Volker Ziebart

Dr. Volker Ziebart is a Researcher at the Zurich University of Applied Sciences (ZHAW) School of Engineering, focusing on Machine Learning in Optimal Control for Industry. He has led and contributed to projects addressing energy optimization in building control, ecological and economic process optimization in cement production using reinforcement learning and physics-informed machine learning.

• Role: Researcher at ZHAW School of Engineering
• Key Projects: Reinforcement Learning for heating systems, energy optimization in buildings, physics-informed ML for cement production

His research bridges machine learning with industrial applications, particularly in control systems and spectroscopy. He has published peer-reviewed articles and posters in journals and conferences such as the Journal of Magnetic Resonance and the ANNPR Workshop. While no formal awards are documented, his work reflects expertise in deep learning, predictive modeling, and sustainable manufacturing.