Research overview
- Grey-box methodologies for reliable modelling under uncertainty
- Multifidelity-modelling approaches (Nested)
- Digital twins for fast consecutive processes under uncertainty and process drift
- Likelihood-free Bayesian updating approaches
- Oct 2021 – present: Doctoral student, KU Leuven, Belgium and MSCA Greydient Grant Agreement .
- Oct 2018 – Sep 2019: Exchange Tokyo Institute of Technology, Japan
- Apr 2018 – Mar 2021: Master Computational Methods in Engineering, Leibniz University Hannover, Germany
- Sep 2016 – Dez 2016: Exchange Aalto University, Finland
- Oct 2014 – Jul 2018: Bachelor Civil and Environmental Engineering, Leibniz University Hannover, Germany
- 2021: Victor Rizkallah Foundation 2021 Award, Leibniz University Hannover
Journal Paper:
- Dodt, M.B., Kitahara, M., Broggi, M. & Beer, M. (2022). Comparison of state of the art sampling-based Bayesian Updating techniques. ISRERM 2022. doi: 10.3850/978-981-18-5184-1_MS-02-146-cd.
- Dodt, M.B., Persoons, A., Faes, M.G.R. & Moens, D. (2023). Near-real-time online process control using grey-box models. ICASP14. http://hdl.handle.net/2262/103367
- Dodt, M.B., Bogaerts, L., Persoons, A., Faes, M.G.R. & Moens, D. (2024). A multifidelity framework for grey-box modelling of automated welding processes. USD2024. 10.5281/zenodo.14247241.