ML4EARTH - Key Persons
Job Titles:
- Researcher at the University of Leipzig
My name is Andrés and I am an Artificial Intelligence researcher with 10+ years of academic
My name is Jie Zhao. I received my Ph.D. degree in remote sensing between Technische Universität Wien, Vienna, Austria and Luxembourg Institute of Science and Technology, Esch-Sur-Alzette, Luxembourg. Currently, I am a Postdoc focusing on large-scale flood mapping using earth observation data at the department of Data Science in Earth observation, Technical University of Munich. My research interests broadly lie in flood mapping, deep learning, and SAR image analysis. During my Ph.D. studies, I worked on several projects with various partners. With such an academic background, I'd like to contribute to community development in ML4Earth.
My name is Marcus Langejahn and I coordinate the ML4Earth project at TUM as a science manager. I have a background in observational astrophysics where I obtained my PhD at the University of Wuerzburg in 2022 and gained experience with coordinating the DFG research unit FOR5195. For ML4Earth I aim to connect our community of researchers and students while facilitating a friendly and open working environment. Also, I am interested in the field of science communication, trying to convey the amazing scientific results of today's research to the public
Hi everybody, my name is Konrad Heidler. I'm a PhD student at the chair for Data Science in Earth observation at TU Munich. I am interested in applying deep learning and computer vision for the remote sensing of phenomena in polar regions. Some examples for the things I try to capture with my algorithms are glaciers, permafrost, or sea ice.
Job Titles:
- Student, Complex Structures )
I am a Ph.D. student and is a member of ML4Earth. I come from China. In 2018, I attained a bachelor's degree after graduating from the University of Electronic Science and Technology of China. Later I took my master's degree in the ESPACE double degree program and received a master's degree from both Technical University of Munich and Wuhan University. Currently, I am working on machine learning for complex structures, including the application of graph neural networks on climates (e.g., tipping points and critical transition). My research interest includes domain adaption, graph neural networks, spatial-temporal analysis, and remote sensing, etc.
Hey there! This is Xiangyu Zhao. I am a first year Ph.D. Candidate in ML4EO supervised by Prof. Dr.-Ing. habil. Xiaoxiang Zhu. Prior to my PhD, I got my master degree at TU Munich and bachelor degree at Tongji University. I am greatly passionate about Artificial Intelligence and especially interested in machine learning algorithms. Using AI to explore the earth is a challenging and promising research direction. Based on the abundant data acquired from different sources, we are looking forward to extracting information for Earth observation. Especially, my goal is to develop computer vision algorithms with only sparse labels. My research interests lie in label efficient learning and transfer learning.