Wilhelm has a background in physics and applied mathematics. His research interests include data analysis, machine learning and data management in industry and production. The research involves applying data driven methods in an industrial context such as e.g.
- Smart and data-driven maintenance
- Quality control
- Disturbance handling
An important aspect in the research is to explore how small and medium sized enterprises (SME's) can adopt new digital technologies and methods for strengthening their competitiveness.
- data, deep learning, computer vision, predictive maintenance, artificial intelligence, optimization, mathematical modeling, Python, NumPy, Pandas, PyTorch, JAX