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Ir. Muhammed Gouda  (Doctoral Researcher)

Affiliation: Ghent University-IMEC
Department of Information Technology
Address: Technologiepark-Zwijnaarde 126
9052 Gent
Belgium
Office: iGent, Office 140.012
E-mail: [email protected]
LinkedIn: https://www.linkedin.com/in/muhammed-gouda/
Promotor: Peter Bienstman
MuhammedGouda
M. Gouda obtained his bachelor's degree in Nanotechnology and Nanoelectronics Engineering from Zewail City of Science and Technology. 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 (14)

    International Journals

  1. M. Gouda, S. Abreu, P. Bienstman, Surrogate gradient learning in spiking networks trained on event-based cytometry dataset, Optics Express, 32(9), p.16260-16272 doi:10.1364/OE.518323 (2024)  Download this Publication (7.9MB).
  2. 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)  Download this Publication (4.8MB).
      International Conferences

    1. M. Gouda, S. Abreu, P. Bienstman, Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets, ICTON 2024 (invited), Italy, p.Tu.B5.3 (2024)  Download this Publication (5.1MB).
    2. 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).
    3. 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).
    4. 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).
    5. 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)  Download this Publication (2.7MB).
    6. 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)  Download this Publication (2.2MB).
    7. 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).
    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).
        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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