Ulrich Hoffmann was born in Freiburg im Breisgau in Germany in 1974. In 2001, he obtained a diploma in computer science/medicine from the University of Tuebingen (Germany). He then worked for one year as a consultant and programmer in the areas Java and SAP for Innovate GmbH (Germany). He started his doctoral studies in 2003. In 2007 he obtained a PhD from the Ecole Polytechnique Federale de Lausanne (Switzerland) for his research on brain-computer interfaces, signal processing, and machine learning. Since 2008, he is working as a senior research scientist and project leader in the health unit of Fatronik – Tecnalia (Spain). Dr. Hoffmann is author or co-author of several scientific publications.
Subjective Quality Evaluation Of High Dynamic Range Video And Display For Future TV2014. International Broadcasting Convention (IBC), Amsterdam, Netherlands, September 11-15, 2014.
Classification of EEG Signals Using Dempster Shafer Theory and a K-Nearest Neighbor Classiﬁer2009. The 4th International IEEE EMBS Conference on Neural Engineering, Antalya, April 29- May 2, 2009. p. 327-330.
Face Detection Using Discrete Gabor Jets And Color Information2008. ICETE 2008, International Conference on Signal Processing and Multimedia Applications, Porto, July 26-29, 2008. p. 76-83.
Bayesian Feature Selection Applied In a P300 Brain- Computer Interface2008. 16th European Signal Processing Conference, Lausanne, August 25-29, 2008.
Recent Advances in Brain-Computer Interfaces2007. IEEE International Workshop on Multimedia Signal Processing, Chania, Crete, Greece, October 1-3.
Spatial filters for the classification of event-related potentials2006. European Symposium on Artificial Neural Networks, Bruges, April 26-27-28, 2006.
A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces2005.
Application of the Evidence Framework to Brain-Computer Interfaces2004.
Face Detection Using Discrete Gabor Jets and a Probabilistic Model of Colored Image PatchesCommunications in Computer and Information Science (CCIS series); Springer-Verlag, 2008.
Human-Brain Interface: Signal Processing and Machine LearningWiley Encyclopedia of Biomedical Engineering; John Wiley and Sons Ltd, 2006.
Direct Brain-Computer Communication Through EEG Signals