My background is in Computer Vision and Machine Learning, with specific interests in deep learning and its second-order statistical representation. To confirm the generalisation ability of the theoretical framework I investigated, I successively deployed it in a number of standard computer vision scenarios and achieved satisfactory results.

Prior to joining NEOlab, I was a research assistant in the machine learning group, Open Lab, Newcastle University. 

• Wang S, Guan Y, Shao L. Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification. IEEE Transactions on Image Processing 2020, 29, 5396-5407.