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              • Theses Supervision | Prof. Dr.-Ing. Christian Grimme
 
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Prof. Dr.-Ing. Christian Grimme
Former Research Assistant

Data Science: Statistics and Optimization

Leonardo Campus 3
48149 Münster



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  • About
  • Publications
  • Projects
  • Awards
  • Courses
  • Theses Supervision
  • Supervised Theses

    • A guide to LLM quality metrics (Master's thesis IS, 2025)
    • Scheduling Parallel Machines with Fixed Job Size, Precedence, and Eligibility: Complexity and Heuristic Ideas (Bachelor's thesis IS, 2024)
    • A Semi-supervised Content Moderation Tool for Abusive Language Detection using Transformer Models and Few-Shot Learning (Master's thesis IS, 2024)
    • Using Language Models for Benchmarking Manipulation Detection in Social Media (Master's thesis IS, 2022)
    • Performance Evaluation and Assessment in Continuous Multimodal Multi-Objective Optimization (Master's thesis IS, 2022)
    • Network Analysis for Topic Clusters on Twitter (Bachelor's thesis IS, 2022)
    • Filter Bubbles or Information Diversity? Experimental Investigation of the YouTube Video Recommender System (Bachelor's thesis IS, 2021)
    • Simulation of Information diffusion in a Social Media Ad-hoc Network (Bachelor's thesis IS, 2020)
    • Social Bot Detection using behavioral DNA (Bachelor's thesis IS, 2020)
    • An Empirical Study on the Benefits of Multiobjectivisation for Solving Single-Objective Problems (Bachelor's thesis IS, 2020)
    • The Effect of Attribution on the Quality of Revenue Prediction (Master's thesis IS, 2019)
    • Lena Adam: Analysis and Detection of Collective Nostalgia (Master's thesis IS, 2018)
    • Daniel Thamm: Prediction of credit default risk in retail banking using data mining methods (Bachelor's thesis IS, 2018)
    • Information Flow Analysis in Online Media (Master's thesis IS, 2018)
    • Analysis of Social Networks as technical ecosystem for Social Bots (Bachelor's thesis IS, 2017)
    • Multiobjective Genetic Stream Clustering - Applying MOCK to Statistic Summaries (Master's thesis IS, 2017)
    • Hilko Janßen: Experimental evaluation of population development in multi-objective evolutionary algorithms (Bachelor's thesis IS, 2016)
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Contact

Data Science: Statistics and Optimization
Prof. Dr. Heike Trautmann

Leonardo-Campus 3
48149 Münster
Germany

Tel.: +49 251 83-38200
Fax: +49 251 83-38209
qm@wi.uni-muenster.de

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