Curriculum Vitae

• 2026 – Present | Research Associate at the Engineering Risk Analysis Group, Technische Universität München
• 2022 – 2026 | Research Associate at the Chair of Robotics, Artificial Intelligence and Real-time Systems, Technische Universität München (project INFRA.RELEARN)
• 2020 – 2022 | Student Assistant at the Chair of Robotics, Artificial Intelligence and Real-time Systems, Technische Universität München
• 2019 – 2022 | M.Sc. in Robotics, Cognition, Intelligence, Technische Universität München
• 2016 – 2019 | B.Sc. in Information and Computer Engineering, Technische Universität Graz

Research

• Interpretable and certifiable RL policies
• Multi-agent deep reinforcement learning
• Sequential decision-making under uncertainty (POMDPs)
• Infrastructure inspection and maintenance planning

Supervised theses/projects

• Master's thesis: David Federspiel (2026) – Automating Insurance Coverage Assessment with Retrieval-Augmented Generation and Large Language Models (in collaboration with HUK-COBURG)
• Master's thesis: Berkay Kozan (2024) – Investigating the Application of Lag-Llama in Prognostics and Health Management for Engineering Systems
• Master's thesis: Junbo Leng (2024) – Extending Foundation Model Lag-Llama for Multivariate Time Series Forecasting: A Case Study with C-MAPSS Datasets

Publications

• Hettegger, D., Buliga, C., Walter, F., Bismut, E., Straub, D., & Knoll, A. (2023). Investigation of Inspection and Maintenance Optimization with Deep Reinforcement Learning in Absence of Belief States ICASP14 – 14th International Conference on Application of Statistics and Probability in Civil Engineering.
• Cop, K. P., Peters, A., Žagar, B. L., Hettegger, D., & Knoll, A. C. (2021). New Metrics for Industrial Depth Sensors Evaluation for Precise Robotic Applications. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).