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., Bruderer, S., Paruzzo, F., Fischetti, G., Toscano, G., Graf, D., Fey, M., Henrici, A., Ziebart, V., Heitmann, B., Grabner, H., Wegner, J. D., Sigel, R. K. O., & Wilhelm, D. (2023). Deconvolution of 1D NMR spectra : a deep learning-based approach. Journal of Magnetic Resonance, 347(107357). https://doi.org/10.1016/j.jmr.2022.107357
Written conference contributions, peer-reviewed
- Bolt, P., Ziebart, V., Jaeger, C., Schmid, N., Stadelmann, T., & Füchslin, R. M. (2024). A simulation study on energy optimization in building control with reinforcement learning [Conference paper]. In C. Y. Suen, A. Krzyzak, M. Ravanelli, E. Trentin, C. Subakan, & N. Nobile (Eds.), Artificial Neural Networks in Pattern Recognition. Springer. https://doi.org/10.1007/978-3-031-71602-7_27
- Schmid, N., Bruderer, S., Fischetti, G., Paruzzo, F., Toscano, G., Graf, D., Fey, M., Ziebart, V., Henrici, A., Grabner, H., Wegner, J. D., Sigel, R. K. O., Heitmann, B., & Wilhelm, D. (2023, January 11). Deconvolution of NMR spectra : a deep learning-based approach. Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. https://doi.org/10.21256/zhaw-27429
- Bolt, P., Ziebart, V., Jaeger, C., Ritzmann, R., Meier, O., & Füchslin, R. M. (2018). Model predictive control for building automation [Conference paper]. EuroSun 2018 : Conference Proceedings, 1330–1341. https://doi.org/10.18086/eurosun2018.11.05
Other publications
Bolt, P., Künzi, R., Ziebart, V., Füchslin, R. M., Motich, M., Antoni, M., Finger, M.-A., & Bürki, M. (2023, January 11). Optimizing cement production by employing physics informed machine learning. Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. https://doi.org/10.21256/zhaw-26666