1. Research on image and signal processing theory and technology and its application in clinical medicine, including the application of traditional and machine learning methods to ultrasound, nuclear magnetic resonance, and CT images, for denoising, target segmentation, target detection, modal conversion, hierarchical classification, auxiliary diagnosis, and Bragg peak thermoacoustic signal localization in proton therapy

2. Ultrasonic FWI and its application in the quantitative detection of bone defects

3. Full waveform inversion algorithm in geophysical exploration