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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 (12)International Journals
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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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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), (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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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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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, BePOM (invited), (2021)
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