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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 and DAMBRE, Joni
EmmanuelGooskens
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 (-1)

    International Journals

  1. E.J.C. Gooskens, S. Sackesyn, J. Dambre, P. Bienstman, Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths, Scientific Reports, 13(21399), doi:doi.org/10.1038/s41598-023-48816-9 (2023)  Download this Publication (1.4MB).
  2. C. Ma, J. Van Kerrebroeck, H. Deng, S. Sackesyn, E.J.C. Gooskens, B. Bai, J. Dambre, P. Bienstman, Integrated photonic reservoir computing with an all-optical readout, Optics Express, 31(21), p.34843-34854 doi:https://doi.org/10.1364/OE.502354 (2023)  Download this Publication (4.6MB).
  3. 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)  Download this Publication (1.7MB).
  4. 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).
  5. 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)  Download this Publication (2MB).
  6. 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)  Download this Publication (2.9MB).
      International Conferences

    1. P. Bienstman, A. Lugnan, S. Aggarwal, F. Brückerhoff-Plückelmann, W. Pernice, H. Bhaskaran, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins, Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks, Natural and Physical Computing (NNPC), Germany, p.1 (2023)  Download this Publication (207KB).
    2. S. Masaad, E.J.C. Gooskens, M. Gouda, R. De Prins, F. Marchesin, R. Shi, A. Lugnan, S. Sackesyn, C. Ma, Joni Dambre, P. Bienstman, Integrated Photonic Reservoir Computing for Telecommunication Applications , Neuromorphic photonics and applications (invited), Greece, (2023).
    3. E.J.C. Gooskens, S. Sackesyn, S. Masaad, J. Dambre, P. Bienstman, Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation, IEEE SiPhotonics (formerly GFP conference), United States, p.1-2 doi:10.1109/SiPhotonics55903.2023.10141896 (2023)  Download this Publication (1MB).
    4. 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)  Download this Publication (71KB).
    5. 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)  Download this Publication (352KB).
    6. 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)  Download this Publication (546KB).
    7. 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)  Download this Publication (676KB).
    8. 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).
    9. 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)  Download this Publication (2MB).
    10. 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).
    11. 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)  Download this Publication (4.3MB).
    12. 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).
    13. 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).
    14. 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

      1. 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)  Download this Publication (4.4MB).
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