Prof. Dr. Alexander Schiendorfer

Phone:+49 841 9348-3531
Room: A234
Subject Area: AI-based Optimization in Automotive Production


  • Since March 2021 Research professor für AI-based Optimization in Automotive Production, Technische
                                  Hochschule Ingolstadt
  • 2018-2020           Senior researcher (untenured), Institute for Software & Systems Engineering, University of
  • 2013-2018            Research associate and doctorate in computer science, Institute for Software & Systems
                                  Engineering, University of Augsburg
  • 2011-2013            M.Sc. Software Engineering (University of Augsburg, TUM, LMU)
  • 2011                      Research internship at Siemens Corporate Research (Princeton, USA)
  • 2011                      B.Sc. Software Engineering (Hagenberg, Austria)

Full CV available upon request or


see also

  • S. Stieber, N. Schröter, A. Schiendorfer, A. Hoffmann and W. Reif. 2020. FlowFrontNet: improving carbon composite manufacturing with CNNs. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2020, 14-18 September 2020.
  • A. Schiendorfer, C. Gajek and W. Reif. Turning software engineers into machine learning engineers. In Proceedings of the Teaching Machine Learning Workshop at ECML-PKDD 2020, 14 September 2020. ML Research Press
  • A. Schiendorfer and W. Reif. “Reducing Bias in Preference Aggregation for Multiagent
    Soft Constraint Problems”. In: Proc. 25th Intl. Conf. “Principles and Practice of Constraint
    Programming” (CP 2019). Springer. 2019, pp. 510–526.
  • G. Anders, A. Schiendorfer, F. Siefert, J.-P. Steghöfer, and W. Reif. “Cooperative Resource
    Allocation in Open Systems of Systems”. In: ACM Transactions on Autonomous and Adaptive
    Systems (June 2015), 11:1–11:44.