Jan Schneider

• Schneider, J.; Berberich, J.: Using quantum computers in control: interval matrix properties. In: Proceedings of the 22nd European Control Conference (ECC24), Stockholm, 2024.
• Könecke, T.; Schneider, J.; Hanss, M.: Sampling-Based Possibility Theory for Engineering Analysis Under Uncertainty: Inference, Prediction and Optimization. In: Proceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025), Stavanger, 2025.
• Elangasinghe, A.; Könecke, T.; Schneider, J.; Rosenfelder, M.; Hanss, M.; Eberhard, P.: Possibilistic Filtering and Control of a Highly Dynamic Mechanical System in the Presence of Uncertainty, 2025. (submitted)
• Schneider, J.; Könecke, T.; Hanss, M.: Possibilistic Neural Networks: Reliable Confidence Predictions Under Limited Data. In: Proceedings of the 6th International Conference on Uncertainty Quantification in Computational Science and Engineering (UMCECOMP 2025), Rhodes, 2025.
• Schneider, J.; Könecke, T.; Hanss, M.: Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory. In: Proceedings in Applied Mathematics and Mechanics (PAMM 2025), Poznan, 2025. (submitted)
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• 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?".

• 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. (ongoing)
• 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.

• supervision of experiment Controller Design for a Model Railway (ST 2024, ST 2025)

• supervision of the seminar in Phsysics Engines in Mechanics (AM IV) (ST 2024)

• organization of post-exam review (WT 2024)

Snacks and Drinks