Xuemeng Tian

At OpenGeoHub, she is responsible for preparing and processing geo-spatial and spatiotemporal data. She has a  background in remote sensing technologies, specifically in radar remote sensing and GNSS-R techniques. Through five months’ internship at eLeaf, she also gained experience in machine learning technology.

At OpenGeoHub, she contributes to:

• importing and processing spatial and spatiotemporal data with a special focus on Earth Observation data and applications;
• reporting and publishing results of research in peer review journals and public platforms, and presenting the foundation work at international conferences and workshops;
• installing and maintaining software on local server, and cloud platforms;
• developing and testing new algorithms and approaches to predictive mapping and machine learning;
• optimizing computing / minimizing production costs;
• creating complete data sets, packaged software and software manuals including tutorials for other researchers;
• contributing to the Open Source Software and Open Data communities through FOSS4G, Python and similar communities.