Charis Mesaritakis

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Associate Professor

University of the Aegean

Greece

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About

Charis Mesaritakis is an Associate Professor at the University of the Aegean in Greece. His research focuses on neuromorphic computing and integrated photonic systems, as reflected in his recent articles on neuromorphic imaging flow cytometry, photonic accelerators for neural networks, and experimental investigations of optical spectrum slicing receivers. Dr. Mesaritakis aims to advance the field of unconventional computing through innovative photonic technologies.

Recent Grants

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NEBULA

Open Date: 2018-06-01

Close Date: 2021-05-01

Grant: Close

KONFIDO - Secure and Trusted Paradigm for Interoperable eHealth Services

Open Date: 2016-11-01

Close Date: 2019-10-31

Articles (20)

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2021

Collaborators (3)

Adonis Bogris

Professor

University of West Attica

GREECE

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Yu Wang

University of Southampton

UNITED KINGDOM

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Jayanta Kumar Sahu

University of Southampton

UNITED KINGDOM

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Charis Mesaritakis

Research Interests

Contact this professor

About

Recent Grants

Articles (20)

Neuromorphic imaging flow cytometry combined with adaptive recurrent spiking neural networks

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

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

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

Unconventional Computing Based on Four Wave Mixing in Highly Nonlinear Waveguides

Multichannel Nonlinear Equalization in Coherent WDM Systems Based on Bi-Directional Recurrent Neural Networks

All-Optical, Reconfigurable, and Power Independent Neural Activation Function by Means of Phase Modulation

Pseudo-Random Generator Based on a Photonic Neuromorphic Physical Unclonable Function

Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection Systems Using Programmable Photonics

Recurrent Neural Networks and Recurrent Optical Spectrum Slicers as Equalizers in High Symbol Rate Optical Transmission Systems

Self-Coherent Receiver Based on a Recurrent Optical Spectrum Slicing Neuromorphic Accelerator

Multimode Fabry-Perot laser as a reservoir computing and extreme learning machine photonic accelerator

ML-Assisted Equalization for 50-Gb/s/λ O-Band CWDM Transmission Over 100-km SMF

Photonic Physical Unclonable Function Based on Integrated Neuromorphic Devices

Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing

High-speed photonic neuromorphic computing using recurrent optical spectrum slicing neural networks

Time-delayed reservoir computing based on a dual-waveband quantum-dot spin polarized vertical cavity surface-emitting laser

Reservoir Computing Based on Mutually Injected Phase Modulated Semiconductor Lasers as a Monolithic Integrated Hardware Accelerator

Performance and Complexity Analysis of Bi-Directional Recurrent Neural Network Models Versus Volterra Nonlinear Equalizers in Digital Coherent Systems

Experimental study of neuromorphic node based on a multiwaveband emitting two-section quantum dot laser

Collaborators (3)

Adonis Bogris

Yu Wang

Jayanta Kumar Sahu

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