| |
Back to list
Ir. Emmanuel J.C. Gooskens
This person is working in this group since 2018.
Affiliation: | Ghent University - IMEC Department of Information Technology | Address: | Technologiepark-Zwijnaarde 126 9052 Gent Belgium | Office: | iGent, Office 130.008 | E-mail: | emmanuel.gooskens@ugent.be | Research Area: | Photonic Reservoir Computing | Promotors: | Peter Bienstman
and
DAMBRE, Joni
|
|
|
Emmanuel Gooskens was born in 1995. In 2018 he obtained a European Master of Science in Photonics at Ghent University. He started a PhD on photonic reservoir computing in the photonics research group of Ghent University-IMEC.Specific Research Topics
Publications (5)International Journals
-
A. Lugnan, E.J.C. Gooskens, J. Vatin, J. Dambre, P. Bienstman,
Machine learning issues and opportunities in ultrafast particle classification for label‑free microflow cytometry, Scientific Reports, 10(1), p.1-13 doi:10.1038/s41598-020-77765-w (2020)
. -
A. Lugnan, A. Katumba, F. Laporte, M. Freiberger, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman,
Photonic neuromorphic information processing and reservoir computing, APL Photonics (invited), 5, p.020901 doi:10.1063/1.5129762 (2020)
.
International Conferences
-
F. Laporte, A. Katumba, M. Freiberger, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman,
Photonic Reservoir Computing, Photonic Integration Week (invited), Spain, (2020).
-
P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens,
Non-linear signal equalisation using silicon photonic reservoir computing, ECOC machine learning workshop (invited), Ireland, (2019).
-
P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens,
Silicon photonics reservoir computing at 32 Gbit/s, 5th Workshop on Dynamical Systems and Brain-Inspired Information Processing (invited), Germany, (2019).
Click here for a printable publication list. Back to list
|