Dr. Stephan Peter
  • 03.00.24
Stephan Peter


Dienstag: 14.00 - 15.00 Uhr

und nach Vereinbarung (per Email)


  • Mathematics I for Industrial Engineers, E-Commerce and Digital Economy
  • Algebra for Electrical and Computer Engineers
  • Applied Mathematics for Industrial Engineers, E-Commerce and Digital Economy

Nathal Energy supply container

The collaboration between Nathal Energy (Self sufficient supply station - Nathal Energy (nathal-energy.com)), EAH & Uni Jena and Gust Kuwait includes various activities, which have resulted in, among others:

The supply containers were developed through the use of the Nathal Method and would not exist without it. With each use of the containers, a training program is associated with the Nathal method, which should enable future generations in particular to master the coming, more complex challenges.

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Persistent subspaces of reaction-diffusion systems

Reaction-diffusion systems use partial differential equations to model dynamics basing on reactions in time and space. For several reasons, analytical as well as numerical solutions of such systems are hard to acquire. The theory of organizations developed in a recent publication provides measures to identifiy all persistent subspaces of these systems even when they are comparatively big and precise knowledge about the kinetics is missing. An overview of the theory without proofs together with examples can be found in a paper entitled "Persistent subspaces of reaction-based dynamical systems". An example application of the theory of organizations is virus infection dynamics. 

Virus infection dynamics

Models of virus infection dynamics are used to understand the dynamics of virus infection, to find optimal treatment strategies for patients or to help in identifying vaccinations. In our last publication we applied the theory of organizations mentioned above to Influenza-A and Sars-COV-II models of infection dynamics. In this way, we identifed and described many different types of models using a precise mathematical method. This might help in building and analyzing more complex models in future.