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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 | ORCID: | 0000-0003-3860-3563 | 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 (17)International Journals
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S. Masaad, E.J.C. Gooskens, S. Sackesyn, J. Dambre, P. Bienstman,
Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver, Nanophotonics, (2022)
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E.J.C. Gooskens, F. Laporte, C. Ma, S. Sackesyn, P. Bienstman,
Wavelength Dimension in Waveguide-Based Photonic Reservoir Computing, Optics Express, 30(9), p.15634-15647 doi:10.1364/OE.455774 (2022).
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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)
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International Conferences
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E.J.C. Gooskens, S. Sackesyn, S. Masaad, J. Dambre, P. Bienstman,
Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation, accepted for publication in IEEE SiPhotonics (formerly GFP conference), United States, (to be published).
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P. Bienstman, A. Lugnan, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins,
Coherent optical computing in silicon photonics, Coherent Network Computing (CNC), , United States, p.D2.12.00 (2022)
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S. Masaad, E.J.C. Gooskens, S. Sackesyn, J. Dambre, P. Bienstman,
Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver, European Conference on Optical Communication, Tu4G.3 , Switzerland, (2022)
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G. von Hünefeld, G. Ronninger, P. Safari, I. Sackey, R. Thomas, P. Cegielski, S. Suckow, E. Seker, D. Stahl, S. Masaad, E.J.C. Gooskens, P. Bienstman, C. Schubert, J. Fischer, R. Freund,
Enabling optical modulation format identification using an integrated photonic reservoir and a digital multiclass classifier, ECOC, Switzerland, p.Tu 5.19 (2021)
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E.J.C. Gooskens, F. Laporte, S. Sackesyn, C. Ma, P. Bienstman,
Wavelength Multiplexing in Photonic Reservoir Computing, Annual Symposium of the IEEE Photonics Society Benelux Chapter, (2021)
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P. Bienstman, J. Dambre, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad,
Photonic Neuromorphic Computing Using Silicon Chips, Huawei STW (invited), (2021).
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A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad, J. Dambre, P. Bienstman,
Reservoir computing for high-speed photonic information processing, Photonics in Switching and Computing (invited), p.TuA2.3 (2021)
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A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad, Joni Dambre, P. Bienstman,
Photonic reservoir computing for high-speed neuromorphic computing applications, 2021 IEEE Summer Topicals Meeting Series (invited), Mexico, (2021).
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P. Bienstman, J. Dambre, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad,
Silicon photonics for brain-inspired neuromorphic information processing, 1st Workshop on Neuromorphic Photonics (invited), (2020)
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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).
National Conferences
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P. Bienstman, J. Dambre, A. Lugnan, S. Sackesyn, C. Ma, E.J.C. Gooskens, M. Gouda, S. Masaad,
Photonic Neuromorphic Computing Using Silicon Chips, BePOM (invited), (2021)
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