Most of my research is about creating machine learning
systems that further automatize industrial processes
using data from optical sensors. Particularly, I like to
develop mechanical processes build around a machine
learning model.
Projects
Relation mining
Causal relation mining on high-dimensional manufacturing
data, including images and time-series data. Here,
deep data representations are combined with
graphical models to unveil relations between
manufacturing processes.
Scrap detection
Development of enhanced automated optical inspection
systems for scrap detection. Particular focus is the
learning from very few scrap examples with synthetic
scrap-examples from generative models.