125 citations · 348 across the 15 of their papers we have counts for
15 papers
VCSEL-based PAM-4 transmission system emulator: A data-driven deep learning perspective
Stavros Deligiannidis, Nikos Argyris, Stefanos Dris +4
We demonstrate a data-driven framework for emulating high-speed VCSEL-based 4-level Pulse Amplitude Modulation (PAM-4) optical interconnects using bidirectional Long Short-Term Mem…
Earthquake Distance and Magnitude Estimation via Calibrated Microwave Frequency Fiber Interferometry
Stavros Deligiannidis, Yuhan Wang, Christos Simos +5
We present a calibration framework for a Microwave Frequency Fiber Interferometer (MFFI) aimed at estimating earthquake distance and magnitude, with the long-term goal of enabling…
Microwave Frequency Fiber Interferometry in Submarine Deployed Telecommunication Cables
A. Bogris, C. Simos, I. Simos +5
We operated a microwave frequency fiber interferometer in a telecommunication cable in the Ionian Sea, Greece, for two months. The capability of detecting undersea micro earthquake…
Experimental Analysis of a Self-Coherent M-QAM Receiver by Means of Recurrent Optical Spectrum Slicing and Direct Detection
Kostas Sozos, Francesco Da Ros, Senior Member Optica +6
High order modulation formats constitute the most prominent way for increasing spectral efficiency in transmission systems. Coherent transceivers that support such higher order for…
Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection systems using Programmable Photonics
Kostas Sozos, Francesco Da Ros, Metodi P. Yankov +4
In this paper, we experimentally validate our previous numerical works in recurrent optical spectrum slicing (ROSS) accelerators for dispersion compensation in high-speed IM/DD lin…
Photonic Neuromorphic Accelerator for Convolutional Neural Networks based on an Integrated Reconfigurable Mesh
Aris Tsirigotis, Gerge Sarantoglou, Stavros Deligiannidis +5
In this work, we present and experimentally validate a passive photonic-integrated neuromorphic accelerator that uses a hardware-friendly optical spectrum slicing technique through…
Photonic Neuromorphic Accelerators for Event-Based Imaging Flow Cytometry
Ioannis Tsilikas, Aris Tsirigotis, George Sarantoglou +5
In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high-capturing rate and data sparsity of an event-based…
Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides
Kostas Sozos, Stavros Deligiannidis, Charis Mesaritakis +1
In this work we numerically analyze a photonic unconventional accelerator based on the four-wave mixing effect in highly nonlinear waveguides. The proposed scheme can act as a full…
Multichannel Nonlinear Equalization in Coherent WDM Systems based on Bi-directional Recurrent Neural Networks
Stavros Deligiannidis, Kyle R. H. Bottrill, Kostas Sozos +3
Kerr nonlinearity in the form of self- and cross-phase modulation imposes a fundamental limitation to the capacity of wavelength division multiplexed (WDM) optical communication sy…
Integrated Photonic Accelerator Based on Optical Spectrum Slicing for Convolutional Neural Networks
Aris Tsirigotis, George Sarantoglou, Stavros Deligiannidis +3
In this work we numerically analyze a passive photonic integrated neuromorphic accelerator based on hardware-friendly optical spectrum slicing nodes. The proposed scheme can act as…
High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks
K. Sozos, A. Bogris, P. Bienstman +3
Neuromorphic Computing implemented in photonic hardware is one of the most promising routes towards achieving machine learning processing at the picosecond scale, with minimum powe…
Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems
Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
We investigate the complexity and performance of recurrent neural network (RNN) models as post-processing units for the compensation of fibre nonlinearities in digital coherent sys…
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network
Menelaos Skontranis, George Sarantoglou, Stavros Deligiannidis +2
We present results of a deep photonic spiking convolutional neural network, based on two-section VCSELs, targeting image classification. Training is based on unsupervised spike-tim…
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing
Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis +1
We introduce the use of Fabry-Perot (FP) lasers as potential neuromorphic computing machines with parallel processing capabilities. With the use of optical injection between a mast…
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis +1
We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in digital coherent syste…