Verification, validation, and evaluation of intelligent decision systems

    Data-driven enterprise decision analytics and optimization for engineering management

    Network Science and Complex Systems Analytics

  • 3. Frontier AI and Trustworthy Intelligent Computing

    Generative AI and foundation model engineering

    Agentic AI and autonomous intelligent agents

    Trustworthy AI, robustness, and safety

    Federated learning and privacy-preserving computing

    Computer vision and intelligent perception systems

    Natural language processing and intelligent human-computer interaction

    AI as a service and cloud-native intelligence architectures

    Industrial AI and intelligent manufacturing systems

    Smart city and urban computing

    AI Model optimization, compression, and acceleration

  • 4. Cross-Disciplinary Engineering Applications of Data Science and AI

    Intelligent system design and engineering architectures

    Hybrid intelligent systems in engineering domains

    Data-knowledge fusion methods

    AIoT and edge intelligence systems

    Digital twins and intelligent simulation

    Autonomous systems and robotic intelligence

    Intelligent transportation systems and collaborative optimization

    Financial data analytics and intelligent risk control

    Intelligent supply chain planning and resource scheduling

    Digital project management and intelligent monitoring