Projects
[1.1] Predictive Process Monitoring in Chatbots for Analyzing Response Paths
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This doctoral project, supervised by Univ.-Prof. Dr. Patrick Delfmann, focuses on the analysis and prediction of response paths in chatbots. The project aims to improve interaction with chatbots by understanding and anticipating user queries and behavior, with the goal of making the technology more efficient and user-friendly.
[1.2] Predictive Process Monitoring of Click Data for Analyzing and Predicting User Behavior
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Under the supervision of Prof. Dr. Tobias Walter, this doctoral research focuses on the analysis of click data to predict user behavior. By developing models that predict users’ click behavior, the goal is to enable personalized and optimized user experiences in digital media.
[1.3] Predictive Process Monitoring of Semi-Structured and Unstructured Processes in Media Companies
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This doctoral project, led by Prof. Dr. Sven Pagel, investigates the application of predictive process monitoring to semi-structured and unstructured processes in media companies. The goal is to increase the efficiency and effectiveness of media production and distribution processes by developing predictive models and methods that support data-driven decision-making.
[2.1] Adaptive Registration and Semantic Interpretation of Point Clouds in Indoor Environments
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Led by Prof. Dr. Thomas Klauer, this doctoral research addresses the challenge of developing adaptive methods for the registration and semantic interpretation of 3D point clouds in indoor environments. The project aims to optimize navigation and space planning in accessible buildings through precise and dynamic 3D models.
[2.2] Robust Registration and Semantic Interpretation of Point Clouds in Outdoor Environments
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Under the supervision of Univ.-Prof. Dr. Dietrich Paulus and Univ.-Prof. Dr. Peer Neubert, this doctoral project focuses on the development of advanced algorithms for robust registration and semantic interpretation of 3D point clouds. The goal is to improve the accuracy and reliability of 3D reconstructions in outdoor environments in order to design and analyze accessible environments more efficiently.