Dear visitor of this webpage! My name is XiaoxiangZhu and I am holding the Chair for Data Science in Earth observation (SiPEO) at the Technical University of Munich (TUM). My research focus on AI and data science in Earth observation. Specifically, I develop innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. My lab aims at tackling societal grand challenges, e.g., global urbanization, UN’s SDGs and climate change, thus, works on solutions that can scale up for global applications. I have enjoyed a lot to (co-)supervise more than 60 PhD students to date and to initiate or lead more than 30 research projects. I also serve in the scientific advisory board in several research organizations, among others the German Research Center for Geosciences (GFZ) and Potsdam Institute for Climate Impact Research (PIK).
I am convinced by the impact of our methodological research to provide society with the data, knowledge, and tools to mitigate the unpleasant effects of the changing climate, or to adapt with the best-possible knowledge that AI models can provide based on global EO data. I am very happy that we are in the position to focus our research in these areas with ML4Earth and to thus add significant value to society. Within ML4Earth, together with our extremely capable team of PhD students and senior staff, we develop novel methods in EO Data Science and directly apply these methods where they are most needed in climate and environmental research.