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Stephan Pareigis

Professor of Applied Mathematics and Technical Computer Science

University of Applied Sciences Hamburg

Stephan Pareigis is a professor of mathematics and technical computer science at University of Applied Sciences Hamburg. He is currently head of the department computer science.

He is founder and speaker of the autosys research lab. His research interests include autonomous and intelligent systems and robotics.

Selected Publications:

  • Pareigis, S., Hermosilla-Diaz, J. E., Reyes-Montiel, J., Maaß, F., Haase, H., Mang, M., & Marin-Hernandez, A. (2023, November). Offline Feature-Based Reinforcement Learning with Preprocessed Image Inputs for Liquid Pouring Control. In International Conference on Informatics in Control, Automation and Robotics 2023 (pp. 320-326). ScitePress.

  • Pareigis, S. and Maaß, F. (2023). Improved Robust Neural Network for Sim2Real Gap in System Dynamics for End-to-End Autonomous Driving, Informatics in Control, Automation and Robotics : 19th International Conference, ICINCO 2022 Lisbon, Portugal, July 14–16, 2022 ; Revised Selected Papers

  • Pareigis, S. et al. (2023). Artificial Intelligence in Autonomous Systems. A Collection of Projects in Six Problem Classes. In: Unger, H., Schaible, M. (eds) Real-time and Autonomous Systems 2022. Real-Time 2022. Lecture Notes in Networks and Systems, vol 674. Springer, Cham. https://doi.org/10.1007/978-3-031-32700-1_14

  • Pareigis, S. and Maaß, F. (2022). Robust neural network for sim-to-real gap in end- to-end autonomous driving. In International Conference on Informatics in Control, Automation and Robotics 2022, Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2022), pages 113–119

  • Tiedemann, T., Schwalb, L., Kasten, M., Grotkasten, R., and Pareigis, S. (2022). Miniature autonomy as means to find new approaches in reliable autonomous driving ai method design. Frontiers in neurorobotics, 16:846355.

  • Pareigis, S., Tiedemann, T., Kasten, M., Stehr, M., Schnirpel, T., Schwalb, L., and Burau, H. (2021). Künstliche intelligenz in der miniaturautonomie. In Fachtagung des gemeinsamen Fachausschusses Echtzeitsysteme von Gesellschaft für Informatik e.V. (GI), VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA) und In- formationstechnischer Gesellschaft im VDE (ITG) 2020, Informatik aktuell, pages 41–50.

  • Tiedemann, T., Fuhrmann, J., Paulsen, S., Schnirpel, T., Schönherr, N., Buth, B., and Pareigis, S. (2019b). Miniature autonomy as one important testing means in the development of machine learning methods for autonomous driving : How ml-based autonomous driving could be realized on a 1:87 scale. In International Conference on Informatics in Control, Automation and Robotics 2019, ICINCO 2019 : proceed- ings of the 16th International Conference on Informatics in Control, Automation and Robotics, pages 483–488.

  • Pareigis, S., Tiedemann, T., Kasten, M., Stehr, M., Schnirpel, T., Schwalb, L., and Burau, H. (2021). Künstliche intelligenz in der miniaturautonomie. In Fachtagung des gemeinsamen Fachausschusses Echtzeitsysteme von Gesellschaft für Informatik e.V. (GI), VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA) und In- formationstechnischer Gesellschaft im VDE (ITG) 2020, Informatik aktuell, pages 41–50.

  • Pareigis, S., Tiedemann, T., Fuhrmann, J., Paulsen, S., Schnirpel, T., and Schönherr, N. (2019). Miniaturautonomie und echtzeitsysteme. In Fachtagung des gemein- samen Fachausschusses Echtzeitsysteme von Gesellschaft für Informatik e.V. (GI), VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik (GMA) und Informa- tionstechnischer Gesellschaft im VDE (ITG) 2019, Informatik aktuell.

  • Tiedemann, T., Fuhrmann, J., Paulsen, S., Schnirpel, T., Schönherr, N., Buth, B., and Pareigis, S. (2019b). Miniature autonomy as one important testing means in the development of machine learning methods for autonomous driving : How ml-based autonomous driving could be realized on a 1:87 scale. In International Conference on Informatics in Control, Automation and Robotics 2019, ICINCO 2019 : proceed- ings of the 16th International Conference on Informatics in Control, Automation and Robotics, pages 483–488.

Brief biography:

  • since 2018 Departmentleitung Informatik
  • 2005-2018 Vorsitzender des Prüfungsausschusses Informatik
  • since 2005 Gründung und Leitung der Forschungsgruppe Fahrassistenz- und Autonome Systeme, später autosys research lab
  • since 2004 Professor für Angewandte Mathematik und Technische Informatik an der HAW Hamburg
  • 1998-2004 Embedded Software-Entwickler bei Heidelberger Druckmaschinen AG, später Nexpress GmbH Kiel
  • 1993-1998 Wissenschaftlicher Mitarbeiter C1 am Institut für Informatik und Praktische Mathematik an der CAU Universität Kiel
  • Promotion Dr.rer.nat im Bereich Numerische Methoden im Reinforcement Learning
  • 1992-1993 Promotionsstipendiat Technomathematik, Universität Kaiserslautern
  • 1992 Diplom Mathematiker mit Nebenfach Informatik, LMU München
  • 1989-1992 Software-Entwickler CAESAR Datensysteme München
  • 1987-1989 Software-Entwickler Siemens AG München

Teaching areas:

  • Diskrete Mathematik
  • Analysis und Lineare Algebra
  • Algorithmen und Datenstrukturen
  • Embedded Programming
  • Embedded Machine Learning
  • Reinforcement Learning

Interests

  • Autonomous and Intelligent Systems and Robotics
  • Embedded Reactive and Real-Time Programming
  • Reinforcment Learning
  • Embedded Machine Learning

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