Daniel Koutas, M.Sc.
Room: N3632
Phone: +49 89 289 23010
E-Mail: daniel.koutas@tum.de
Office hours: by arrangement
Curriculum Vitae
- 04/2023 – Present | PhD student at the Engineering Risk Analysis Group, Technische Universität München
- 10/2019 – 03/2023 | M.Sc. (Hons) in Materials Science and Engineering, Technische Universität München
- 09/2022 – 02/2023 | Exchange Semester, Politecnico di Milano
- 10/2016 – 03/2020 | B.Sc. in Engineering Science, Technische Universität München
Research
- Optimal Inspection and Maintenance Planning
- Deep Reinforcement Learning
Teaching
- Prognostics and Health Management (TA, SS 23 & SS 24, 3 ECTS)
- Reliability and Safety Analysis (TA, WS 23/24 & WS 24/25, 5 ECTS)
Supervised theses/projects
- Master's thesis (jointly with AIR chair): Junbo Leng (2024) - Extending Foundation Model Lag-Llama for Multivariate Time Series Forecasting: A Case Study with C-MAPSS Datasets
Publications
Koutas, D., Bismut, E., & Straub, D. (2024). An investigation of belief-free DRL and MCTS for inspection and maintenance planning. Journal of Infrastructure Preservation and Resilience, 5(1), 6.