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Profil bibliographique

George Sarantoglou

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

35Publications signalées
189Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Neural Networks and Reservoir ComputingPhotonic and Optical DevicesOptical Network TechnologiesAdvanced Memory and Neural ComputingAdvanced Photonic Communication Systems

Les publications récentes

Accès ouvert 2026 article OpenAlex

Experimental Analysis of a Self-Coherent M-QAM Receiver by Means of Recurrent Optical Spectrum Slicing and Direct Detection

Kostas Sozos, Francesco Da Ros, Metodi P. Yankov, Stavros Deligiannidis et autres

High order modulation formats constitute the most prominent way for increasing spectral efficiency in transmission systems. Coherent transceivers that support such higher order formats require heavy digital signal processing (DSP), which increases the power consumption of coherent pluggables, well above the intensity …

gr, dk (code pays fourni par la source)

0 citations Journal of Lightwave Technology
2026 article OpenAlex

Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides

Kostas Sozos, Dimitrios Spanos, Stavros Deligiannidis, George Sarantoglou et autres

Photonic neural networks have attracted intense interest during the past decade, with an extensive number of propositions trying to mimic various forms of the established digital models. This field envisages low-power and low-latency, highly parallelized hardware implementations that count on the vast …

gr (code pays fourni par la source)

4 citations Optics Letters
2026 article OpenAlex

Experimental Analysis of a Self-Coherent M-QAM Receiver by Means of Recurrent Optical Spectrum Slicing and Direct Detection

Kostas Sozos, Francesco Da Ros, Metodi P. Yankov, Stavros Deligiannidis et autres

High order modulation formats constitute the most prominent way for increasing spectral efficiency in transmission systems. Coherent transceivers that support such higher order formats require heavy digital signal processing (DSP), which increases the power consumption of coherent pluggables, well above the intensity …

gr, dk (code pays fourni par la source)

0 citations Journal of Lightwave Technology
2025 conference-paper OpenAlex

Recurrent Optical Spectrum Slicers as Multi- $\lambda$ Processors for WDM Optical Equalization of IM/DD Channels

Kostas Sozos, Francesco Da Ros, George Sarantoglou, Charis Mesaritakis et autres

We report recurrent optical spectrum slicers as multi-wavelength optical processors in dispersion impaired IM/DD transmission systems with the use of programmable photonics. We demonstrate simultaneous equalization of three$64 ~\text{Gb} / \mathrm{s}$PAM-4 wavelengths after 75 km in the C-band and high tolerance to …

gr, dk (code pays fourni par la source)

0 citations
Accès ouvert 2025 preprint OpenAlex

Recurrent Optical Spectrum Slicers as multi-λ processors for WDM optical equalization of IM/DD channels

Kostas Sozos, Francesco Da Ros, George Sarantoglou, Charis Mesaritakis et autres

We report recurrent optical spectrum slicers as multi-wavelength optical processors in dispersion impaired IM/DD transmission systems with the use of programmable photonics. We demonstrate simultaneous equalization of three 64 Gb/s PAM-4 wavelengths after 75 km in the C-band and high tolerance to …

0 citations arXiv (Cornell University)
Accès ouvert 2025 erratum OpenAlex

Author Correction: Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh

Aris Tsirigotis, George Sarantoglou, Stavros Deligiannidis, Erica Sánchez et autres

In the version of the article initially published, David Sanchez (iPronics Programmable Photonics, Valencia, Spain) was not listed as an author as is now amended in the HTML and PDF versions of the article.

gr, es (code pays fourni par la source)

0 citations Communications Engineering
2025 conference-paper OpenAlex

Programmable Photonic Chips as Versatile Physical Unclonable Functions

Georgios Aias Karydis, George Sarantoglou, Benoı̂t Charbonnier, Olivier Castany et autres

Advancements in integrated photonic technology are making it feasible to construct dense, complex photonic circuits, tailored for multiple high-end applications. These circuits are now evolving into programmable platforms which offer enhanced functionalities in optical communications, computing and microwave photonics [1]. Up to …

gr, fr (code pays fourni par la source)

0 citations
2025 article OpenAlex

Reconfigurable integrated photonic chips as dual-purpose neuromorphic accelerators and physical unclonable functions

George Sarantoglou, Francesco Da Ros, Kostas Sozos, Adonis Bogris et autres

In this work, we experimentally validate the dual use of a reconfigurable photonic integrated mesh as a neuromorphic accelerator, targeting signal equalization, and as a physical unclonable function offering authentication at the hardware level. The processing node is an optical spectrum slicing …

gr, dk (code pays fourni par la source)

2 citations Optics Letters
Accès ouvert 2025 preprint OpenAlex

Reconfigurable Integrated Photonic Chips as Dual-Purpose Neuromorphic Accelerators and Physical Unclonable Functions

George Sarantoglou, Francesco Da Ros, Kostas Sozos, Adonis Bogris et autres

In this work, we experimentally validate the dual use of a reconfigurable photonic integrated mesh as a neuromorphic accelerator, targeting signal equalization, and as a physical unclonable function offering authentication at the hardware level. The processing node is an optical spectrum slicing …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh

Aris Tsirigotis, George Sarantoglou, Stavros Deligiannidis, Erica Sánchez et autres

Photonic accelerators have risen as energy efficient, low latency counterparts to computational hungry digital modules for machine learning applications. On the other hand, upscaling integrated photonic circuits to meet the demands of state-of-the-art machine learning schemes such as convolutional layers, remains challenging. …

gr, es (code pays fourni par la source)

8 citations Communications Engineering
2025 conference-paper OpenAlex

Neuromorphic Physical Unclonable Function and Self-Coherent Receiver based on a Reconfigurable Photonic Circuit

George Sarantoglou, Francesco Da Ros, Kostas Sozos, Metodi P. Yankov et autres

Abstract: We experimentally investigate a neuromorphic receiver which addresses impairments of a 32 Gbaud self-coherent QPSK transmission and simultaneously generates unclonable responses with an equal error below 10–9 suitable for security in the physical layer.

gr, dk (code pays fourni par la source)

0 citations

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