Profile · Career · Recognition
My main research area is symbolic artificial intelligence, with a focus on knowledge representation and reasoning (KR). I am particularly interested in how to reason with uncertain or inconsistent information and how inconsistency can be quantified and handled computationally. Another strand of my research concerns computational argumentation, including approaches that combine (KR) and machine learning.
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Faculty award for the best scientific work by an early-career researcher in 2025
Faculty of Mathematics and Computer Science, FernUniversität in Hagen.
Teaching Award
FernUniversität in Hagen, for the Machine Learning course.
Business Award (Hochschulpreis der Wirtschaft)
Chamber of Industry and Commerce Koblenz, for my Master’s thesis.
Best Student Paper Award
14th International Conference on Scalable Uncertainty Management, for “An Algorithm for the Contension Inconsistency Measure Using Reductions to Answer Set Programming.”
Best Team Award, Professional League
European Robotics League, 2018–19.
Best Team Award, Consumer League
European Robotics League, 2018–19.
1st Place, @Home Open Platform League
RoboCup World Cup 2019, Sydney.
3rd Place, @Home Open Platform League
RoboCup German Open 2019, Magdeburg.
Business Award (Hochschulpreis der Wirtschaft)
Chamber of Industry and Commerce Koblenz, for my Bachelor’s thesis.