University of Osnabrück Doctoral student Geoinformatics
10/2019-02/2022
University of Osnabrück Master of Science Geoinformatics
Thesis: “CNN-Based Classification of Plant Communities in Extensive Grasslands Using Multispectral UAV-Data”
09/2015-04/2019
OWL University of Applied Sciences and Arts Bachelor of Science Applied Computer Science
Thesis: “Konzeption eines Algorithmus zur Identifikation von Bruchpunkten in nutzungsgewichteten Straßengraphen”
Research and Work Experience:
Since 08/2025
University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis
Research assistant, Project KI-Reallabor Agrar
01/2025-03/2025
WWOOF Ireland
Agricultural work exchange
02/2022-12/2024
University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis
Research assistant, Project Cognitive Weeding
03/2021-02/2022
University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis
Research assistant, Project Carpe Memoriam
03/2020-02/2021
University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis
Student assistant, Project SOIL-DE
04/2019-09/2019
Municipality Höxter
Geodata Management
02/2018-05/2018
University of the Free State, South Africa, Department of Computer Science and Informatics and International Agricultural Academy for Africa
Student assistant (international internship)
03/2016-03/2019
OWL University of Applied Sciences and Arts, Department of Environmental Engineering and Applied Computer Science
Student assistant
Schwerpunkte
I am interested in species specific classification of different plants. During my work in CogntivieWeeding I focus on common weeds in Northern Germany. For this, I conduct field experiments with multispectral UAV systems as well as hyperspectral measurements in the greenhouse. I use different machine learning techniques to combine both spectral and geometric features of differently shaped plants.
