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Ir. Stijn Sackesyn  (Doctoral Researcher)

This person worked in the group from 2017 till 2023.

Affiliation: Ghent University
Department of Information Technology (INTEC)
Address: Technologiepark Zwijnaarde 126
9052 Ghent
Belgium
Office: iGent, Office 150.027
E-mail: stijn.sackesyn@ugent.be
Research Area: Photonics Reservoir Computing
Promotors: Peter Bienstman and Joni Dambre
StijnSackesyn

Specific Research Topics

Publications (35)

    International Journals

  1. S. Masaad, S. Sackesyn, Stylianos Sygletos, P. Bienstman, Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals, Journal of Lightwave Technologies, 42(24), p.8555-8563 doi:10.1109/JLT.2024.3444480 (2024)  Download this Publication (2.9MB).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation, Optics Express, 29(20), p.30991-30997 doi:10.1364/OE.435013 (2021)  Download this Publication (2.8MB).
  7. 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).
  8. M. Freiberger, C. Ma, S. Sackesyn, A. Katumba, P. Bienstman, J. Dambre, Improving time series prediction with networks and ensembles of passive photonic reservoirs, IEEE Journal of Selected Topics in Quantum Electronics (invited), 26(1), p.7700611 doi:10.1109/JSTQE.2019.2929699 (2020)  Download this Publication (1.2MB).
  9. A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Neuromorphic computing based on silicon photonics and reservoir computing, IEEE Journal on Selected Topics in Quantum Electronics (invited), 24(6), p.8300310 (10 pages) doi:10.1109/JSTQE.2018.2821843 (2018).
    Book / Book Chapter

  1. J. Dambre, A. Katumba, C. Ma, S. Sackesyn, M. Freiberger, P. Bienstman, Computing with integrated photonic reservoirs, Reservoir Computing - Theory, Physical Implementations, and Applications, p.397-419 (2021)  Download this Publication (638KB).
  2. A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Integrated on-chip reservoirs, Photonic Reservoir Computing: Optical Recurrent Neural Networks (invited), p.53-82 (2019).
    International Conferences

  1. S. Masaad, S. Sackesyn, Stylianos Sygletos, P. Bienstman, Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals, European Conference on Optical Communication, p.M3G.3 (2024)  Download this Publication (3.8MB).
  2. 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).
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. S. Sackesyn, S. Masaad, C. Ma, P. Bienstman, Reservoir Computing with Optical Weights, European Conference on Optical Communication: Workshop on Photonic and Electronic Cointegration Solutions (WS13) (invited), Switzerland, (2022).
  8. D. Chatzitheocharis, ..., S. Sackesyn, S. Masaad, P. Bienstman, ..., K. Vyrsokinos, NEBULA project: combining BTO based plasmonic modulators with neuromorphic augmented receivers for higher than 100 Gbaud intra- and inter-data center interconnects, 19th International Conference on Nanosciences & Nanotechnologies (NN22), Greece, p.Tu.WS1.1 (2022)  Download this Publication (38KB).
  9. 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).
  10. 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).
  11. 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).
  12. S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Experimental Demonstration of Nonlinear Fibre Distortion Compensation with Integrated Photonic Reservoir Computing, ECOC, France, p.SC3-tu4g.6 doi:10.1109/ECOC52684.2021.9606162 (2021)  Download this Publication (1.3MB).
  13. 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).
  14. 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).
  15. 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).
  16. S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman, A power-efficient architecture for silicon photonic reservoir computing, Proceedings of the 24rd Annual Symposium of the IEEE Photonics Benelux Chapter, Netherlands, p.4 (2019)  Download this Publication (197KB).
  17. 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).
  18. S. Sackesyn, C. Ma, A. Katumba, J. Dambre, P. Bienstman, A power-efficient architecture for on-chip reservoir computing, Artificial Neural Networks and Machine Learning ICANN 2019: Workshop and Special Sessions. ICANN 2019. Lecture Notes in Computer Science, 11731, Germany, p.161-164 doi:10.1007/978-3-030-30493-5_16 (2019).
  19. P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, Neuromorphic information processing using silicon photonics, SPIE Optics and Photonics (invited), United States, p.11081-54 doi:10.1117/12.2524707 (2019)  Download this Publication (254KB).
  20. 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).
  21. C. Ma, S. Sackesyn, J.Dambre, P. Bienstman, All-Optical Readout for Integrated Photonic Reservoir Computing, 2019 21st International Conference on Transparent Optical Networks (ICTON) (invited), France, p.paper Fr.D5.4 (4 pages) doi:10.1109/ICTON.2019.8840492 (2019).
  22. S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, An enhanced architecture for silicon photonic reservoir computing, Cognitive Computing 2018: Merging Concepts with Hardware, Germany, (2018)  Download this Publication (139KB).
  23. C. Ma, F. Laporte, S. Sackesyn, J.Dambre, P. Bienstman, Optical readout for low resolution weighting and easy observation for integrated photonic reservoir computing, accepted for publication in IEEE Benelux Chapter Annual Symposium 2019,  (to be published).
      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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