125 citations · 388 across the 35 of their papers we have counts for
10 papers · 2 filters
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…