Thesis Projects Supervised by Selin Aydin

Current thesis projects (2)

Completed thesis projects (23)

2024 (3)

  • Generation of Experiment Workflow Models from Juypter Notebooks
    Master
  • Improving Visualization and User Interaction in Histree
    Bachelor
  • Quantitative and Qualitative Evaluation of a Jupyter Cell Recommender System
    Bachelor

    • 2023 (11)

    • An Assistive Tool to Convert Jupyter Notebook to Structured Repository
      Master
    • Modelling Software Development Processes of Machine Learning Systems
      Master
    • Tool-Based Discovery of Machine Learning Software Development Processes
      Master
    • A User-Friendly Jupyter Lab Extension for Cell Recommendation
      Bachelor
    • A Knowledge Base for SE4ML
      Bachelor
    • Energy Systems - Use Cases and Digital Twins
      Master
      • Id: 2023-021
      • Student: Narmeen Falak
      • Supervisor: Selin Aydin
      • Research project: 
    • Metrics for evaluating Quality of large Scale Forecasts in the Energy Sector
      Master
      • Id: 2023-015
      • Student: Carl Guillaume
      • Supervisor: Selin Aydin
    • Experiment History Tracking for Jupyter Notebooks
      Master
    • Censored due to conference double-blind policy
      Bachelor
    • Reuse Concepts for Jupyter Notebooks
      Master
    • A consistent evaluation approach for ML models
      Master

      • 2022 (3)

      • A Catalogue of Antipatterns for Machine Learning Systems
        Master
      • Towards Jupyter Notebook to Structured Code Repository Conversion
        Master
      • A Blueprint for an Industrial Smart Building Platform
        Bachelor

        • 2021 (6)

        • Developing a DSL-based Load Generator for Timeseries Processing Systems
          Bachelor
          • Id: 2021-017
          • Student: David Kierdorf
          • Supervisor: Selin Aydin
        • Modelling and Exploration of Event-Driven Architectures
          Bachelor
          • Id: 2021-016
          • Student: Sara Prifti
          • Supervisor: Selin Aydin
        • Cloud-Native Benchmarking of Geospatial Time Series Array Storages for System Optimized Efficient Data Retrieval and Extractions
          Master
        • A framework for integration of real-time anomaly detection algorithms in timeseries streaming
          Master
          • Id: 2021-009
          • Student: Chunxia Yang
          • Supervisor: Selin Aydin
        • A framework for real time IOT stream processing with a large number of sensor specific data pipelines
          Bachelor
          • Id: 2021-008
          • Student: Phillip Kemper
          • Supervisor: Selin Aydin
        • Analyzing Distributed Systems using Tracing and Process Mining
          Master

          • Note: This list may be incomplete as our dataset does not cover the complete history of the research group.