In summer 2018 I finished my Master’s Program in Chemical and Process Engineering at Graz University of Technology with distinction. During my master's thesis, where I used CFD-DEM simulations to study the sedimentation behavior of wet gas-particle systems, I was a visiting student research collaborator at Princeton University. After the completion of my Master’s degree I started my PhD program at the Institute of Process- and Particle Engineering at Graz University of Technology, where I am currently employed as Research and Teaching Assistant.
The topic of my PhD thesis is "Physics-based Deep Learning for Advanced Multiphase Flow Prediction" and deals with the use of artificial intelligence in the simulation of multiphase flows.
Research Interests: Coarse-Graining
The starting point of my dissertation and research work, in cooperation with the group of Prof. Sundaresan of Princeton University, is the investigation of the so-called coarse-graining approach in simulations of wet gas-particle systems, where a computational particle package is considered representative of a certain number of primary particles to significantly reduce the computational demand without sacrificing accuracy (see publication list).