Prof. Dr. Simone Göttlich

Prof. Dr. Simone Göttlich

Room C 311
Tel.: +49 621 181 2438
E-Mail: goettlich

Research Interests

  • Multiscale Modeling: from Particles to Continuum Dynamics
  • Numerical Simulation and Data-Driven Approaches
  • Control and Optimization

Short CV

  • since 2019: Elected member of the Senate of the University of Mannheim
  • since 2014: Elected member of the School Council (WIM), University of Mannheim
  • 2012-2015: Equal opportunities commissioner of the University of Mannheim
  • since 2011: Full Professor (W3) at School of Business Informatics and Mathematics (WIM), University of Mannheim
  • 2011: Habilitation in Mathematics, TU Kaiserslautern
  • 2009-2011: Akademischer Rat auf Zeit (former C1 Assistant Professor) at Dept. of Mathematics, TU Kaiserslautern
  • 2007: PhD in Mathematics with Prof. Axel Klar and Prof. Christian Ringhofer, TU Kaiserslautern
  • 2004-2009: Research Assistant at Dept. of Mathematics, TU Kaiserslautern
  • 2004: Research Assistant at Dept. of Mathematics, TU Darmstadt
  • 2003: Diploma in Mathematics with Prof. Axel Klar, TU Darmstadt
  • 1999-2003: Studies in Mathematics with focus on Economics, TU Darmstadt

Research stays abroad within the international programs of DAAD: Université Paul Sabatier (Toulouse, France), Arizona State University (Phoenix, USA), Heriot-Watt University (Edinburgh, UK), INRIA Sophia Antipolis – Méditerranée (Nice, France). 

Supervising: 71 completed Bachelor theses, 45 completed Master theses, 16 completed PhD dissertations (see also Mathematics Genealogy Project)

Funded Research Projects: see Projects

Short publication list: 2 Books, 85 refereed journal articles, 40 conference items and book sections


See also  MathSciNet  ORCID  zbMATH   Google Scholar  ResearchGate  arXiv  DBLP

Recent Work/Preprints

  1. J. Friedrich, S. Göttlich, A. Uphoff – Conservation laws with discontinuous flux function on networks: a splitting algorithm – arXiv preprint, April 2022.
  2. L. Chen, S. Göttlich, N. Zamponi – Bounded weak solution and long time behavior of a degenerate particle flow model – arXiv preprint, April 2022.
  3. S. Göttlich, T. Schillinger – Stochastic optimal control for nonlinear damped network dynamics – arXiv preprint, February 2022.
  4. S. Göttlich, T. Schillinger – Control Strategies for Transport Networks under Demand Uncertainty – arXiv preprint, November 2021.
  5. A. Würth, M. Binois, P. Goatin, S. Göttlich – Data driven uncetainty quantification in macroscopic traffic flow models – HAL preprint, November 2021.
  6. E. Fokken, S. Göttlich – On the relation of powerflow and Telegrapher's equations: continuous and numerical Lyapunov stability – arXiv preprint, January 2021.

Accepted Journal Publications/Proceedings/Book Chapters (listed in MADOC)

  1. C. Totzeck, S. Göttlich – Parameter calibration with Consensus-based Optimization for interaction dynamics driven by neural networks – accepted to ECMI Proceedings, 2022.
  2. E. Fokken, S. Göttlich, M. Herty – Efficient simulation of coupled gas and power networks under uncertain demands – accepted to European Journal of Applied Mathematics (EJAM), March 2022.
  3. J. Weissen, O. Kolb, S. Göttlich - A combined first and second order model for a junction with ramp buffer – accepted to SMAI Journal of Computational Mathematics, February 2022.
  4. J. Friedrich, S. Göttlich, M. Osztfalk – Network models for nonlocal traffic flow – ESAIM: Mathematical Modelling and Numerical Analysis, Vol. 56(1), pp. 213–235. 2022.
  5. S. Göttlich, C. Totzeck – Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks – accepted to Mathematics of Control, Signals, and Systems (MCSS), October 2021.
  6. J. Weissen, S. Göttlich, C. Totzeck - Space mapping-based optimization with the macroscopic limit of interacting particle systems – accepted to Optimization and Engineering (OPTE), August 2021.