RESEARCH UNIT ON NEUROMORPHIC COMPUTING AND PHOTONICS (RNCP)
REASEARCH ACTIVITIES
Photonic neuromorphic computing is a rapidly evolving scientific field which attracts the interest worldwide due to its intrinsic scientific value and the niche applications it can enable. Bio-inspired computing can be performed in photonics with the use of pulsed lasers and complex waveguide structures achieving neuron-like behavior in unprecedented speeds and low consumption. The intrinsic parallelism of photonic circuits paves the wave for enhanced connectivity and scalability so as to solve complex problems at the speed of photons. RNCP members have a strong activity in the area as can be found in the publication record and in the participation in EU and national R&D projects.
Optical communication systems suffer from linear and nonlinear effects of the optical channel. Although modern ASICs can handle linear effects such as polarization mode dispersion and chromatic dispersion, the major limitation regarding the maximum capacity that can be achieved comes from the nonlinearities attributed to Kerr effect. RCNP investigates state of the art recursive neural networks and reservoir computing techniques so as to mitigate the nonlinear effects in long-haul WDM transmission systems. The same activity seeks for applying low complexity machine learning algorithms in short-area networks where consumption matters.
One of the key areas that MCP has invested is the envision-design and development of cryptographic devices based on electronic-photonics hardware for cyber-physical applications. In particular MCP has developed multiple designs of optical modules as non-replicable authentication tokens and secure pseudo-random generators able to be integrated in IoT ecosystems and solidifying their resilience against cyber-physical attacks. More importantly MCP is working towards combining its solid background on neuromoprhic engineering and crypto-systems, so as to spawn a new generation of electronic-photonic neuro-cryptographic devices able to offer a twofold advantage. On one hand, provide solid security features, such as data encryption and authentication, based on physical properties and secondly employ the same modules for anomaly detection and edge machine learning
RNCP PROJECTS
RNCP PEOPLE
RNCP Unit Directors
RNCP Researchers – PhD Students
RNCP PUBLICATIONS
Publications in international scientific journals
- K. Sozos, A. Bogris, P. Bienstman, G. Sarantoglou, S. Deligiannidis, C. Mesaritakis, “High-Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks” submitted for publication to Communications Engineering – Nature, (2022)
- G. Sarantoglou, A. Bogris, C. Mesaritakis, S. Thodoridis, “Bayesian Photonic Accelarators for Energy Efficient and Noise Robust Neural Processing” (invited) IEEE Selected Topics in Quantum Electronics, to appear (2022)
- Dermanis, A. Bogris, P. Rizomiliotis, C. Mesaritakis, “Photonic Physical Unclonable Function based on an Integrated Neuromorphic schemes” submitted for publication in IEEE Journal of Lightwave Technology. (2022)
- Μ. Skontranis, G. Sarantoglou, A. Bogris, C. Mesaritakis, “Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser” OSA Material Optics Express (2022) to appear.
- Υ. Hong, S. Deligiannidis, N. Taengnoi, K. R. H. Bottrill, N. K. Thipparapu, Y. Wang, J. K. Sahu, David J. Richardson, C. Mesaritakis, A. Bogris, and P. Petropoulos, “ML-assisted Equalization for 50-Gb/s/λ O-band CWDM Transmission over 100-km SMF” IEEE Selected Topics in Quantum Electronics 10.1109/JSTQE.2022.3155990 (2022).
- Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Experimental study of Neuromorphic Node based on a Multi- Waveband Emitting two – section Quantum Dot Laser” OSA Photonic Research, Vol. 9, No. 4 pp. B87 doi: 10.1364/PRJ.413371 (2021)
- Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network” Appl. Sci. 2021, 11(4) (2021)
- Sozos, C. Mesaritakis, A. Bogris “Monolithic Integrated Optoelectronic Reservoir Computing Processor based on Mutually Injected Phase Modulated Semiconductor Lasers” IEEE Selected Topics in Quantum Electronics accepted for publication (2021)
- S. Deligiannidis, C. Mesaritakis, A. Bogris, “Performance and Complexity Analysis of i-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems”, ΙΕΕΕ Journal of Lightwave Technology , Vol.39, No.18 pp. 5791 (2021) (Impact Factor: 4.142)
- M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Time-Multiplexed Spiking Convolutional Neural Network based on VCSELs for Unsupervised Image Classification”, Applied Sciences, accepted for publication (2021) (Impact Factor: 2,474)
- G. Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Experimental study of Neuromorphic Node based on a Multi- Waveband Emitting two – section Quantum Dot Laser” OSA Photonic Research, doi: 10.1364/PRJ.413371 (2021) (Impact Factor: 6.099)
- M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network” MDPI Applied Sciences, special issue on Optical Computing, accepted for publication (2021) (Impact Factor: 2.471)
- Bogris, C. Mesaritakis, Stavros Deligiannidis, Pu Li “All Optical Integrate and Fire Neuromorphic Node based on Single Section Quantum Dot Laser” IEEE Selected Topics in Quantum Electronics, Volume: 27, Issue: 2, (2020) (Impact Factor: 4.681)
- Mesaritakis, P. Rizomiliotis, M. Akriotou, C. Chaintoutis, A. Fragkos, D. Syvridis “Photonic Pseudo-Random Number Generator for Internet-of-Things Authentication using a Waveguide based Physical Unclonable Function” Arxiv.org (2020)
- Deligiannidis, A. Bogris, C. Mesaritakis, Y. Kopsinis, “Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks” ΙΕΕΕ Journal of Lightwave Technology Volume: 38, Issue: 21, pp. 5991-5999 (2020) (Impact Factor: 4.288)
- Sarantoglou, M. Skontranis, C. Mesaritakis, “All Optical Integrate and Fire Neuromorphic Node based on Single Section Quantum Dot Laser” IEEE Selected Topics in Quantum Electronics, accepted for publication (2019) (Impact Factor: 4.681)
Conference Proceedings
- A. Tsirigotis, I. Tsilikas, K. Sozos, A. Bogris, C. Mesaritakis “Filter-Based Photonic Reservoir Computing as a key-enabling platform for all-optical high-speed processing of time-stretched images and telecomm data” (invited) SPIE Photonics West, AI and Optical Data Sciences III, San Francisco USA 24-26 February 2022.
- A. Bogris, C. Simos, I. Simos, T. Nikas, N. Melis, K. Lentas. C. Mesaritakis, I. Chochliouros, C. Lessi, ” Microwave frequency dissemination systems as sensitive and low-cost interferometers for earthquake detection on commercially deployed fiber cables”, OFC 2022, San Francisco USA
- G. Sarantoglou, K. Sozos, T. Kamalakis, C. Mesaritakis, A. Bogris, “Experimental demonstration of an extreme learning machine based on Fabry Perot lasers for parallel neuromorphic processing” OFC 2022, San Francisco USA
- K. Sozos, A. Bogris, P. Bienstman, C. Mesaritakis, “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” ECOC, Bordeaux France 2021
- A. Bogris, K. Sozos, A. Tsirigotis, C. Mesaritakis, “Neuromorphic Integrated Photonics as Hardware Accelerators for Ultra-high Speed Telecom and Imaging Applications” Photonics in Switching and Computing, OSA Virtual Conference (invited) (2021)
- M. Skontranis, G. Sarantoglou, A. Bogris, C. Mesaritakis, “Photonic Spiking Convolutional Neural Networks for High-Speed Image Processing” (Invited) IEEE Summer Topical Meetings 2021 19- 21 July Virtual Conference (2021)
- C. Mesaritakis, K. Sozos, D. Dermanis, A. Bogris, “Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators” OFC USA 2021
- K. Sozos, C. Mesaritakis, A. Bogris, “Reservoir Computing based on Mutually Injected Phase Modulated Lasers: A monolithic integration approach suitable for short-reach communication systems”, OFC USA 2021
- Y. Hong; S. Deligiannidis; N. Taengnoi; K. Bottrill; N. Thipparapu; Y. Wang; J. Sahu; D. Richardson; C. Mesaritakis; A. Bogris; P. Petropoulos, «Performance-enhanced Amplified O-band WDM
Transmission using Machine Learning based Equalization» CLEO San Hose-USA (2021), - G. Sarantoglou, M. Skontranis,A. Bogris, C. Mesaritakis, “Resonate and Fire Neuromorphic Node based on two – section Quantum Dot Laser with multi-waveband dynamics”, ECOC-CLEO– Brussels, December (2020)
- M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis,”Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network”, ECOC-CLEO– Brussels, December (2020)
- S. Deligiannidis, C. Mesaritakis, A. Bogris, “Performance and Complexity Evaluation of Recurrent Neural Network Models for Fibre Nonlinear Equalization in Digital Coherent Systems”, ECOC – Brussels, December (2020)
- Mesaritakis, M. Skontranis, G. Sarantoglou, A. Bogris, “Micro-Ring-Resonator Based Passive Photonic Spike-Time- Dependent-Plasticity Scheme for Unsupervised Learning in Optical Neural Networks” OFC USA – San Diego, March (2020)
- Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Temporal Resolution Enhancement in Quantum-Dot Laser Neurons due to Ground State Quenching Effects” OFC USA – San Diego, March (2020)
- A. Bogris “Multi-mode lasers as potential machines for reservoir computing of enhanced power” ERC International Workshop – Invited – Photonic Reservoir Computing and Information Processing in Complex Networks, Trento-Italy (2019)
- Mesaritakis “Passive Photonic Components as Building Blocks for Ultra-Fast Reservoir Computing and as Photonic Spike Dependent Plasticity Enabling Structures” ERC International Workshop – Invited – Photonic Reservoir Computing and Information Processing in Complex Networks, Trento-Italy (2019)
- Mesaritakis, “Photonic Reservoir Computing based on the Random-Interaction of Transverse Optical Modes in Large-Cross Section Waveguides” CLEO/EQEC Europe, Munich-Germany (2019)
- Μ. Skontranis, G. Sarantoglou, C. Mesaritakis, “Inhibitory Integrate and Fire Neuron based on Quantum-Dot Intra-Band Transitions in a Semiconductor Laser” CLEO/EQEC Europe, Munich-Germany (2019)
- Μ. Skontranis, G. Sarantoglou, C. Mesaritakis, “All-optical Inhibitory Integrate and Fire Neuron based on a Single-Section Quantum-Dot Semiconductor Laser” CLEO USA, San-Diego California USA (2019)
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RNCP
Ag. Spyridonos, 122 43 Egaleo,
Attica, Greece
email: Adonis Bogris: abogris@uniwa.gr || Charis Mesaritakis: cmesar@aegean.gr
web: rncp.eu