I am a doctoral student in the "XAI - Explainable AI" research group, working on the explainability of deep learning models.
In my doctoral thesis, I develop novel deep learning models to detect human affective states based on time-series data and analyze how the developed models could be explained. My current research interests are machine learning, explainable AI, time series.
Before joining my doctoral studies, I worked on developing evolutionary algorithms for optimization in dynamic environments.
I have been teaching assistant giving lectures for the "Data Preprocessing and Visualisation" course.