Peter Bienstman - NaResCo

Onderstaande beschrijving is in het Engels:

Peter Bienstman was born in Ghent, Belgium, in 1974. He received a degree in electrical engineering from Ghent University, Belgium, in 1997 and a Ph.D. from the same university in 2001, at the Department of Information Technology (INTEC), where he is currently an associate professor. During 2001-2002, he spent a year in the Joannopoulos research group at MIT.
His research interests include several applications of nanophotonics (biosensors, photonic information processing, ...) as well as nanophotonics modelling. He has published over 50 papers and holds several patents. He is a member of IEEE-LEOS.




Novel paradigms for massively parallel nanophotonic information processing

We will develop nanophotonic reservoir computing as a novel paradigm for massively parallel information processing. Reservoir computing is a recently proposed methodology from the field of machine learning and neural networks, which has been used successfully in several pattern classification problems, like speech and image recognition. However, it has so far been used mainly in a software implementation, which limits its speed and power efficiency.

Photonics could provide an excellent platform for such a hardware implementation, because of the presence of unique non-linear dynamics in photonics components due to the interplay of photons and electrons, and because light also has a phase in addition to an amplitude, which provides for an important additional degree of freedom as opposed to a purely electronic hardware implementation.