Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis. The first supervisor is Dr. Martin Wegmann.
M.Sc. Student Clara Vydra Begins Thesis Field Work on Alpine Water Resources
We’re pleased to share that our M.Sc. student Clara Vydra has recently begun her thesis field work in the Austrian Alps in collaboration with the German Alpine Association (DAV) and the German Aerospace Center (DLR). Her research focuses on the impacts of climate...
