Marius Yamakou

Dr. Marius Yamakou

Faculty of Sciences
Department of Data Science (DDS)

Assistance

Andrea Hoppe

More › Details for Andrea Hoppe

Office hours: By appointment via email.

  • 04/2021 –  present: Researcher and Lecturer, Department of Data Science, FAU Erlangen-Nürnberg
  • 10/2024 – 03/2025: Interim Professor, Department of Data Science,  FAU Erlangen-Nürnberg
  • 11/2019 – 03/2021: Postdoctoral Researcher, Department of Mathematics, FAU Erlangen-Nürnberg
  • 02/2018 – 10/2019: Postdoctoral Researcher, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany

  • 24/03/2025 – 05/04/2025: INRIA Research Centre, Université de Montpellier, France
  • 18/08/2024 – 27/08/2024: Centre for Mathematical Sciences, Lund University, Sweden
  • 28/05/2023 – 03/06/2023: Centre for Mathematical Sciences, Lund University, Sweden
  • 12/02/2023 – 23/02/2023: Perimeter Institute for Theoretical Physics, Waterloo, Canada
  • 05/12/2022 – 18/12/2022: Department of Mathematics, Brandeis University, Massachusetts, USA
  • 01/10/2022 – 30/10/2022: INRIA Research Centre, Université Côte d’Azur, France
  • 01/02/2019 – 30/04/2019: Department of Applied Mathematics, Technical University of Denmark, Denmark

  • 04/2025 – 06/2025: Funding for scientific outreach activity in Data Science, ∼ € 1.6K
  • 04/2021 – 03/2023: DFG Research Grant as sole Principal Investigator (Project No. 456989199),  ∼ € 200K
  • 10/2014 – 02/2018: IMPRS Scholarship, Max Planck Institute for Mathematics in the Sciences, Leipzig

My research integrates applied mathematics, theoretical physics, and machine learning to analyze and control complex dynamical systems—such as neurons in brain networks—through data-driven modeling. A central goal is to uncover the governing equations of these systems and develop control strategies by merging modern data science techniques with rigorous dynamical systems theory and statistical physics. Applications include principled interventions in neuroscience and advancing the fundamental understanding of emergent phenomena in complex systems.

  • Dynamical system theory and nonlinear dynamics
  • Statistical physics and stochastic analysis
  • Geometric singular perturbation theory
  • Mathematical neuroscience, neuronal and brain dynamics
  • Data-driven methods and inference in dynamical systems
  • Bayesian methodology for high-dimensional and complex data
  • Chaos- and noise-induced resonance and synchronization phenomena
  • Self-organization and critical dynamics in  adaptive neural network
  • Spiking neural networks (SNN) and their applications
  • Convolutional neural networks (CNN), recurrent neural networks (RNN)
  • Port-Hamiltonian neural networks (pHNN)
  • Physics-informed neural network (PINN) and constrained optimization
  • Neuroscience-inspired machine learning: liquid-state machines & echo-state networks
  • In particular, the interfaces between the above fields!

  • 04/2020 – present: Departments of Mathematics and Data Science, FAU Erlangen-Nürnberg
    • Lecture and exercise classes: Theory of Neural Dynamics and Applications to Machine Learning, SS 25
    • Lecture: Selected Topics in Mathematics of Learning, WS 24/25
    • Invited Lecture: Machine learning and physics-informed neural networks,  FAU Research Training Group FRASCAL (fracture across scales), WS 25
    • Lecture and exercise classes: Dynamical System Theory for Data Scientists, WS 24/25
    • Lecture and exercise classes: Theory of Neural Dynamics and Applications to Machine Learning, SS 24
    • Lecture and exercise classes: Dynamical System Theory for Data Scientists, WS 23/24
    • Lecture and exercise classes: Theory of Neural Dynamics and Applications to Machine Learning, SS 23
    • Exercise classes: Mathematics for Engineers: Stochastics, SS 20
  • 02/2019 – 04/2019: Department of Applied Mathematics, Technical University of Denmark
    • Lecture and exercise classes: Dynamical Systems 2 (M.Sc. course)
  • 10/2016 – 10/2017: Max Planck Institute for Mathematics in the Sciences, Leipzig
    • Seminar lecture series: 5 lectures on Stochastic Neural Dynamics
  • 10/2012 – 06/2013: Department of Physics, University of Buea
    • Exercise classes: PHY 202: Newtonian Mechanics
    • Exercise classes: PHY 207: Mathematical Methods for Physics 1
    • Exercise classes: PHY 301: Analytical Mechanics
    • Exercise classes: PHY 306: Mathematical Methods for Physics 2

I’m open to brainstorming master’s thesis topics that could grow into a publishable, high-quality journal article. I’m also happy to supervise master’s theses conducted in collaboration with industry partners.

  • 2025 – present: Alina Schlabritz, Optimization of noise-induced resonances on simplicial complexes: Application in computational neuroscience
  • 2025 – present: Divyesh Savaliya,  A self-induced stochastic resonance problem: A physics-informed neural network approach
  • 2025 – present: Behnam Babaeian, Asymptotic stability of a chaotic synchronization manifold using a rigorous stability proof and port-Hamiltonian physics-informed neural networks

  • 06/2024: International Conference on Mathematical Neuroscience, Centre de Recerca Matemàtica, Barcelona, Spain
  • 04/2025: Mathematical Neuroscience Seminar, INRIA Research Center, University of Montpellier, France
  • 10/2024: Biointerfaces Seminar,  Laboratory of Biointerfaces, Dept. of Chemistry and Pharmacy, FAU, Erlangen
  • 08/2024: International Workshop on Network Dynamics, Centre for Mathematical Sciences, Lund University, Sweden
  • 07/2024: International Conference – XLIV Dynamics Days Europe, Bremen, Germany
  • 06/2024: International Conference on Mathematical Neuroscience, University College Dublin, Ireland
  • 11/2023: Workshop: Dynamics in Coupled Networks, Weierstrass Institute for Applied Analysis & Stochastics, Berlin
  • 10/2023: Computational Neuroscience Seminar: University College London (UCL), London, United Kingdom
  • 07/2023: 32nd Annual Meeting, Organization for Computational Neurosciences, Leipzig, Germany
  • 06/2023: Dynamical Systems Seminar, Centre for Mathematical Sciences, Lund University, Sweden
  • 05/2023: Seminar of Statistical Learning and Dynamical Systems, ScaDS.AI Institute, Uni. of Leipzig, Germany
  • 05/2023: SIAM Conference on Applications of Dynamical Systems, Portland, Oregon, USA
  • 03/2023: Dynamical Systems Seminar, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
  • 02/2023: Dynamical systems seminar, Department of Applied Mathematics, University of Waterloo, Canada
  • 02/2023: 14th Conference on Dynamical Systems Applied to Biology and Natural Sciences, Bilbao, Spain
  • 12/2023: Dynamical Systems in Neuroscience seminar, Brandeis University, Waltham, Massachusetts, USA
  • 11/2022: International Conference  Control of Self-Organizing Nonlinear Systems, Potsdam, Germany
  • 10/2022: Conference on Complex Systems, Palma de Mallorca, Spain
  • 09/2022: Workshop on Control of Self-Organizing Nonlinear Systems, Wittenberg, Germany
  • 06/2022: 7th International Conference on Random Dynamical Systems, Hanoi, Vietnam
  • 05/2022: Nonlinear Dynamics Seminar,  Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
  • 09/2021: International Conference on Stochastic Resonance, Perugia, Italy
  • 05/2021: SIAM Conference on Applications of Dynamical Systems, Portland, USA
  • 11/2020: Mini-workshop on Neuronal Dynamics, University of Erlangen-Nürnberg, Germany
  • 08/2020: XL. Dynamics Days Europe, Nice, France
  • 02/2020: Oberseminar: Dynamics, Department of Mathematics, Technical University of Munich, Germany
  • 09/2019: 15th Seminar on Stochastic and Collective Effects in Neural Systems, University of Granada, Spain
  • 07/2019: Workshop on Oscillations, Transients, and Fluctuations in Complex Networks, University of Copenhagen
  • 09/2018: Bernstein Conference on Computational Neuroscience, Technical University of Berlin, Germany
  • 07/2018: 27th Annual Meeting, Organization for Computational Neurosciences, Seattle, USA
  • 05/2018: Seminar: Dynamics and Control of Complex Networks, Inst. of Theoretical Physics, Technical University of Berlin
  • 06/2018: 4th International Conference on Mathematical Neuroscience, Juan-les-Pins, France
  • 03/2018: Deutsche Physikalische Gesellschaft (DPG) Spring Meeting, Berlin, Germany
  • 09/2017: Bernstein Conference on Computational Neuroscience, University of Göttingen, Germany
  • 05/2017: SIAM Conference on Applications of Dynamical Systems, Snowbird, Utah, USA
  • 11/2016: 3rd Dresden-Leipzig Dynamics Day, Technical University of Dresden, Dresden, Germany
  • 06/2015: Workshop: Dynamics of Multi-Level Systems, Max Planck Institute for Physics of Complex Systems, Dresden

  • 04/2025: Co-organizer of the Conference on Women in Data Science, FAU, Erlangen
  • 04/2024: Co-organizer of the Conference on Women in Data Science, FAU, Erlangen
  • 04/2023: Co-organizer of the Conference on Women in Data Science, FAU, Erlangen
  • 03/2020 – 07/2021: Organizer of the Online Seminar Series on Dynamics and Control (93 talks), FAU
  • 11/2020: Organizer of the Mini-workshop on Neuronal Dynamics (3 talks), FAU, Erlangen
  • 11/2020: Organizer of the Mini-workshop on Robots Learning, Optimization & Control (4 talks), FAU, Erlangen
  • 10/2020: Organizer of the Mini-workshop on Hyperbolic Problems (5 talks), FAU, Erlangen

  • 03/2025: Der Tag der  Mathematik, Department Mathematik, FAU, Erlangen
  • 06/2016: Science Communicator at the  Lange Nacht der Wissenschaften 2016, Inselstrasse 22, Leipzig

  • AIP Advances
  • Applied Physics and Engineering
  • Applied Physics Letters
  • Applications of Mathematics
  • Brain Sciences
  • Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Chaos, Solitons and Fractals: The Journal of Nonlinear Science, Nonequilibrium and Complex Phenomena
  • Cognitive Neurodynamics
  • Communications in Nonlinear Science and Numerical Simulations
  • Discrete Dynamics in Nature and Society
  • European Physical Journal Plus
  • European Physical Journal Special Topics
  • Fluctuation and Noise Letters
  • Frontiers in Computational Neuroscience
  • Journal of Computational and Nonlinear Dynamics
  • Journal of Mathematical Biology
  • Journal of  Sound and Vibration
  • International Journal of Bifurcation and Chaos
  • Mathematics (ISSN 2227-7390)
  • Mathematical Methods in the Applied Sciences
  • Neural Processing Letters
  • Neural Networks
  • Nonlinear Dynamics: An International Journal of Nonlinear Dynamics and Chaos
  • Physica A: Statistical Mechanics and its Applications
  • Physica D: Nonlinear Phenomena
  • Physical Review E
  • Physics Letters A
  • Reviews of Modern Physics