Dongnam Ko

Dongnam Ko
[Past member] Visiting Scientist (June 27 – July 5, 2024)
The Catholic University of Korea
Funded by DFG (Deutsche Forschungsgemeinschaft / German Research Foundation) and NRF Südkorea-NRF-DFG-2023 programme
  Room 03.364 | Friedrich-Alexander-Universität Erlangen-Nürnberg. FAU DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship.
  +49 9131 85-67173
My research field covers nonlinear interacting network systems where numerous particles interact through dynamical equations, kinetic equations, and fluid dynamics.

I obtained my doctoral degree at Seoul National University, specializing in hyperbolic partial differential equations, by analyzing the progression patterns of solutions to the Cucker-Smale flocking equation.

Following that, it has been extended to mathematical control theory as a postdoctoral researcher at the University of Deusto in Spain with Professor Enrique Zuazua. Recently I have published papers on the stochastic systems, including consensus-based optimization and random interaction sampling for numerical approximations.


Control of multi-particle systems, mean-field limits, and applications to deep learning


FAU DCN-AvH Seminar: “Convergence of Consensus-Based Optimization (CBO) with Random Batch Interactions” (June 28, 2024)

My posts on Math & Research

Collective dynamics modelling, Control and Simulation

Collective dynamics modelling, Control and Simulation By Dongnam Ko Collective dynamics Herds, packs, ...

My posters

Model predictive control with random batch methods for a guiding problem

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