Prof. Dr. José del R. Millán

Prof.José del R. Millan

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Biography

Prof. José del R. Millán holds the Defitech Chair at the École Polytechnique Fédérale de Lausanne (EPFL) where he explores the use of brain signals for multimodal interaction and, in particular, the development of brain controlled robots and neuroprostheses. In this multidisciplinary research effort, Dr. Millán is bringing together his pioneering work on the two fields of brain-computer interfaces and adaptive intelligent robotics. His research on brain computer interfaces was nominated finalist of the European Descartes Prize 2001 and he has been named Research Leader 2004 by the journal Scientific American for his work on brain-controlled robots. He is the recipient of the IEEE Nobert Wiener Award 2011 for his seminal and pioneering contributions to non-invasive brain-computer interfaces. The journal Science has reviewed his work as one of the world’s key researchers in the field of brain-computer interfaces.

Mission

The Chair in Brain-Machine Interface laboratory (CNBI) carries out research on the direct use of human brain signals to control devices and interact with our environment. In this multidisciplinary research, we are bringing together our pioneering work on the two fields of brain-machine interfaces and adaptive intelligent robotics. Our approach to design intelligent neuroprostheses balances the development of prototypes‚ where robust real-time operation is critical‚ and the exploration of new interaction principles and their associated brain correlates. A key element at each stage is the design of efficient machine learning algorithms for real-time analysis of brain activity that allow users to convey their intents rapidly, on the order of hundred milliseconds. Our neuroprostheses are explored in cooperation with clinical partners and disabled volunteers for the purpose of motor restoration, communication, entertainment and rehabilitation.

Keywords

Brain-computer interfaces, Neuroprosthetics, Statistical machine, learning Human-robot interaction, Adaptive robotics, Neuroscience, EEG, mental imagery.