Sheng Fang

Sheng Fang is an experienced Machine Learning Lead with a background in Computer Vision, Artificial Intelligence, and Control Science. Sheng has held technical leadership roles in various companies, including developing cloud-based vehicle damage detection systems and face recognition systems. With a Ph.D. in Artificial Intelligence and a solid education background from reputable institutions, Sheng is well-versed in deep learning techniques and technologies such as CNN and Visual Transformer. Sheng's research also focuses on applying machine learning methods to understand human-human interactions.