Summary
Zhuo Zheng is a postdoctoral scholar and researcher at Stanford AI Lab with eight years of experience at the intersection of computer vision, photogrammetry, and remote sensing. Holding a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, he co-leads WG-MIA and contributes to IEEE GRSS IADF, focusing on machine and deep learning methods for image analysis and Earth vision applications. His work blends rigorous academic research with practical Earth-observation tools, reflected in an active Google Scholar profile and GitHub presence as an Earth Vision Researcher. Based in Wuhan, he brings a strong background in surveying engineering and remote sensing instrumentation to AI-driven image analysis problems. Colleagues note his ability to translate theoretical models into applied pipelines for large-scale geospatial imagery, an often underappreciated skill among academics. He combines multidisciplinary collaborations with hands-on experiments at SAIL to push robust, reproducible solutions for real-world remote sensing challenges.
8 years of coding experience
学士学位, Surveying Engineering, 学士学位, Surveying Engineering at 中国地质大学(武汉)
博士, 摄影测量与遥感, 博士, 摄影测量与遥感 at 武汉大学