1. Advanced signal processing and machine learning

• Signal processing and machine learning for 5G mmWave communications and massive machine type communications (MMTC)
• Inverse problem and model compression based on deep learning
• Object detection using spatio-temporal context
• Super resolution algorithm for image sensors
• Object tracking for video data sequence
• Low power/ low complexity deep learning algorithms

2. Machine learning for intelligent vehicles and mobile robots

• Sensor fusion-based 3D object detection
• Trajectory and behavior prediction based on global scene and interaction context
• Pedestrian tracking and intent identification
• Radar/Lidar signal processing
• Deep metric learning for driving style recognition and robot localization
• Path planning and decision making for autonomous vehicles and mobile robots