Research Topic:

HPC-based Simulation of Agent-Based Models and Complex Networks, Opinion Dynamics and Polarization

Supervisors:

Prof. Christof Schütte (ZIB), Dr. Nataša Djurdjevac Conrad (ZIB)

Thesis Abstract:

My research focuses on the the simulation and development of Agent-Based Models (ABMs) in the social sciences. I work on and apply existing techniques from the areas of high-performance computing to enable the simulation and control of large scale ABMs as tools to model complex phenomena.

Publications:

•"Reducing polarization in Agent-Based Models of Opinion Dynamics using Optimal Control and Reinforcement Learning