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Welcome to the Information Science and Engineering Group

We perform teaching and research in machine learning strategies for the pattern analysis of various kinds of data. This comprises statistical models for clustering, graphical models for network inference and algorithmic methods to efficiently find these structures in the data.

Our group headed by Prof. Dr. Joachim M. Buhmann is part of the Institute for Machine Learning in the Department of Computer Science at ETH Zurich.



Dwarikanath on ISBI

Dwarikanath presented three posters on this year's ISBI in New York, USA. Read more 


Best Poster Award

Peter Schüffler, Dwarikanath Mahapatra, Frans Vos and Joachim Buhmann won the "Best Poster Award" at the VIGOR++ Workshop on 09. May 2014 in London. Read more 


Best Paper Award

Rodrigo D. Castro, François E. Cellier and  Andreas Fischlin received the "Best Paper Award" for their paper "Eco-bond graphs: an energy-based modeling framework for complex dynamic systems with a focus on sustainability and embodied energy flows" at the I3M / SESDE 2013 in Athens. Read more 

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