Project

Single-Cell In Situ Spatial Omics at Subcelluar Resolution (SCISSOR)

Developing of a single-cell and spatial based method for understanding and diagnosing cancer.

Machine Learning Based Nuclear Classification Method

Established a Machine Learning based method for the classification of nanostructure guided subnuclear feature in cells

Computer Vision based Ultrasound Scan Analysis and Feature Detection

Designed a robust algorithm to enhance the detection of musculoskeletal features in ultrasound scans of the lower limb.






Gait Analysis based Parkinson Assessment System

Build Parkinson's assessment system with experiment design, data collection and gait data analysis algorithm development.

Self-Driving Solution: Deep-Learning based Objects Tracking

Implement a deep learning model(Yolo3) on the street video, achieving object tracking with real-time distance estimation