📚︎Machine Learning Methods and Computational Intelligence

Deep Neural Networks and Model Architectures; Reinforcement Learning and Sequential Decision-Making; Self-supervised and Representation Learning; Transfer Learning and Domain Adaptation; Multi-task and Lifelong Learning; Probabilistic Learning and Bayesian Inference; Optimization Algorithms for Machine Learning; Trustworthy, Robust and Explainable AI

📚︎Perception, Sensing and Multimodal Intelligence

Computer Vision and Scene Understanding; Speech Processing and Natural Language Understanding; Multimodal Learning and Cross-modal Fusion; Sensor Data Processing and Information Fusion; Active Perception and Sensorimotor Coordination; Human Behavior Analysis and Intent Recognition; Spatiotemporal Data Modeling; Perception for Autonomous and Intelligent Systems

📚︎Embodied Intelligence, Robotics and Autonomous Systems

Robot Learning and Intelligent Control; Embodied Perception-Action Learning; Vision-Language-Action Models; World Models and Environment Representation; Autonomous Navigation and Motion Planning; Dexterous Manipulation and Tool Use; Human-Robot Interaction and Collaboration; Sim-to-Real Transfer and Adaptive Robotics

📚︎Intelligent Systems and Cyber-Physical Applications

Intelligent Control and Automation Systems; Cyber-Physical Systems and Digital Twin; Edge Intelligence and Distributed Systems; Internet of Things for Intelligent Systems; Smart Manufacturing Systems; Intelligent Transportation Systems; AI-enabled Healthcare Systems; Safety and Reliability of Cyber-Physical Systems