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Ir. Muhammed Gouda (Doctoral Researcher)
Muhammed Gouda was born in 1995 in Gharbeya, Egypt. In 2018, he obtained his bachelor's degree in Nanotechnology and Nanoelectronics Engineering from Zewail City of Science and Technology (Egypt). Two years later, he got his master's degree in Photonics from both Ghent University and the the Free University of Brussels. Starting from 2020, he joined the photonics research group as a PhD student to work on neuromorphic computing using programmable photonics.Specific Research Topics
Publications (12)International Journals
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M. Gouda, A. Lugnan, J. Dambre, G. V. Branden, C. Posch, P. Bienstman,
Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression, IEEE Journal on Selected Topics in Quantum Electronics, (Optical computing), p.8 doi:10.1109/JSTQE.2023.3244040 (2023) .
International Conferences
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M. Gouda, Steven Abreu, P. Bienstman,
Training Strategies for Spiking Neural Networks Integrated with Event-Based Vision in Label-Free Flow Cytometry, Annual Symposium of the IEEE Photonics Society Benelux Chapter, Belgium, (2023).
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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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Steven Abreu, M. Gouda, A. Lugnan, P. Bienstman,
Flow cytometry with event-based vision and spiking neuromorphic hardware, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Canada, doi:10.1109/CVPRW59228.2023.00435 (2023) .
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M. Gouda, A. Lugnan, J. Dambre, G. V. Branden, C. Posch, P. Bienstman,
Event-based vision for improved classification accuracy in label-free flow cytometry, IEEE Benelux Photonics Chapter - Annual Symposium 2022, Netherlands, p.26-29 (2022) .
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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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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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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) .
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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