◕ Perception & Sensor Systems ...

· Deep Learning for Intelligent Perception Systems ;

· Multimodal Data Fusion and Sensor-based Perception ;

· Perception Systems for Robotics and Autonomous Agents ;

· IoT and Environmental Sensing for Intelligent Systems ;

· Vision and Perception in Human-Robot Collaboration ;

· Cognitive and Perception Mechanisms for 

Human-Machine Interaction ;

· Edge AI for Real-Time Perception and Decision Making ;

· Robust and Safe Perception for Autonomous Systems ;

◕ Pattern Recognition & Machine Learning ...

· Machine Learning and Deep Learning for 

Perception and Decision-Making；

· Reinforcement Learning and Control in Intelligent Systems；

· Unsupervised and Self-supervised Learning in 

Complex Systems；

· Cross-domain Pattern Recognition and Cognitive Computing；

· Explainable AI and Interpretable Pattern Recognition；

· Few-shot and Zero-shot Learning for Perception；

· Self-supervised Representation Learning in Complex Systems；