I am a researcher working within the domain of Geoinformation Science (GIS) at the Geoinformation research group at TU Wien. My major interest is the analysis of the potential of geospatial semantics for the purpose of spatial prediction. Therefore, I investigate the predictive potential by utilizing machine learning algorithms, such as Deep Learning. The results of these analyzes allow to create novel spatial metrics as well as to gain insights on the structure of geospatial semantics. They ultimately enable to create more powerful spatial prediction methods as well as to apply machine learning in an effective way within spatial analysis.
Previous to my current job I worked as a researcher at KTH Royal Institute of Technology (Stockholm) in the domain of Remote Sensing and as a software engineer at the Austrian Institute of Technology (AIT). During my time at KTH I worked on Deep Learning and Object based image classification for performing multi-temporal analysis. I also had the opportunity to give classes in Remote Sensing at the University of Rwanda in Butare (Africa). At AIT I developed at script-language for processing geospatial data.
Given my education and job experience, I have a strong background in Geoinformatics, Machine Learning, Remote Sensing and Computer Science.