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Prof. Dr. Stefan Haufe

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Technische Universität Berlin
Machine Learning

Marchstraße 23, 10587 Berlin

© Haufe

Prof. Dr. Stefan Haufe

Fellow

Prof. Dr. Stefan Haufe is a computer scientist and currently Professor of Uncertainty, Inverse Modeling, and Machine Learning at TU Berlin. At the same time, he heads the Machine Learning and Uncertainty Group at Physikalisch-Technische Bundesanstalt Berlin (PTB) and the Brain and Data Science Group at Charité - Universitätsmedizin Berlin. 

His main interest is in the development of signal processing, machine learning, and inverse modeling techniques for neuroimaging data, and in clinical applications of such techniques. His group is also concerned with the use of machine learning in critical care and with general questions of quality assurance for machine learning, including the question how to validate and design machine learning model explanations. 

The group's research is currently supported by the European Research Council, the German Federal Ministry for Economic Affairs and Climate Action (BMWK) within the programme “Metrology for Artificial Intelligence in Medicine” (M4AIM), the Dr. Johannes Heidenhain Foundation, and the European Partnership on Metrology (EPM), co-funded by the Member States and the European Union.
 

Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima

Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks

October 31, 2024
https://doi.org/10.48550/arXiv.2411.00143

News
BIFOLD Update| Jul 03, 2024

Welcome Prof. Dr. Stefan Haufe

A warm welcome to Prof. Dr. Stefan Haufe as a new BIFOLD Fellow. Stefan Haufe is Professor of computer science and, since 2021, the head of the Uncertainty, Inverse Modeling and Machine Learning (UNIML) group at Technische Universität Berlin as well as Head of the working group Machine Learning and Uncertainty at Physikalisch-Technische Bundesanstalt (PTB) and Head of Brain and Data Science group, Berlin Center for Advanced Neuroimaging (BCAN) - Charité.