Gooskens, E., Laporte, F., Ma, C., Sackesyn, S., Dambre, J., Bienstman, P. (2022). Event-based vision for improved classification accuracy in label-free flow cytometry. IEEE Photonics Benelux Annual Symposium, Eindhoven (Netherlands)
Gooskens, E., Laporte, F., Ma, C., Sackesyn, S., Dambre, J., Bienstman, P. (2022). Wavelength dimension in waveguide-based photonic reservoir computing. Optics Express. https://doi.org/10.1364/OE.455774
Sozos, K., Bogris, A., Bienstman, P., Sarantoglou, G., Deligiannidis, S., Mesaritakis, C. (2023). Self-Coherent Receiver Based on a Recurrent Optical Spectrum Slicing Neuromorphic Accelerator. Journal of Lightwave Technology (accepted). https://doi.org/10.48550/arXiv.2203.15807
Stecconi, T., Popoff, Y., Guido, R., Falcone, D., Halter, M., Sousa, M., Horst, F., La Porta, A., Offrein, B.J., Bragaglia, V. (2022). Role of Conductive-Metal-Oxide to HfOx, Interfacial Layer on the Switching Properties of Bilayer TaOx/HfOx ReRAM. IEEE 52nd European Solid-State Device Research Conference (ESSDERC), Milan (Italy), https://doi.org/10.1109/ESSDERC55479.2022.9947195
Agrafiotis, G., Makri, E., Kalamaras, I., Lalas, A., Votis, K., Tzovaras, D. (2023). Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA. Northern Lights Deep Learning Conference, Tromsø (Norway)
Masaad, S., Gooskens, E., Sackesyn, S., Dambre, J., Bienstman, P. (2022). Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver. European Conference on Optical Communication (ECOC), Basel (Switzerland). https://ieeexplore.ieee.org/document/9979470
Bienstman, P., Lugnan, A., Ma, C., Sackesyn, S., Gooskens, E., Masaad, S., Gouda, M., De Prins, R. (2022). Coherent Optical Computing in Silicon Photonics. Coherent Network Computing, Stanford (USA)
Masaad, S., Gooskens, E., Sackesyn, S., Dambre, J., Bienstman, P. (2022). Photonic Reservoir for Nonlinear Equalization of 64-QAM Signals with Kramers Kronig Receiver. Nanophotonics. https://doi.org/10.1515/nanoph-2022-0426
López-Hernández, A., Gutiérrez-Zubillaga, M., Pérez-López, D. (2022). Automatic Self-calibration of Programmable Photonic Processors. IEEE Photonics Conference (IPC), Vancouver (Canada). https://doi.org/10.1109/IPC53466.2022.9975587
Charles, M., Convertino, C., Eltes, F., Seidler, P. (2022). Electro-optic frequency-comb generation in monolithically integrated, low-loss barium titanate waveguides. Conference on Lasers and Electro-Optics (CLEO), San José (USA). https://doi.org/10.1364/CLEO_SI.2022.STu1C.2
Kohli, M., Chelladurai, D., Messner, A., Horst, Y., Moor, D., Winiger, J., Blatter, T., Buriakova, T., Convertino, C., Eltes, F., Zervas, M., Fedoryshyn, Y., Koch, U., Leuthold, J. (2022). 216 GBd Plasmonic Ferroelectric Modulator Monolithically Integrated on Silicon Nitride. European Conference on Optical Communication (ECOC), Basel (Switzerland). https://ieeexplore.ieee.org/document/9979214
Dermanis, D., Bogris, A., Rizomiliotis, P. and Mesaritakis, C. (2022). Photonic Physical Unclonable Function Based on Integrated Neuromorphic Devices. Journal of Lightwave Technology. https://doi.org/10.1109/JLT.2022.3200307
Agathangelidis, A., Vlachonikola, E., Davi, F., Langerak, A.W. and Chatzidimitriou, A. (2022). High-throughput immunogenetics for precision medicine in cancer. Seminars in Cancer Biology (Volume. 84, pp. 80-88). https://doi.org/10.1016/j.semcancer.2021.10.009
Geler-Kremer, J., Eltes, F., Stark, P., Stark, D., Caimi, D., Siegwart, H., Offrein, B.J., Fompeyrine, J., Abel, S. (2022). A ferroelectric multilevel non-volatile photonic phase shifter. Nature Photonics, 1-7. https://doi.org/10.1038/s41566-022-01003-0
Geler-Kremer, J., Eltes, F., Stark, P., Sharma, A., Caimi, D., Offrein, B. J., Fompeyrine, J., Abel, S. (2021). A non-volatile optical memory in silicon photonics. Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE. https://ieeexplore.ieee.org/abstract/document/9489522
Czornomaz, L., & Abel, S. (2022). BTO-enhanced silicon photonics–a scalable PIC platform with ultra-efficient electro-optical modulation. Optical Fiber Communication Conference and Exhibition (OFC) (pp. Th1J-1). Optica Publishing Group. https://ieeexplore.ieee.org/document/9748559
M. Gouda, et al. (2022). Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression. Accepted in Journal of Selected Topics in Quantum Electronics (JSTQE).
Sarantoglou, G., Bogris, A., Mesaritakis, C., Theodoridis, S. (2022). Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing. Accepted in Journal of Selected Topics in Quantum Electronics (JSTQE). https://doi.org/10.1109/JSTQE.2022.3183444
Skontranis, M., Sarantoglou, G., Bogris, A., Mesaritakis, C. (2022). Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser. Accepted in Optica Material Optics Express. https://doi.org/10.48550/arXiv.2203.16473
Tsirigotis, A., Tsilikas, I., Sozos, K., Bogris, A., & Mesaritakis, C. (2022). Filter-based photonic reservoir computing as a key-enabling platform for all-optical, high-speed processing of time-stretched images and telecomm data (Invited). AI and Optical Data Sciences III (Vol. 12019, pp. 111-118), SPIE Photonics West. https://doi.org/10.1117/12.2607438
Sarantoglou, G., Sozos, K., Kamalakis, T., Mesaritakis, C., Bogris, A. (2022). Experimental demonstration of an extreme learning machine based on Fabry Perot lasers for parallel neuromorphic processing. Optical Fiber Communications Conference and Exhibition (OFC). https://doi.org/10.1364/OFC.2022.M1G.3
Bogris, A. , Sozos, K., Deligiannidis, S. , Sarantoglou, G., Mesaritakis, C. (2022). Machine Learning and Neuromorphic Computing Approaches for the mitigation of transmission impairments in high baud rate transmission systems. Invited at European Conference on Optical Communications (ECOC). Basel – Switzerland (Sept. 2022)
Mesaritakis, C., Sarantoglou, G., Bogris, A. (2022). Bayesian Training in Reconfigurable Photonic Neuromorphic Meshes (invited). IEEE Workshop on Complexity in Engineering (COMPENG). Florence-Italy (July 2022)
Skontranis, M., Sarantoglou, G., Bogris, A., Mesaritakis, C. (2022). Spectro-temporally Multiplexed Reservoir Computing Based on a Multimode Fabry Perot Laser. Accepted at European Conference on Optical Communications (ECOC). Basel – Switzerland (Sept. 2022)
Sánchez, E., López, A., Pérez-López, D. (2022). Simulation of Highly Coupled Programmable Photonic Circuits. Accepted at Journal of Lightwave Technology.
Rausell, J. R., Pérez-López, D. (2022). Reconfigurable Activation Functions in Integrated Optical Neural Networks. IEEE Journal of Selected Topics in Quantum Electronics, vol. 28, no. 4, pp. 1-13 (2022), 8300513. https://doi.org/10.1109/JSTQE.2022.3169833
Pérez-López, D. (2022). Multipurpose programmable integrated photonics: architectures, programming methods, and applications (Invited). SPIE Photonics West. https://doi.org/10.1117/12.2627375
Pérez-López, D. (2022). Large-scale Programmable Integrated Photonic Circuits: From Microwave Photonics to Optical Computing (invited). Optical Fiber Communication Conference and Exhibition (OFC). https://ieeexplore.ieee.org/abstract/document/9748630
Pérez-López, D. (2022). Programmable photonic integrated circuits: performance and scalability. Invited at IEEE Workshop on Recent Advances in Photonics (WRAP), Mumbai-India
K. Sozos, A. Bogris, G. Sarantoglou, P. Bienstman, C. Mesaritakis (2022). High-Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks. Accepted at Nature – Communication Engineering. https://doi.org/10.48550/arXiv.2203.15807
Deligiannidis, S., Bogris, A., Mesaritakis, C., & Kopsinis, Y. (2020). Compensation of fiber nonlinearities in digital coherent systems leveraging long short-term memory neural networks. Journal of Lightwave Technology, 38(21), 5991-5999. DOI: 10.1109/JLT.2020.3007919
Deligiannidis, S., Bogris, A., Mesaritakis, C., & Kopsinis, Y. (2020). Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks. arXiv preprint arXiv:2001.11802.
Bogris, A., Mesaritakis, C., Deligiannidis, S., & Li, P. (2020). Fabry-Perot lasers as enablers for parallel reservoir computing. IEEE Journal of Selected Topics in Quantum Electronics, 27(2), 1-7. DOI: 10.1109/JSTQE.2020.3011879
Bogris, A., Mesaritakis, C., Deligiannidis, S., & Li, P. (2020). Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing. arXiv preprint arXiv:2005.14261.
Lugnan, A., Gooskens, E., Vatin, J., Dambre, J., & Bienstman, P. (2020). Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry. Scientific Reports, 10(1), 1-13. DOI: https://doi.org/10.1038/s41598-020-77765-w
Perot, E., de Tournemire, P., Nitti, D., Masci, J., & Sironi, A. (2020). Learning to detect objects with a 1 megapixel event camera. arXiv preprint arXiv:2009.13436.
Skontranis, M., Sarantoglou, G., Deligiannidis, S., Bogris, A., & Mesaritakis, C. (2021). Time-Multiplexed Spiking Convolutional Neural Network Based on VCSELs for Unsupervised Image Classification. Applied Sciences, 11(4), 1383. DOI: https://doi.org/10.3390/app11041383
Abel, S. (2021, March). An ultra-strong Pockels effect in silicon photonics. In Smart Photonic and Optoelectronic Integrated Circuits XXIII (Vol. 11690, p. 116900Y). International Society for Optics and Photonics. DOI: https://doi.org/10.1117/12.2591232
Sánchez, E., Pérez-López, D., & Capmany, J. (2021). Modeling amplified arbitrary filtered microwave photonic links and systems. Optics Express, 29(10), 14757-14772. DOI: https://doi.org/10.1364/OE.423613
Macho‐Ortiz, A., Pérez‐López, D., & Capmany, J. (2021). Optical Implementation of 2× 2 Universal Unitary Matrix Transformations. Laser & Photonics Reviews, 2000473. DOI: https://doi.org/10.1002/lpor.202000473
Geler-Kremer, J., Eltes, F., Stark, P., Sharma, A., Caimi, D., Offrein, B. J., … & Abel, S. (2021, June). A Non-Volatile Optical Memory in Silicon Photonics. In 2021 Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE. https://ieeexplore.ieee.org/abstract/document/9489522
Mesaritakis, C., Sozos, K., Dermanis, D., & Bogris, A. (2021). Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators. arXiv preprint arXiv:2101.04487.
Mesaritakis, C., Sozos, K., Dermanis, D., & Bogris, A. (2021). Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators. In 2021 Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE. https://ieeexplore.ieee.org/document/9489815
Deligiannidis, S., Mesaritakis, C., & Bogris, A. (2021). Performance and complexity analysis of bi-directional recurrent neural network models vs. volterra nonlinear equalizers in digital coherent systems. arXiv preprint arXiv:2103.03832.
Deligiannidis, S., Mesaritakis, C., & Bogris, A. (2021). Performance and complexity analysis of bi-directional recurrent neural network models vs. volterra nonlinear equalizers in digital coherent systems. Journal of Lightwave Technology, 39(18), 5791-5798. DOI: 10.1109/JLT.2021.3092415
Sozos, K., Mesaritakis, C., & Bogris, A. (2021, June). Reservoir Computing based on Mutually Injected Phase Modulated Lasers: A monolithic integration approach suitable for short-reach communication systems. In Optical Fiber Communication Conference (pp. W6A-4). Optical Society of America. In 2021 Optical Fiber Communications Conference and Exhibition (OFC) (pp. 1-3). IEEE. https://www.osapublishing.org/abstract.cfm?URI=OFC-2021-W6A.4
Sozos, K., Bogris, A., Bienstman, P., & Mesaritakis C., Photonic Reservoir Computing based on Optical Filters in a Loop as a High Performance and Low-Power Consumption Equalizer for 100 Gbaud Direct Detection Systems. In 2021 European Conference on Optical Communications (ECOC). IEEE.
Skontranis, M., Sarantoglou, G., Deligiannidis, S., Bogris, A., & Mesaritakis, C. (2020, December). Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network. In 2020 European Conference on Optical Communications (ECOC) (pp. 1-4). IEEE. DOI: 10.1109/ECOC48923.2020.9333320