Tobias Lehrer

Tobias Lehrer is a Doctoral Candidate at the Chair of Computational Solid Mechanics at the Technical University of Munich since 2023. His research focuses on integrating machine learning with computational mechanics for manufacturing optimization.

• 2023 - Present: Doctoral Candidate, Chair of Computational Solid Mechanics, TU Munich
• 2020 - 2023: Doctoral Candidate, Laboratory of Finite-Element-Method, OTH Regensburg
• 2018 - 2020: M.Sc. in Mechanical Engineering, OTH Regensburg

His research interests span machine learning, surrogate modeling, data augmentation, synthetic data, generative AI, sheet metal forming, and sensitivity analysis. His publications emphasize deep drawing processes, parametric CAD modeling, and surrogate-based optimization for manufacturability assessment. Key projects include AMEDEO and eEgO, aiming to enhance early-stage prediction of sheet metal part feasibility through simulation-driven machine learning frameworks.

In teaching, Tobias has led courses on structural optimization, computational mechanics for car body design, and structural mechanics modeling. His work bridges computational methods with industrial applications, particularly in automotive manufacturing.