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            • Theses Supervision | Prof. Dr. Fabian Gieseke
 
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Prof. Dr. Fabian Gieseke
Professor

Chair of Machine Learning and Data Engineering (Prof. Gieseke)

Leonardo Campus 3
48149 Münster


Room: 233

Phone: +49 251 83-38151
fabian.gieseke@wi.uni-muenster.de
www.wi.uni-muenster.de/department/dasc/people/fabian-gieseke

ShortURL: ERC.IS ShortURL erc.is/p/fabian.gieseke

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

    • Evaluating the Influence of Spatial Resolution on Object Detection in UAV Imagery (Bachelor's thesis IS, 2025)
    • Nils Alexander Kempen: Cloud-based Internet Telescope (Master's thesis IS, 2024)
    • Efficient Object Detection under constrained Resources (Master's thesis IS, 2024)
    • Machine Learning for Football Match Outcomes: A Data-Driven Approach to Football Analytics (Bachelor's thesis IS, 2024)
    • High-Res Canopy Height Mapping in German Forests: Predicting Tree Heights with PlanetScope Satellite Imagery and GEDI Footprints (Master's thesis IS, 2024)
    • Interactive Web Application for Training Data Generation in Satellite Imagery using Segment Anything Model (Bachelor's thesis IS, 2023)
    • You Only Count Trees: Individual Tree Detection for Satellite Images of Densely Growing Trees (Master's thesis IS, 2023)
    • Evaluation of Image Feature Extraction Methods for Nearest Neighbor Search on Satellite Imagery (Master's thesis IS, 2023)
    • Ziyi Wang: Machine Learning for Cardinality Estimation in Relational Databases (Master's thesis IS, 2023)
    • Binh An Patrick Nguyen: Data Marketplaces for Smart Grids (Master's thesis IS, 2023)
    • Lukas Heidemann: Development and Evaluation of E-Grocery-Focused Churn Prediction Systems (Master's thesis IS, 2023)
    • Max Lütkemeyer: Interactive data visualization and exploration with self-organizing maps (Bachelor's thesis IS, 2023)
    • Semi-Supervised Machine Learning for Query By Example on Relational Databases (Master's thesis IS, 2022)
    • Collecting personal learner information in digital education: From tedious questionnaire to entertaining chatbot experience (Master's thesis IS, 2022)
    • Web tracking and its application for Learning Analytics: A case study with reveal.js (Master's thesis IS, 2022)
    • Jan Pauls: Generating High-Resolution Height Maps Using Deep Neural Networks (Master's thesis IS, 2022)
    • Linus Stach: Application of Transferable Adversarial Attacks on Convolutional Neuronal Networks: An Evaluation of Existing Attack and Defense Mechanisms (Bachelor's thesis IS, 2022)
    • Detection and Segmentation of Tree Instances on a Rwandan Satellite Dataset (Bachelor's thesis IS, 2022)
    • Customer Behavior Predictions for Online Travel Agencies: A Practical Implementation (Master's thesis IS, 2022)
    • Data provenance for a semantically-structured representation of license information for open educational resources (Bachelor's thesis IS, 2022)
    • Erik Zimmermann: Development of a gradient-free adversarial attack on convolutional neural networks to evaluate existing defense strategies. (Bachelor's thesis IS, 2022)
    • Deep Learning Semantic Segmentation of Tree Stock in South Africa Using Satellite Images (Bachelor's thesis IS, 2022)
    • Experimental Improvement of Streaming Quality in a Cloud-Based Geographical Information System (Bachelor's thesis IS, 2022)
    • Machine Learning Under Resource Limitations (Bachelor's thesis IS, 2021)
    • Efficient Convolutional Neural Network Inference on Microcontrollers (Bachelor's thesis IS, 2021)
    • Reverse image search using deep discrete feature extraction and locality-sensitive hashing (Bachelor's thesis IS, 2021)
    • Thomas Ackermann: Investigating Deep Learning-based Strategies to Cope with Label Noise in Satellite Data Using the Example of African Non-Forest Trees (Master's thesis IS, 2021)
    • Semantic Segmentation of Satellite Images Using Point Supervision (Master's thesis IS, 2021)
    • Investigating the Practicability of Deep Learning based Super- and Upsampling Approaches for Satellite Data (Bachelor's thesis IS, 2021)
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Contact

Data Science: Machine Learning and Data Engineering
Prof. Dr. Fabian Gieseke

Leonardo-Campus 3
48149 Münster
Deutschland

Tel.: +49 251 83-38150
Fax: +49 251 83-38159
sek-dasc@wi.uni-muenster.de

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