Michael Tangermann

Dr. Michael Tangermann is an Associate Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University. Previously, he led the Brain State Decoding Lab at the University of Freiburg (2013–2020), focusing on machine learning for decoding mental states from neuronal signals. His research addresses challenges in signal-to-noise ratio, high dimensionality, and non-stationarity in EEG/MEG data, with applications in Brain-Computer Interfaces (BCIs), neurorehabilitation, and human-robot interaction. He holds a PhD from the University of Tübingen (2005) and was a postdoc at TU Berlin and Fraunhofer FOKUS.

Education:

• PhD in Computer Engineering, University of Tübingen, 2000–2005
• Postdoc, TU Berlin (Machine Learning Group), 2007–2013
• Researcher at Fraunhofer FOKUS, 2005–2017

Research Interests: Machine learning, BCI development, neural signal processing, rehabilitation engineering, and adaptive systems. His work emphasizes real-time applications, including stroke rehabilitation, closed-loop deep brain stimulation, and auditory BCI paradigms.

Labs/Teams: Current affiliation with the Donders Institute. Previously, led the Brain State Decoding Lab (Freiburg) within the BrainLinks-BrainTools excellence cluster. Collaborates with institutions like the Berlin Brain-Computer Interface group and Fraunhofer FIRST/FOKUS.