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Ir. Emmanuel J.C. Gooskens (Doctoral Researcher)
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
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DAMBRE, Joni
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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
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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)
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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
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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).
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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).
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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.
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