Assistant Professor at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
Shenzhen, Guangdong Province, Germany
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Summary
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Qingyu Li is an Assistant Professor at the Chinese University of Hong Kong, Shenzhen, specializing in AI-driven remote sensing for sustainable urban development, with eight years of experience spanning academia and applied research. His PhD and postdoctoral work in Germany focused on deep learning for building footprint generation and earth observation, contributing to large projects like So2Sat and the “Earth Care” initiative. Qingyu blends rigorous algorithm development with real-world case studies—from undocumented building detection to local climate zoning—bridging satellite imagery, SAR/optical fusion, and Google Earth Engine workflows. He has a strong multicultural academic background with degrees from TUM and Wuhan University and a track record of moving research into operational frameworks. Colleagues describe him as both collaborative and curious, often seeking interdisciplinary connections and new opportunities beyond traditional remote sensing boundaries.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Photogrammetry and Remote Sensing, Master of Science - MS, Photogrammetry and Remote Sensing at Wuhan University
Doctor of Philosophy - PhD, Deep Learning for Building Footprint Generation from Optical Imagery, Doctor of Philosophy - PhD, Deep Learning for Building Footprint Generation from Optical Imagery at Technical University Munich
Master of Science - MS, ESPACE (Earth space oriented science and technology), 1.5/4.0 (passed with distinction), Master of Science - MS, ESPACE (Earth space oriented science and technology), 1.5/4.0 (passed with distinction) at Technische Universität München
Contributions:201 pushes, 6 branches in 2 years 7 months
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