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Ir. Chonghuai Ma (Doctoral Researcher)
This person worked in the group from 2017 till 2022.
Affiliation: | Ghent University - IMEC Department of Information Technology (INTEC) | Address: | Technologiepark-Zwijnaarde 126 9052 Gent Belgium | Office: | iGent, Office 140.010 | E-mail: | Chonghuai.ma@ugent.be | Research Area: | Photonic Reservoir Computing | Promotors: | Peter Bienstman
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Joni Dambre
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Specific Research Topics
Publications (30)International Journals
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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) .
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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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C. Ma, J. Lambrecht, F. Laporte, X. Yin, J. Dambre, P. Bienstman,
Comparing different nonlinearities in readout systems for optical neuromorphic computing networks, Scientific Reports , 11, p.24152 doi:https://doi.org/10.1038/s41598-021-03594-0 (2021) .
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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) .
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C. Ma, F. Laporte, J. Dambre, P. Bienstman,
Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout, Scientific Reports, 11, p.article number 3102 (9 pages) doi:10.1038/s41598-021-82720-4 (2021) .
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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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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) .
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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
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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) .
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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
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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) .
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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).
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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. 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).
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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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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) .
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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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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) .
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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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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).
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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) .
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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).
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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).
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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) .
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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
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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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