Topic 1: AI Fundamental Theory and Methodology

Machine Learning and Deep Learning Theory

Statistical Learning and Probabilistic Modeling

Neural Networks and Representation Learning

Reinforcement Learning and Decision-Making

Evolutionary Computation and Swarm Intelligence

Fuzzy Logic, Granular Computing and Soft Computing

Graph Learning and Graph Neural Networks

Knowledge Representation and Reasoning

Federated Learning and Distributed Learning

Transfer Learning, Meta-Learning and Few-Shot Learning

Topic 2: Core AI Technologies and Methods

Generative AI: Large Language Models, GANs, Diffusion Models, and AI-Generated Content (AIGC)

Multimodal Perception and Fusion: Vision, Language, Audio, and Cross-modal Learning

Computer Vision and Image Processing

Natural Language Processing and Understanding

Speech Processing and Spoken Language Technology

Edge Intelligence and On-Device AI

Autonomous Systems and Robotics

Agent-based Systems and Multi-agent Systems

Retrieval-Augmented Generation (RAG) and Knowledge-Augmented AI

AI for Complex Systems and Digital Twins

Topic 3: Trustworthy AI, Ethics, Security and Governance

Explainable and Interpretable AI (XAI)

AI Safety, Robustness and Adversarial Defense

Fairness, Accountability, and Transparency in AI

Privacy-Preserving AI: Differential Privacy, Secure Computation and Synthetic Data

AI Governance, Regulation and Standardization

Ethical and Social Implications of AI

Deepfake Detection and Content Authentication

AI Compliance and Risk Management

Trustworthiness Evaluation and Benchmarking of AI Systems

Topic 4: AI for Industry, Engineering and Interdisciplinary Applications

4.1 Artificial Intelligence in Electrical and Power Engineering

AI in Smart Grids, Renewable Energy Integration, and Energy Forecasting

AI in Power System Stability, Control and Fault Diagnosis

AI in Power Electronics and Drives

AI-Enabled Energy Management and Demand Response

Internet of Energy (IoE) and Green Computing

4.2 Artificial Intelligence in Communications and Networking

AI-Enabled 5G/6G and Semantic Communications

AI-Driven Wireless Resource Allocation and Network Optimization

Intelligent Reflecting Surface (IRS) and Reconfigurable Intelligent Environment

AI in Satellite Communications and Integrated Air-Space-Ground Networks

IoT, Edge AI, and Machine-to-Machine Communications

AI for Network Security and Anomaly Detection

4.3 Artificial Intelligence in Intelligent Transportation Systems

Autonomous Driving and Vehicle-to-Everything (V2X) Technologies

AI for Traffic Flow Prediction, Control and Congestion Management

Intelligent Infrastructure and Digital Twin for Transportation

Mobility-as-a-Service (MaaS) and Smart Mobility Systems

AI-Driven Logistics, Fleet Management, and Supply Chain Optimization

4.4 Cross-Disciplinary Applications

AI in Healthcare and Biomedical Engineering

AI in Smart Manufacturing, Industry 4.0/5.0 and Predictive Maintenance

AI in Smart City and Urban Computing

AI in Remote Sensing, Geospatial Analytics, and Earth Observation

AI in Environmental Monitoring, Climate Modeling and Sustainable Development