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.
EAGLE MSc Defense “Modeling Urban Heat Exposure and Vulnerability Integrating Citizen Science and VHR Remote Sensing”
On October 22, 2025, Ariana Sofía Argüello Cordero will present her Master Thesis on " Modeling Urban Heat Exposure and Vulnerability Integrating Citizen Science and VHR Remote Sensing" at 10:15 at the EORC Meeting Room (1st floor), John-Skilton-Str. 4a From the...
