Motivation: Modeling the stochastic dynamics of diffusion processes in complex networks has many applications, e.g. modeling, understanding, predicting, and controlling the outbreak of epidemics, the spread of rumors and memes, and the interactions of interconnected neurons.
We offer several topics in this area, for instance:
Challenges: derivation of the corresponding equations; efficient implementation
Prerequisites: background in probability theory and programming
Co-Supervisor: Gerrit Großmann