With his background in mechanical engineering and his machine learning skills, he is well prepared for starting the research on the DFG financed topic "Identification of the mechanical behavior and coupling with improved internal structural analysis of frozen particle fluid systems". Amirali will work with our inhouse developed DEM tool MUSEN. By doing µCT measurements and uniaxial compression tests, Amirali will work on the optimization of a creep solid bonds model and train an artifical neural network. Welcome to SPE, Amirali Khosrozadeh.