Philipp Spitzer, M.Sc.

Philipp Spitzer, M.Sc.

  • Kaiserstraße 89
    76133 Karlsruhe


Philipp Spitzer graduated from Karlsruhe Institute of Technology (KIT) with a bachelor's and master's degree in Industrial Engineering and Management. As part of his master's degree he worked as a research assistant at the Energy Production and Innovation Center at University of North Carolina in Charlotte, USA. In 2019, Philipp started to work for Fujitsu as a Data Scientist, where he focused his work on applying his machine learning skills in real-world scenarios to optimize production sites. After almost two and a half years working for Fujitsu, Philipp returned to KIT joining the research group Digital Service Innovation (DSI). In DSI, he is striving within the Applied AI in Services team towards his PhD in cooperation with Trelleborg Sealing Solutions Germany GmbH.

Research Focus

  • Applied Machine Learning & Deep Learning
  • Human-Machine-Collaboration
  • Knowledge Retention




Conference Papers
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Martin, D.; Spitzer, P.; Kühl, N.
2020. 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document
Conference Papers
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Spitzer, P.; Kühl, N.; Goutier, M.
2022. Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), 23rd July, Baltimore. doi:10.48550/arXiv.2207.00497