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Michael Biehl

Johann Bernoulli Institute for Mathematics and Computer Science
University of Groningen
P.O. Box 407
9700 AK Groningen
The Netherlands
Michael Biehl obtained a PhD in Physics from the University of Giessen/Germany in 1992. He completed a habilitation (venia legendi) in Theoretical Physics at the University of Würzburg/Germany in 1996. His main interest is in the theory, modelling, and practical application of neural networks and other machine learning techniques. He is furthermore active in the fields of computational and statistical physics, e.g. with respect to the modelling and simulation of self-organizing nano-structures and epitaxial crystal growth.
His current research is centered around similarity-based classification techniques which employ unconventional and adaptive distance measures. Recent applications aim at, for instance, the analysis, classification and discriminative visualization of complex data sets from the bio-medical domain.

Preprint versions and links to published papers available at M. Biehl's homepage

The result of automated sorting is not always perfect... book chapters and conference proceedings are somewhat mixed up ...

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