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Prof. Dr.-Ing. habil. Christian Mayr © Prof. Dr.-Ing. habil. Christian Mayr
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Herr Prof. Dr.-Ing. habil. Christian Georg Mayr

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+49 351 463-42392
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+49 351 463-37794

Starting 01.08.2015, Prof. Dr.-Ing. habil. Christian Georg Mayr has taken over the running of the Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits from Prof. Dr.-Ing. habil. René Schüffny. To give a short bio, Christian Mayr received the Dipl.-Ing. (M.Sc.) in Electrical Engineering in 2003, his PhD in 2008 and Habilitation (University teaching qualification) in 2012, all three from Technische Universität Dresden, Germany. From 2003 to 2013, he has been with the Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits at Technische Universität Dresden, with a secondment to Infineon AG Munich (2004-2006). From 2013 to 2015, he was working as researcher at Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland.

His research interests include bio-inspired circuits, Brain-Machine-Interfaces, AD converters, pixel sensors and general mixed-signal VLSI-design. His scientific credits include the world-first neuromorphic system-on-chip (SoC) in 28 nm CMOS, several novel mixed-signal ICs aimed at the interface between nerve cell tissue and electronics, as well as foundational work on the modelling and circuit implementation of synaptic plasticity (i.e. learning). He is author or co-author of over 70 publications and holds 3 patents. His work has received the Heinrich Barkhausen Price (2008) by the Carl Friedrich von Siemens Foundation and the Meyer Struckmann Science Price (2013) by the Meyer Struckmann Foundation.

At the Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits, Prof. Mayr will continue the sucessful work on neuromorphic circuits carried out in the EU flagship Human Brain Project, as well as the Multi-Processor System-on-Chip (MPSoC) research done in e.g. the CfAED cluster of excellence. Beyond that, he aims to combine the current scientific areas of the chair to design SoCs that encompass both conventional processor elements and neurally inspired processing in conventional CMOS or nanoscale substrates. These SoCs will exploit synergies between digital and neural paradigms, exhibiting brain-like computational capabilities such as multi-channel sensor fusion, voice and image recognition and decision making in a power-efficient, compact SoC package.

One specific application area targeted by the above SoCs would be neuroprostheses or Brain-Machine-Interfaces. A compact, low-power single-chip solution for e.g. an arm prosthesis, requires an IC that is low-power, integrates a large number of mixed signal biosensors for high-dimensional tissue interfacing and that can do neurally-inspired sensor fusion and processing on the resulting large input space. Digital processing capability is required in the same chip for conventional postprocessing and interfacing to the prosthesis.

Another application area to be pursued by these synergistic SoCs is neuromorphic processing of data streams in mobile devices. A smartphone has access to multiple sensors (e.g. video, acceleration, audio) and needs to process these in a human-like way for e.g. voice analysis, image recognition, sensor fusion, etc. This processing capability should be extremely energy efficient for a mobile application and be available as part of a conventional MPSoC to aid overall high-density system integration.   

Taking these next steps into the above high-impact, cutting edge research directions would not have been possible without the dedication and effort invested by his predecessor, Prof. Schüffny. All members of the chair wish to express their sincere thanks for the ground-laying work he has done during his tenure.

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Christian Georg Mayr
Letzte Änderung: 17.11.2016