Heidelberg, DE


Fred Hamprecht is interested in image processing and machine learning, in particular active learning. With his group, he develops automated diagnostic systems with applications both in industrial quality control and the life sciences. Major applications include connectomics, tracking of all cells in a developing embryo and quantitative analysis of high-throughput experiments. The group puts particular emphasis on the the user-friendly training of such systems, and is actively developing open source libraries and program suites such as Ilastik.
Fred studied and earned his PhD at the Swiss Federal Institute of Technology (ETH). After a brief period at the Seminar for Statistics, he became a Professor for Multidimensional Image Processing at the University of Heidelberg in 2001. He is a co-founder of the Heidelberg Collaboratory for Image Processing (HCI), and was a fellow of the Marsilius Kolleg in 2010/11.


Speaker at
8-10 October 2014, Leuven, Belgium