teaching
lectures and seminars
Course: Computer Science in Mechanical Engineering, RWTH Aachen University, Summer 2022
TA and Co-Lecturer, complete re-desing of the course, held 4 lectures on programming basics
Seminar: Learning-Based Control, RWTH Aachen University, Winter 2021
TA, supervision of seminar papers
Course: Computer Science in Mechanical Engineering, RWTH Aachen University, Summer 2021
TA
Course: Ethics of Artificial Intelligence and Robotics, RWTH Aachen University, Summer 2021
TA, supervision of seminar papers
Seminar: Learning-Based Control, RWTH Aachen University, Winter 2021
Main TA, Planning, organization, and implementation of a new seminar on Learning-Based Control
Course: Neuroinformatics, Institute for Neuro- and Bioinformatics, University of Lübeck, Summer 2017
Student TA
Course: Mechatronics, Institute for Electrical Engineering in Medicine, University of Lübeck Winter 2016
Student TA, Organization and supervision of two student projects
student projects
Mster thesis
| Title | Student | Year | University | Â |
|---|---|---|---|---|
| Data Transfer in Robust Direct Data-Driven Control | Dmitrii Likhachev | 2023 | RWTH Aachen University | Â |
| Benchmarking Learning-Based Control and Reinforcement Learning | Tsung Yuan Tseng | 2023 | RWTH Aachen University | (project at TU Munich) |
| An approach to instance segmentation and pose estimation for automated dismantling of lithium-ion batteries for high-quality recycling | Anna-Maria Meer | 2022 | RWTH Aachen University | (project at Institut für Unternehmenskybernetik) |
| Real-Time Task and Motion Planning for Dual-Arm Robotic in a Bin-Picking Application | Ilyes Zakaria Toumi | 2022 | RWTH Aachen University | (project at Bosch Center for AI) |
| Multi-Task Active Learning for Computer Vision | Nik Dorndorf | 2022 | RWTH Aachen University | (project at École Polytechnique Fédérale de Lausanne) |
| Learning and Forgetting in Time-Varying Bayesian Optimization | Paul Brunzema | 2021 | RWTH Aachen University | Â |
| Approximate Gradient Descent with Bayesian Optimization | Sarah Müller | 2020 | University of Stuttgart |  |
Bachelor thesis
| Title | Student | Year | University | Â |
|---|---|---|---|---|
| Balancing a Two Degrees of Freedom Inverted Pendulum with a Robotic Arm | Kyrylo Sovailo | 2022 | RWTH Aachen University | (supervised jointly with Shiming He) |
| Learning Policies on a Rotatory Pendulum Using Approximate Gradient Descent with Bayesian Optimization | Reis BaltaoÄŸlu | 2021 | RWTH Aachen University | Â |
| Event Localization with Deep-Learning-based Time Series Classification for Process Monitoring in Robotics | Jonas Reiher | 2021 | RWTH Aachen University | (project at KUKA) |
research projects
| Title | Student | Year | University |
|---|---|---|---|
| Learning Safe Value Functions with the Soft Actor-Critic Algorithm | Tsung Yuan Tseng | 2022 | RWTH Aachen University |
| Sparse Approximate Gradient Descent with Bayesian Optimization | Ritesh Yadav | 2022 | RWTH Aachen University |