Xin He

Xin He

My research focuses on leveraging artificial intelligence techniques, including among others computer vision and machine learning, to recognize traits in microscopic wood anatomy. My ultimate objective is to develop a wood identification pipeline to help facilitate wood identification, to combat illegal wood trade, and to support CITES regulation. I also developed the EyeWood© microscopic wood database management system and proposed the FEC method, a fast retrieval system for anatomical features based on machine learning. 


Wood Anatomy, Machine learning, Microscopic Image Classification, Feature Detection

Xin He

PhD  Candidates 
Fuctional Traits

+31 (0) 717519600

+31 (0) 619986323

+86 (0) 13888008509