Short CV

• since 05/2020: Research Assistant, School of Business and Mathematics, University of Mannheim
• 03/2020: M.Sc. in Business Mathematics, University of Mannheim
• 10/2017: B.Sc. in Business Mathematics, University of Mannheim
• 08/2016–01/2017: Erasmus stay at University of Oslo, Norway
• 08/2014–03/2020: Studies in Business Mathematics, University of Mannheim
• 07/2014: Graduated from Handelslehranstalt Rastatt (Abitur)

Teaching

• HWS 2024: Numerical Methods for Ordinary Differential Equations
• HWS 2023: Numerics (Tutorial)
• FSS 2023: Analysis for Business Informatics (Tutorial)
• FSS 2023: Numerical Methods for Partial Differential Equations (Tutorial)
• FSS 2023: Applications of Scalar Conservation laws (Tutorial)
• HWS 2022: Numerics (Tutorial)
• HWS 2022: Numerical Methods for Ordinary Differential Equations (Tutorial)
• FSS 2022: Numerical Methods for Partial Differential Equations (Tutorial)
• FSS 2022: Seminar Modeling and Simulation
• HWS 2021: Numerics (Tutorial)
• HWS 2021: Numerical Methods for Ordinary Differential Equations (Tutorial)
• FSS 2021: Analysis for Business Informatics (Tutorial)
• FSS 2021: Seminar Modeling and Simulation
• HWS 2020: Numerics (Tutorial)
• HWS 2020: Numerical Methods for Ordinary Differential Equations (Tutorial)

Conferences and Workshops

• SIAM Conference on Uncertainty Quantification, February 2024, Triest; Talk: Applications of UQ in Accident Traffic Models
• UM-Bridge-Workshop, December 2023, online; Talk: Traffic accident models and ideas for uncertainty quantification
• PGMODays, November 2023, Paris; Talk: Control Strategies for Transport Networks under Demand Uncertainty with extensions to Bilevel Optimization
• Recent Trends in Optimization and Control, September 2023, Pretoria; Talk: Control Strategies for Transport Networks under Uncertain Demand
• 93rd Annual Meeting of GAMM, June 2023, Dresden; Talk: Inverse demand tracking in transportation networks
• Numerics in Baden-Württemberg, Mai 2023, Freiburg; Talk: Uncertainty quantification for traffic models
• International Workshop on Moment Methods in Kinetic Theory IV, April 2023, Karlsruhe; Poster presentation: Random traffic models on different scales
• Mat-Dyn-Net Workshop: Heating up Networks – Analysis Meets Applications, October 2022, Kaiserslautern; Talk: Control Strategies for Serial Networks under Uncertain Demand
• 25th International Symposium on Mathematical Theory of Networks and Systems, September 2022, Bayreuth; Talk: Control Strategies for Serial Networks under Uncertain Demand
• XVIII International Conference on Hyperbolic Problems: Theory, Numerics, Applications, June 2022, Málaga; Talk: A traffic flow model and the self-excitation property of accidents
• French German Portugese Conference on Optimization 2022, May 2022, Porto; Talk: Control Strategies for Supply Networks under Uncertain Demand
• Rhein-Main Arbeitskreis Mathematics of Computation, April 2022, Marburg; Talk:Control Strategies for Supply Networks under Uncertain Demand
• 13^th International Conference on Monte Carlo Methods and Applications, August 2021, Mannheim (virtual); Talk: Microscopic and macroscopic traffic flow models including random accidents: Theory and numerical simulations
• VI ECCOMAS Young Investigators Conference, July 2021, Valencia (virtual); Talk: Microscopic and macroscopic traffic flow models including random accidents

Publications

Preprints

• S. Göttlich, T. Schillinger, A. Tosin – Probabilistic modelling of car traffic accidents – arXiv preprint, September 2024.
• S. Göttlich, T. Schillinger – Data-inspired modeling of accidents in traffic flow networks – arXiv preprint, May 2023
• S. Göttlich, T. Schillinger – Stochastic optimal control for nonlinear damped network dynamics – arXiv preprint, February 2022.

Articles

• S. Göttlich, P. Mehlitz, T. Schillinger – Inverse demand tracking in transportation networks – accepted to Mathematical Methods of Operations Research (MMOR), August 2024.
• F. Chiarello, S. Göttlich, T. Schillinger, A. Tosin (2024) – Hydrodynamic traffic flow models including random accidents: A kinetic derivation – Communications in Mathematical Sciences, Vol. 22, No. 3 (2024), pp. 845–870
• S. Göttlich, T. Schillinger (2022) – Control strategies for transport networks under demand uncertainty. Advances in Computational Mathematics : AICM, 48, pp. 1–33.
• S. Göttlich, T. Schillinger (2021) – Microscopic and Macroscopic Traffic Flow Models including Random Accidents – Communications in Mathematical Sciences, Vol. 19, No. 6 (2021), pp. 1579-1609