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Conference Topics

Conference Topics 
The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to, the following：


Track 1: Artificial Intelligence and Intelligent Systems

  • Machine Learning and Deep Learning

  • Generative Artificial Intelligence

  • Large Language Models (LLMs)

  • Foundation Models and Multimodal AI

  • Reinforcement Learning and Autonomous Agents

  • Knowledge Representation and Reasoning

  • Explainable and Interpretable AI

  • Human-Centered and Responsible AI

  • Cognitive Computing and Intelligent Decision Systems


Track 2: Data Engineering and Data Science

  • Big Data Management and Analytics

  • Data Architecture and Data Infrastructure

  • Data Integration and Interoperability

  • Cloud-Native Data Systems

  • Data Quality, Governance, and Stewardship

  • Data Mining and Knowledge Discovery

  • Stream Processing and Real-Time Analytics

  • Intelligent Data Platforms and DataOps

  • Scientific Data Management


Track 3: Intelligent Computing Technologies

  • Distributed and Parallel Computing

  • Edge Intelligence and Edge AI

  • Federated Learning and Distributed Intelligence

  • Cyber-Physical Systems

  • Digital Twin Technologies

  • Internet of Things (IoT) and Industrial IoT

  • AI for 5G/6G and Future Networks

  • High-Performance Intelligent Computing


Track 4: Trustworthy and Secure AI

  • AI Safety and Reliability

  • Adversarial Machine Learning

  • AI Security and Privacy Protection

  • Differential Privacy and Secure Computation

  • Fairness, Accountability, and Transparency

  • Ethical and Responsible AI Governance

  • Regulatory and Policy Frameworks for AI


Track 5: Computational Intelligence and Emerging Paradigms

  • Evolutionary Computation

  • Swarm Intelligence

  • Neuro-Symbolic AI

  • Causal Learning and Causal Inference

  • Quantum Artificial Intelligence

  • Quantum Machine Learning

  • Artificial General Intelligence (AGI)

  • AI for Scientific Discovery


Track 6: AI Applications and Data-Driven Innovation

  • Intelligent Healthcare and Biomedical Informatics

  • Smart Manufacturing and Industry 5.0

  • Intelligent Transportation Systems

  • Smart Cities and Urban Computing

  • FinTech and Intelligent Financial Services

  • Intelligent Energy Systems and Smart Grids

  • Environmental Monitoring and Sustainability

  • Intelligent Education and Learning Analytics

  • Agricultural Intelligence and Precision Farming

  • Robotics and Autonomous Systems

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