◕ Multimodal Signal Processing and Representation

• Image, video, speech and audio signal processing
• Sensor data processing and multimodal sensing
• Feature extraction and representation learning
• Signal enhancement, restoration and compression

• Biomedical and physiological signal analysis
• Multimodal data modeling and encoding
• Large-scale multimodal data preprocessing techniques
• Multimodal time-series analysis and temporal modeling

◕ Cross-Modal Learning and Information Fusion

• Cross-modal alignment and representation mapping
• Multimodal deep learning architectures
• Multimodal foundation models and pre-training
• Joint perception and collaborative learning
• Multimodal reasoning and decision-making
• Knowledge-guided multimodal learning
• Attention mechanisms and cross-modal representation learning
• Self-supervised and unsupervised multimodal learning

◕ Multimodal Intelligent Systems and Applications

• Multimodal perception system architectures
• Human–machine interaction and immersive systems
• Intelligent robotics and autonomous systems
• Multimodal AI for autonomous driving and transportation
• Industrial intelligent systems based on multimodal data

• IoT and edge AI multimodal systems
• Multimodal AI for perception and decision-making in complex environments
• Real-time multimodal AI system integration and deployment