Ruben Schmeitz

"Uniting machine learning with mechanical engineering to innovate 3D printing, advancing it one layer at a time.''

Ruben Schmeitz is pursuing his PhD in the Mechanics of Materials (MoM) group, led by Joris Remmers, at Eindhoven University of Technology (TU/e). His research is at the crossroads of machine learning and mechanical engineering, with a particular emphasis on 3D printing. Under the supervision of Joris Remmers, with support from Olga Mula and Rob Wolfs, he aims to enhance 3D printing processes. His work is part of the CTRL-P: Compute-Train-Learn 3D Printing project within the Department of Mechanical Engineering. This project is a part of EMDAIR (Exploratory Multidisciplinary AI Research), a program initiated by EAISI (Eindhoven Artificial Intelligence Systems Institute). 

Ruben Schmeitz completed his MSc degree in Mechanical Engineering in 2023, with a focus on the AI track within the Mechanics of Materials (MoM) group. His master's thesis, titled "Real-Time Simulation of Plastic Deformation Using Long Short-Term Memory Multi-Task Neural Networks," was conducted under the guidance of Olaf van der Sluis and Joris Remmers. Additionally, he gained practical experience through an internship at Philips, where he explored Physics Informed Neural Networks for the Finite Element Method. In 2023, he embarked on his Ph.D. journey, focusing on the CTRL-P.