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 a full professor. His research interests include several applications of nanophotonics (biosensors, photonic information processing, …) as well as nanophotonics modelling. He has published over 110 papers and holds several patents. He has been awarded a ERC starting grant for the Naresco-project: Novel paradigms for massively parallel nanophotonic information processing.
Keywords: Photonics, neuromorphic computing, hardware implementation, reservoir computing
- “Integrated pillar scatterers for speeding up classification of cell holograms”, A. Lugnan, J. Dambre, P. Bienstman, Optics Express (IF 2016: 3.307, 16/92), vol. 25, no. 24, pp. 30526-30538, 2017.
- “Numerical demonstration of neuromorphic computing with photonic crystal cavities”, F. Laporte, A. Katumba, J. Dambre, P. Bienstman, Optics Express (IF 2016: 3.307, 16/92), vol. 26, no. 7, pp. 7955-7964, 2018.
- “Experimental demonstration of reservoir computing on a silicon photonics chip”, K. Vandoorne et al., Nature Communications (IF 2012: 10.015, 3/56), vol. 5, paper 3541, 6 pp., 2014.
- “Trainable hardware for dynamical computing using error backpropagation through physical media”, M. Hermans et al., Nature Communications (IF 2012: 10.015, 3/56), vol. 6, paper 6729, 2015.
- “Toward optical signal processing using Photonic Reservoir Computing”, K. Vandoorne et al., Optics Express (IF 3.880, 3/64), vol. 16, no. 15, pp. 11182-11192, 2008.