Dr. Volker Ziebart
Dr. Volker Ziebart
ZHAW
School of Engineering
Machine Learning in Optimal Control for Industry
Technikumstrasse 71
8400 Winterthur
Projects
- Detection and Classification of Risks from Radar Data / Team member / completed
- Ecological and economic process optimization in cement production through machine learning / Project leader / completed
- Feasibility Study Reinforcement Learning for Heating Systems / Project leader / completed
Publications
Articles in scientific journal, peer-reviewed
Schmid, N. et al. (2023) 'Deconvolution of 1D NMR spectra : a deep learning-based approach', Journal of Magnetic Resonance, 347(107357). doi: 10.1016/j.jmr.2022.107357.
Written conference contributions, peer-reviewed
- Bolt, P. et al. (2024) 'A simulation study on energy optimization in building control with reinforcement learning', in Suen, C. Y. et al. (eds) Artificial Neural Networks in Pattern Recognition. Cham: Springer. doi: 10.1007/978-3-031-71602-7_27.
- Schmid, N. et al. (2023) 'Deconvolution of NMR spectra : a deep learning-based approach', in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-27429.
- Bolt, P. et al. (2018) 'Model predictive control for building automation', in EuroSun 2018 : conference proceedings. International Solar Energy Society, pp. 1330–1341. doi: 10.18086/eurosun2018.11.05.
Other publications
Bolt, P. et al. (2023) 'Optimizing cement production by employing physics informed machine learning', in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-26666.