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. (2026) Online thermal power estimation from oxygen measurement in cement industry. SSRN. doi: 10.2139/ssrn.6023852.
- 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.