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Ir. Stijn Sackesyn 

This person is working in this group since 2017.
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 (13)

    International Journals

  1. 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).
  2. 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).
  3. A. Katumba, Matthias Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, Joni 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. A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman, Integrated on-chip reservoirs, (invited) publication in Photonic Reservoir Computing: Optical Recurrent Neural Networks ,  (to be published).
    International Conferences

  1. 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).
  2. S. Sackesyn, C. Ma, A. Katumba, F. Denis-le Coarer, J. Dambre, P. Bienstman, A power-efficient architecture for silicon photonic reservoir computing, accepted for publication in IEEE Photonics Society Benelux Chapter Annual Symposium 2019, Netherlands,  (to be published).
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
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