Dr. Marius Yamakou

Dr. Marius Yamakou

Department of Data Science (DDS)
Lehrstuhl für Dynamics, Control and Numerics (Alexander von Humboldt-Professur)

Raum: Raum 02.344
Cauerstr. 11
91058 Erlangen

  • Stochastic and nonlinear phenomena in complex systems
  • Mathematical and computational neuroscience
  • Noise, chaos, solitons, synchronization, and chimera in neural systems
  • Spatio-temporal patterns in neural field equations
  • Network dynamics, control, and optimization
  • Stochastic dynamical systems theory and bifurcation analysis
  • Geometric singular perturbation theory
  • Numerical methods, simulations and data analysis
  • The interfaces between the above fields
  • … with enthusiastic collaborations with experimental neuroscientists

  • 04/2020 – Now: Teaching Assistant, Department Mathematik, Friedrich-Alexander-Universität Erlangen-Nürnberg
    • Exercise class: Mathematics for Engineers C4: INF, SS 2020
  • 02/2019 – 04/2019: Visiting Lecturer, Department of Applied Mathematics, Technical University of Denmark
    • Lecture: Dynamical Systems 2 (M.Sc. level, jointly with Prof. Dr. Erik Martens)
    • Exercise class: Dynamical Systems 2
  • 10/2016 – 10/2017: Lecturer, Max Planck Institute for Mathematics in the Sciences
    • Seminar series: 5 Lectures on Stochastic Neuronal Dynamics
  • 10/2012 – 06/2013: Teaching Assistant, Department of Physics, University of Buea
    • Exercise class: Classical mechanics 1 (Lower B.Sc. Course)
    • Exercise class: Classical mechanics 2 (Advanced B.Sc. Course)
    • Exercise class: Mathematical methods for physics 1 (Lower B.Sc. Course)
    • Exercise class: Mathematical methods for physics 2 (Advanced B.Sc. Course)

Friedrich-Alexander-Universität Erlangen-Nürnberg