Thomas Oskar Weinmann

Dr. Thomas Oskar Weinmann is the Head of the Research Focus Area Scientific Computing & Algorithmics at ZHAW School of Engineering, Zurich University of Applied Sciences (ZHAW). His research interests include Bayesian probabilistic models, machine learning, optimization, and visual computing. He holds a PhD in Mathematics from ETH Zürich (2003–2007) and completed a CAS in Visual Computing at ETH Zürich in 2011.

• Education:
• PhD in Mathematics, ETH Zürich (2003–2007)
• CAS Visual Computing, ETH Zürich (2011)

His current research projects include:

• Smart Acquisition for Ultra-High field NMR Spectroscopy (Deputy project leader, ongoing)
• Raman for Process Analytics (Team member, ongoing)
• Target Recognition using Artificial Intelligence (TRAI) (Project leader, ongoing)

Completed projects include machine learning applications in NMR spectroscopy, varroa mite counting in honeybee colonies, football motion data analysis, and NoSQL database systems. His publications span Bayesian spectral analysis and query optimization in NoSQL systems.