Richard Zeng is a geospatial research technician based in Calgary with over 15 years of experience in remote sensing, image processing and GIS, and 11 years of formal professional experience. He specializes in image matching, classification and object recognition, bringing strong mathematical foundations and proficiency in C++ and Python to research-driven software development. At the University of Calgary he applies algorithm research to practical geospatial problems, bridging academic rigor from a PhD with hands-on engineering. An enthusiast for software craft, he combines deep theory with production-minded coding to accelerate geospatial workflows. Notably, his background reflects sustained commitment to image processing research across multiple advanced degrees, enabling him to translate complex algorithms into usable tools for mapping and analysis.
11 years of coding experience
Bachelor's degree, Bachelor's degree at Beijing Normal University
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Chinese Academy of Sciences
Forest Line Mapper: Series of script tools for facilitating the high-resolution mapping and studying of forest lines via processing canopy height models.
Contributions:2 releases, 277 commits, 49 PRs in 1 year 8 months
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