1. Advanced signal processing and machine learning

• Signal processing for mmWave communications and massive machine type communications (MMTC)
• Predicted beam control and management via machine learning in mmWave communications
• Learning-based image reconstruction algorithms for portable ultrasound computer tomography (USCT)
• Learning-based diagnosis systems for wireless network
• Enhanced object detection using spatial and temporal context
• Sequence prediction and analysis for video data

2. Machine learning for intelligent vehicle

• Sensor fusion-based object detection and tracking
• Sequence and trajectory analysis of surrounding vehicles for safe driving
• Radar/Lidar signal processing and Lidar-based perception
• Deep learning-based analysis of driving proficiency level and style
• Vehicle control and planning via reinforcement learning
• Energy-efficient deep learning architecture