Prof. Dr. Thomas Zöller

An expert on advanced analytics and artificial intelligence, and their relation to digital transformation, with a PhD in Machine Learning for Image Processing from the University of Bonn.

Prof. Dr. Zöller teaches data science at the online studies department at IU University of Applied Sciences. His research revolves around advanced analytics and artificial intelligence, and their relation to digital transformation.

Thomas Zöller studied computer science and mathematics at the University of Bonn, where he also obtained his PhD in Machine Learning for Image Processing. He spent the following years developing his dissertation in various application-based research roles, in institutions such as the Fraunhofer Society. Prof. Dr. Zöller has held several different positions in his professional career, working on business intelligence, advanced analytics and AI in a wide variety of sectors, from finance to the auto industry. 

Selected publications:

• Zöller, Thomas und Buhmann, Joachim (2007): Robust Image Segmentation Using Resampling and Shape Constraints. IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), Vol. 29 (7), pp. 1147 - 1164, Juli 2007.

• Hügelmeyer, Philipp; Doll, Thomas und Zöller, Thomas (2007): ITSimBw - Das agentenbasierte Simulationssystem der Bundeswehr. IT-Report 2007.

• Zöller, Thomas Zöller (2005): Shape and Topology Constrained Image Segmentation with Stochastic Models. Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, 2005.