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nikolaiwest/README.md

Hi there 👋

I'm Nick, a researcher at the Institute of Production Systems at TU Dortmund University. Here, I lead the "Smart Quality" research group and work on applying data analytics to manufacturing problems.

What I work on

  • Anomaly detection in time series data (screwdriving systems, production monitoring)
  • Prediction of dynamic bottlenecks in serial manufacturing
  • Deep learning and reinforcement learning for production planning
  • Industry 4.0 and IoT applications using analytics platforms

Find me elsewhere

University Profile • ResearchGate

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  1. pyscrew pyscrew Public

    Loads and prepares screw driving data from various experiments

    Python 6

  2. introduction-to-python introduction-to-python Public

    This repo contains the material for "Introduction to Python", a self-learning-based programming course.

    Jupyter Notebook 4 1

  3. 2025-supervised-error-detection-itise 2025-supervised-error-detection-itise Public

    Repo for our ITISE-paper on supervised error detection in PyScrew dataset s04 for variations in assembly conditions #2

    Python

  4. 2023-prepflow-webtool-bottleneck 2023-prepflow-webtool-bottleneck Public

    A online webtool for bottleneck prediction from the research project PrEPFlow

    Python

  5. 2022-anomaly-detection-cirp 2022-anomaly-detection-cirp Public

    Python 1

  6. 2021-reinforcement-learning-asim 2021-reinforcement-learning-asim Public

    Contribution to the 19th ASIM Conference for Simulation in Production and Logistics

    Jupyter Notebook 1