Curriculum Vitae

Roland Stolz joined the Cyber-Physical Systems Group as a PhD candidate under the supervision of Prof. Dr.-Ing. Matthias Althoff in June 2023. Previously, he studied Medical Engineering at the Friedrich-Alexander University Erlangen-Nuremberg. in 2022 he visited the Universtiy of Washington in Seattle, to perform research for his Master's thesis about Representation Learning on Sports Movement Data.

His current research focuses on safeguarding reinforcement learning using formal methods and set-based predictions - primarily in the context of autonomous driving. Furthermore, he is the lead developer of the data warehouse for the research vehicle EDGAR.

He is a member of the DFG-funded Collaborative Research Center CRC/SFB 1608 Convide.

Offered Thesis Topics

I am always looking for self-motivated students who are interested in writing a thesis related to my area of research. If you are considering one of the currently offered topics or want to discuss your own research idea, please get in touch via email including your CV, transcript of records, and a brief statement of your motivation.

Currently available

[MT/BT] Set-based reinforcment learning - implementation and evaluation

[BT] n-dimensional reach-avoid environment for reinforcement learning - implementation and evaluation

Ongoing

Finished

[MA] Anomaly Detection for The Violation of Traffic Rules using Representation Learning

Teaching

• Practical Course – Motion Planning for Autonomous Vehicles (MPFAV)

  • WiSe 23/24 - Conformance Checking of SONIA on the Mona Dataset
  • WiSe 23/24 - EDGAR Data Warehouse (co-supervised with Sebastian Maierhofer)

• Lecture – Fundamentals of AI

  • WiSe 23/24 - Programming Exercises