Thesis Topic Areas
- Hybrid Deep Learning and Planning for Safe Autonomous Driving
- Semantic Service-Based Business Process Optimisation
- Data Stream Reasoning under Uncertainty
- Service Coordination in the Quantum Internet
Selection of Open Thesis Topics
Hybrid Deep Reinforcement Learning for Multi-Pedestrian Intention-Aware Navigation of Autonomous Cars (abstract)
Hybrid Planning and Learning for Multi-Pedestrian Intention-Aware Navigation In Interactive POMDPs (abstract)
Robust Multi-Sensor Fusion-Based Multi-Pedestrian Path Prediction for Navigation Learning of Autonomous Cars (abstract)
For detailed information on any of the above themes in particular, or if you are interested in doing your master or bachelor thesis with us in general, please do not hesitate to contact us.
The concrete content and scope of work required for each of the aforementioned themes depends on the chosen type of thesis (Bachelor or Master thesis).
There is the option to start with a BSc thesis on a certain topic and, if successful, to further elaborate on related challenges in the domain in a MSc thesis.