
Case 01 · crash-ai
Outliers in the Crash
ANOMALY DETECTION · 3D · UNSUPERVISED
2022 — present · Kube GmbH · for Porsche AG
Large-scale crash studies produce thousands of finite-element simulations. Monitoring them by hand is slow and inconsistent; the dangerous case is the one nobody noticed.

I built methods that learn a low-dimensional representation of each simulation and detect anomalous deformation behaviour automatically — geometric deep learning on the mesh, anomaly scoring on the embeddings.
The work became a method, then a paper, then production tooling that surfaces the simulation an engineer needs to look at.
apparatus
- PyTorch
- Geometric Deep Learning
- PointNet++
- Autoencoders
scale
10³+ sims / study
published
International Journal of Crashworthiness, 2022
Method for Automated Detection of Outliers in Crash Simulations · with Dr. David Kracker
Read the paper →