Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. He is also an Amazon Scholar. Wu’s research focuses on advancing open-source geospatial analytics through cloud computing and GeoAI. He is the creator and maintainer of several widely used open-source Python packages, including Geemap, Leafmap, Segment-Geospatial, GeoAI, and GeoLibre. Wu’s work bridges remote sensing, Earth observation, and artificial intelligence to make large-scale geospatial analytics more accessible, reproducible, and intelligent. He is also the founder of the Open Geospatial Solutions GitHub organization, which hosts over 100 open-source projects.

Wu also serves as the Director of Graduate Studies in his department and as the Director of TennesseeView, a Tennessee Remote Sensing Consortium. He was a Google Developer Expert (GDE) for Earth Engine and has received many awards, including the Google Open Source Peer Bonus Award, the International Geospatial Innovation Award, and the CPGIS Innovation Award. His YouTube channel has over 900 video tutorials with 65K+ subscribers, 167K+ watch hours, and 3.1M+ views.

Courses taught at the University of Tennessee, Knoxville

• GEOG 111 – Our Digital Earth
• GEOG 312 – First Steps in GIS Programming
• GEOG 411 – Intermediate GIS
• GEOG 414 – Spatial Data Management
• GEOG 422 – Geographic Software Design
• GEOG 501 – Colloquium in Geography
• GEOG 504 – Introduction to Geographical Research
• GEOG 505 – Directed Research
• GEOG 510 – Geographic Software Design

Books

• Wu, Q. (2026). GeoAI with Python: A Practical Guide to Open-Source Geospatial AI. 430 pages. Independently published. ISBN (Print) 979-8253507414; ISBN (PDF) 979-8993859729. 

• Wu, Q. (2025). Spatial Data Management with DuckDB: From SQL Basics to Advanced Geospatial Analytics. 446 pages. Independently published. ISBN (Print) 979-8274710572; ISBN (PDF) 979-8993859705.

• Wu, Q. (2025). Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools. 556 pages. Independently published. ISBN (Print) 979-8286979455; ISBN (PDF) 979-8993859712. 

• Wu, Q. (2023). Earth Engine and Geemap: Geospatial Data Science with Python. 408 pages. Locate Press. ISBN (Print) 978-1738767519; ISBN (PDF) 978-1738767526.