5 citations · 12 across the 22 of their papers we have counts for
11 papers · 1 filter
Programmable Optical Spectrum Shapers as Computing Primitives for Accelerating Convolutional Neural Networks
Georgios Moustakas, Adonis Bogris, Charis Mesaritakis
Photonic convolutional accelerators have emerged as low-energy alternatives to power-demanding digital convolutional neural networks, though they often face limitations in scalabil…
Reconfigurable Silicon Photonics Extreme Learning Machine with Random Non-linearities as Neural Processor and Physical Unclonable Function
George Sarantoglou, Georgios Aias Karydis, Adonis Bogris +1
An alternative extreme learning machine -ELM- paradigm is presented exploiting random non-linearities -RN, named RN-ELM, instead of a conventional fixed node non-linearity. This me…
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…
Recurrent Optical Spectrum Slicers as multi-λ processors for WDM optical equalization of IM/DD channels
Kostas Sozos, Francesco Da Ros, George Sarantoglou +2
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 dem…
Integrated recurrent optical spectral slicer for equalization of 100-km C-band IM/DD transmission
I. Teofilovic, K. Sozos, H. Liu +10
A silicon-photonics recurrent spectral filter is designed, fabricated, and system tested to pro-vide optical pre-processing in a 32-GBd PAM-4 C-band transmission. Performance below…
A VCSEL based Photonic Neuromorphic Processor for Event-Based Imaging Flow Cytometry Applications
M. Skontranis, G. Moustakas, A. Bogris +1
This work presents an optical neuromorphic imaging and processing cytometry system that integrates an excitable VCSEL-based time-delayed (TD) extreme learning machine with an event…
Reconfigurable Integrated Photonic Chips as Dual-Purpose Neuromorphic Accelerators and Physical Unclonable Functions
George Sarantoglou, Francesco Da Ros, Kostas Sozos +2
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 u…
Neuromorphic Imaging Flow Cytometry combined with Adaptive Recurrent Spiking Neural Networks
Georgios Moustakas, Ioannis Tsilikas, Adonis Bogris +1
We present an experimental imaging flow cytometer using a 1 μs temporal resolution event-based CMOS camera, with data processed by adaptive feedforward and recurrent spiking neural…
An All-Optical Metro Network Architecture and QoS-Aware Wavelength Allocation Study for Converged Fixed, Mobile, and Edge Computing Multi-Granular Traffic
David Georgantas, Zhaoyang Liu, Georgios Drainakis +3
In this paper, we introduce an all-optical metro network architecture, called MOON, to serve converged multigranular traffic from fixed, mobile, and edge computing services. Since…
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…