Department for Physiological Diversity
German Center for Integrative Biodiversity Research (iDiv)
Deutscher Platz 5a
phone: +49 341 9733241
My research focuses on extracting quantitative biotic parameters on grasslands through data classification and segmentation algorithms. This means using smartphones to extract structural plant information from networked grassland experiment plots and using deep learning to convert that information into usable metrics for environmental researchers.
- Estimating biotic parameters to support environmental experimentation and modeling.
- Improving classification and segmentation algorithms for vegetation through advances in machine learning.
- Developing open-source sensor and processing tools for global in-situ sensing.
MS, Computer Science - University of Colorado, Boulder
PhD Candidate, Photogrammetry - Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden