This image showsJan Schneider

Jan Schneider

M.Sc.

Institut für Technische und Numerische Mechanik (ITM)

Contact

+49 711 685 66565
 +49 711 685 66400

Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Room: V9.4.153

Subject

Uncertainty Quantification of Technical Applications

  1. Behrend, J., Könecke, T., Rosenfelder, M., Schneider, J., Hanss, M., & Eberhard, P. (2026). Possibilistic Uncertainty Modeling with Hyperellipsoids. Proceedings of the 11th International Workshop on Reliable Engineering Computing, 204–218. https://doi.org/10.17877/tudobooks-11.155
  2. Schneider, J., Könecke, T., Ebel, H., & Hanss, M. (2026). Possibilistic Filtering for Reliable Robot Localization. Proceedings of the 11th International Workshop on Reliable Engineering Computing, 193–203. https://doi.org/10.17877/tudobooks-11.157
  3. Schneider, J., Könecke, T., & Hanss, M. (2026). Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory. Proceedings in Applied Mathematics and Mechanics (PAMM), 26. https://doi.org/10.1002/pamm.70086
  4. Könecke, T., Schneider, J., & Hanss, M. (2025). Sampling-Based Possibility Theory for Engineering Analysis Under Uncertainty: Inference, Prediction and Optimization. Proceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025). https://doi.org/10.3850/978-981-94-3281-3_esrel-sra-e2025-p3044-cd
  5. Schneider, J., Könecke, T., & Hanss, M. (2025). Possibilistic Neural Networks: Reliable Confidence Predictions under Limited Data. Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Sciences and Engineering - UNCECOMP 2025. https://doi.org/10.7712/120225.12339.21200
  6. Schneider, J., Könecke, T., Ebel, H., & Hanss, M. (2024). Confident Robot Localization by Possibilistic Filtering. Proceedings of the 26th International Congress of Theoretical and Applied Mechanics - ICTAM.
  • 09. Juli 2023: International Federation of Automatic Control (IFAC), Yokohama, "Verifying Interval Matrix Properties on a Quantum Computer".
  • 15. Juli 2024: ITM Statusseminar, Monbachtal, "Everything is Possible".
  • 10. April 2025: International Association of Applied Mathematics and Mechanics (GAMM), Poznań, "Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory".
  • 16. June 2025: International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP), Rhodes, "Possibilistic Neural Networks: Reliable Confidence Predictions Under Limited Data".
  • 21. Juli 2025: ITM Statusseminar, Monbachtal, "What is actually possible?".
  • 01. Juli 2026: International Conference on Quantum Control (QCCL), Aalborg, "Incorporating Prior Knowledge of Coherent Control Errors in Quantum Algorithms via Possibility Theory".
  • 22. Juli 2026: ITM Statusseminar, Löwenstein, "The Tale of Quantum State Estimation".
  • Propagating Arbitrary Quantum Errors Efficiently Using Possibility Theory, Master Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2025.
    In co-supervision with Tom Könecke, M.Sc.
  • Bayesian Physics-informed Neural Networks for Systemidentification of dynamical Systems, Research Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2025. In co-supervision with Jakob Gesell, M.Sc. 
  • Robust Optimization-based Obstacle Avoidance for Mobile Robots, Bachelor Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2024.
    In co-supervision with Mario Rosenfelder, M.Sc. and Tom Könecke, M.Sc.
  • Uncertainty Quantification of Quantum Algorithms Using a Possibilistic Approach, Study Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2024.
    In co-supervision with Tom Könecke, M.Sc.
  • Implementation and Optimization of Neural Networks for Possibilistic Uncertainty Representation, Project Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2024.
    In co-supervision with Tom Könecke, M.Sc.
  • Using Possibility Theory to Design a Robust Optimal Control Scheme for a Highly Dynamic System, Master Thesis.
    Institute of Engineering and Computational Mechanics, University of Stuttgart, 2024.
    In co-supervision with Mario Rosenfelder, M.Sc. and Tom Könecke, M.Sc.
  • Possibilistic Uncertainty Modeling in Neural Networks, Bachelor Thesis. Institute of Engineering and Computational Mechanics, University of Stuttgart, 2024.
    In co-supervision with Tom Könecke, M.Sc.

Snacks and Drinks

Accepted publications (not yet published)

  1. Könecke, T., Schneider, J., & Hanss, M. (2026). Uncertainty Quantification Beyond Probability: Using Possibility Theory for Reliable Modal Analysis. Springer Procceding in Physics.
  2. Elangasinghe, A., Könecke, T., Schneider, J., Rosenfelder, M., Hanss, M., & Eberhard, P. (2025). Possibilistic Filtering and Control of a Highly Dynamic Mechanical System in the Presence of Uncertainty. International Journal of Fuzzy Computation and Modelling.
  • Schneider, J.; Berberich, J.: Using quantum computers in control: interval matrix properties. In: Proceedings of the 22nd European Control Conference (ECC24), Stockholm, 2024.
  • Schneider, J. Dynamic Robot Localization Using Possibilistic Filtering (Master Thesis Nos. MSC–347), 2024.
  • Schneider, J. 3D Trajectory Planning and Control for Quadrotors in the Simulation Platform AirSim (Bachelor Thesis Nos. BSC–135), 2021.
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