Marco Stang, M.Sc.

Marco Stang, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Marco Stang

  • Born in May 1987
  • Bachelor's degree in Electrical Engineering and Information Technology at KIT
    • Graduated in August 2011
    • Title of the bachelor thesis: Development of a report generator for the visualization of ECG data and activity data
  • Master's degree in Electrical Engineering and Information Technology at KIT
    • Completed in November 2015
    • Title of the Master's thesis: Demonstration of a continuous simulation coupling for driver assistance system development with combined programming environments and languages
  • 10/2015 - 12/2016 Research assistant at the FZI
  • Research associate at ITIV since January 2017


Supervised Student Theses

  • MA: "Adaptive adjustment of vehicle warning signals by camera-based monitoring of the driver;"
  • MA: "Reinforcement Learning for autonomous driving in the AirSim simulation environment; Reinforcement Learning for Autonomous Driving AirSim"
  • MA: "Intelligent Visual Inspection of Braiding Patterns Using Machine Learning to Recognize Defects; Intelligent Visual Inspection of Braiding Patterns Using Machine Learning to Recognize Defect"
  • BA: "Machine Learning for Spectral Reconstruction and Classification"
  • MA: "Application and validation of machine learning based on reinforcement learning for autonomous vehicles in a simulation environment;"
  • MA: "Video-Based Maneuver Recognition for an Enhanced Methodology to Evaluate Real Driving Emission Tests; Video-Based Maneuver Recognition for an Enhanced Methodology to Evaluate Real Driving Emission Tests"
  • BA: "Entwurf und Realisierung eines Systems zum Testen von maschinellen Lernverfahren auf Basis eines mobilen Fahrzeuges; Design and Implementation of a System for Testing Machine Learning Processes on the Basis of a Mobile Vehicle"
  • BA: "Conceptual Design and Modeling of an Electronic Architecture of a Demonstrator for Future Intelligent Vehicles; Conceptual Design and Modeling of an Electronic Architecture of a Demonstrator for Future Intelligent Vehicles"


Student work

Titel Datum