Teaching

Lectures

Learning-based Control Seminar

DSME - RWTH Aachen University | WS2025, WS2023, WS2022, WS2021

Artificial Intelligence and Data Analytics for Engineers

IMA (Cybernetics Lab) - RWTH Aachen University | SS2020, SS2019

RWTH International Academy Seminars

RWTH Aachen University | 2018 – 2019

  • “Production Technology Meets Industry 4.0” — 1-week summer school (August 2019)
  • “Smart Factories” — 1-week winter school (February 2019)
  • “Smart Engineering for Smart Factories” — 1-week winter school (June 2018)
  • “Industry 4.0” — 1-week winter school (April 2018)

Mechatronic Design

EIA University | Colombia | 2014

Talks

Invertible Neural Networks in Production

Keio International Mini-Symposium | November 2020

Supervised Theses

TBD

Lukas Haverbeck | Master Thesis | 2026

Foundation Models for Industrial Time Series

Noah Drein | Master Thesis | 2026

Semi-Supervised Learning Approaches for Fault Detection and Isolation in Automotive Powertrain Systems

Jonas Kneppe | Master Thesis | Co-supervisor: Tobias Brinkmann | 2025

Combining Foundation Models with Classical State Estimation

Tobin Holtmann | Master Thesis | Co-supervisor: David Stenger | 2025

Foundation Models for Dynamical Systems

Martin Ziegler | Master Thesis | Co-supervisor: Friedrich Solowjow | 2024

AI Enhanced Fatigue Strength Prediction for Ductile Cast Iron

Yao Yao | Master Thesis | Co-supervisor: Felix Weber | 2022

Application of Explainable Artificial Intelligence (XAI) for Time Series Data in Industrial Robotics

Tobias Kastenholz | Master Thesis | Co-supervisor: Minh Trinh | 2022

Classifying deformation behavior in crash analysis using spatial-temporal information from few samples

Revan Kumar Dhanasekaran | Master Thesis | 2021

Establishing Interpretability of Neural Networks for Time Series Sensory Data Analysis

Nils Hütten | Master Thesis | 2021

Assessment of a machine learning model for defect detection in steel production

Antonia Holzapfel | Bachelor Thesis | 2021

Model-Based Object Tracking using Robust Gaussian Filters on RGB-D Images of a Moving Camera

Tobias Vogel | Bachelor Thesis | Co-supervisor: Henrik Hose | 2021

An Automatic Approach for Global Interpretability of Image-Based Classification

Nikita Surya | Master Thesis | 2020

Extracting Human-Understandable Highlevel Concepts from Deep Learning Based Classification Models for Industrial Use Cases Utilizing Concept Activation Vectors

Lukas Kreisköether | Master Thesis | 2020

Analysis of Hierarchical Reinforcement Learning for Robotics

Malte Mosbach | Master Thesis | 2020

Investigation of Behavior in Deep Reinforcement Learning Agents via Activation Pattern Analysis

Melanie Lu | Master Thesis | 2019