|
| |
| 77 |
Photonic neuromorphic information processing and reservoir computing,
A. Lugnan, A. Katumba, F. Laporte, M. Freiberger, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman,
APL Photonics (invited), 5, p.020901 doi:10.1063/1.5129762 (2020) |  |
| 43 |
Neuromorphic computing based on silicon photonics and reservoir computing,
A. Katumba, M. Freiberger, F. Laporte, A. Lugnan, S. Sackesyn, C. Ma, J. Dambre, P. Bienstman,
IEEE Journal on Selected Topics in Quantum Electronics (invited), 24(6), p.8300310 (10 pages) doi:10.1109/JSTQE.2018.2821843 (2018) | |
| 10 |
Integrated pillar scatterers for speeding up classification of cell holograms,
A. Lugnan, J. Dambre, P. Bienstman,
Optics Express, 25(24), p.30526-30538 doi:10.1364/oe.25.030526 (2017) | |
| 9 |
System-Level Simulation for Integrated Phase-Change Photonics,
Santiago Garcia-Cuevas Carrillo, A. Lugnan, Emanuele Gemo, P. Bienstman, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright,
Journal of lightwave technology, 39(20), p. 6392 - 6402 doi:10.1109/JLT.2021.3099914 (2021) | |
| 8 |
Flow cytometry with event-based vision and spiking neuromorphic hardware,
Steven Abreu, M. Gouda, A. Lugnan, P. Bienstman,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Canada, doi:10.1109/CVPRW59228.2023.00435 (2023) | |
| 8 |
Machine learning issues and opportunities in ultrafast particle classification for label‑free microflow cytometry,
A. Lugnan, E.J.C. Gooskens, J. Vatin, J. Dambre, P. Bienstman,
Scientific Reports, 10(1), p.1-13 doi:10.1038/s41598-020-77765-w (2020) | |
Most cited publications of Alessio Lugnan (since 2019)
| 77 |
Photonic neuromorphic information processing and reservoir computing,
A. Lugnan, A. Katumba, F. Laporte, M. Freiberger, S. Sackesyn, C. Ma, E.J.C. Gooskens, J. Dambre, P. Bienstman,
APL Photonics (invited), 5, p.020901 doi:10.1063/1.5129762 (2020) | |
| 9 |
System-Level Simulation for Integrated Phase-Change Photonics,
Santiago Garcia-Cuevas Carrillo, A. Lugnan, Emanuele Gemo, P. Bienstman, Wolfram H. P. Pernice, Harish Bhaskaran, C. David Wright,
Journal of lightwave technology, 39(20), p. 6392 - 6402 doi:10.1109/JLT.2021.3099914 (2021) | |
| 8 |
Flow cytometry with event-based vision and spiking neuromorphic hardware,
Steven Abreu, M. Gouda, A. Lugnan, P. Bienstman,
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Canada, doi:10.1109/CVPRW59228.2023.00435 (2023) | |
| 8 |
Machine learning issues and opportunities in ultrafast particle classification for label‑free microflow cytometry,
A. Lugnan, E.J.C. Gooskens, J. Vatin, J. Dambre, P. Bienstman,
Scientific Reports, 10(1), p.1-13 doi:10.1038/s41598-020-77765-w (2020) | |
| 7 |
Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression,
M. Gouda, A. Lugnan, J. Dambre, G. V. Branden, C. Posch, P. Bienstman,
IEEE Journal on Selected Topics in Quantum Electronics, (Optical computing), p.8 doi:10.1109/JSTQE.2023.3244040 (2023) | |
| 7 |
Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node,
A. Lugnan, Santiago Garcia-Cuevas Carrillo, C. David Wright, P. Bienstman,
Optics Express, 30(14), p.25177-25194 doi:10.1364/OE.459364 (2022) | |
Types of Publications
Invited Publications
|
