6 citations · 14 across the 3 of their papers we have counts for
8 papers
Introduction to phase transmission fibre-optic sensing of seismic waves
Andreas Fichtner, Adonis Bogris, Thomas Nikas +6
This manuscript is concerned with phase changes of signals transmitted through deforming optical fibres. As a first result, it establishes an exact relation between observable phas…
Fast all-optical random number generator
Jiamin Zhao, Pu Li, Xing Zhang +5
We propose a simple and all-optical method for fast random number generation based on the laser mode hopping. Through periodically restarting a two-mode laser operating in the bist…
Microwave frequency dissemination systems as sensitive and low-cost interferometers for earthquake detection on commercially deployed fiber cables
Adonis Bogris, Christos Simos, Iraklis Simos +6
We experimentally demonstrate a microwave frequency dissemination system operating as a sensitive interferometric sensor of seismic waves on commercially deployed fiber networks in…
Reservoir Computing based on Mutually Injected Phase Modulated Semiconductor Lasers as a monolithic integrated hardware accelerator
Kostas Sozos, Charis Mesaritakis, Adonis Bogris
In this paper we propose and numerically study a neuromorphic computing scheme that applies delay-based reservoir computing in a laser system consisting of two mutually coupled pha…
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…