Alessio Lugnan

Alessio Lugnan

Universiteit Gent

H-index: 6

Europe-Belgium

About Alessio Lugnan

Alessio Lugnan, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Photonics, machine learning, reservoir computing, optical neural networks, neuromorphic computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Photonic Neural Networks Based on Integrated Silicon Microresonators

Performance enhancement via synaptic plasticity in an integrated photonic recurrent neural network with phase-change materials

Training a spiking neural network on an event-based label-free flow cytometry dataset

Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression

Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks

Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning

Flow cytometry with event-based vision and spiking neuromorphic hardware

Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity

Alessio Lugnan Information

University

Position

PhD student

Citations(all)

165

Citations(since 2020)

160

Cited By

52

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Universiteit Gent

Google Scholar

View Google Scholar Profile

Alessio Lugnan Skills & Research Interests

Photonics

machine learning

reservoir computing

optical neural networks

neuromorphic computing

Top articles of Alessio Lugnan

Title

Journal

Author(s)

Publication Date

Photonic Neural Networks Based on Integrated Silicon Microresonators

Stefano Biasi

Giovanni Donati

Alessio Lugnan

Mattia Mancinelli

Emiliano Staffoli

...

2024/1/16

Performance enhancement via synaptic plasticity in an integrated photonic recurrent neural network with phase-change materials

Alessio Lugnan

Samarth Aggarwal

Frank Brückerhoff-Plückelmann

Wolfram HP Pernice

Harish Bhaskaran

...

2023/6/26

Training a spiking neural network on an event-based label-free flow cytometry dataset

arXiv preprint arXiv:2303.10632

Muhammed Gouda

Steven Abreu

Alessio Lugnan

Peter Bienstman

2023/3/19

Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression

IEEE Journal of Selected Topics in Quantum Electronics

Muhammed Gouda

Alessio Lugnan

Joni Dambre

Gerd van den Branden

Christoph Posch

...

2023/2/10

Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks

Peter Bienstman

Alessio Lugnan

S Aggarwal

F Bruckerhoff-Pluckelmann

WHP Pernice

...

2023

Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning

arXiv preprint arXiv:2312.03802

Alessio Lugnan

Samarth Aggarwal

Frank Brückerhoff-Plückelmann

C David Wright

Wolfram HP Pernice

...

2023/12/6

Flow cytometry with event-based vision and spiking neuromorphic hardware

Steven Abreu

Muhammed Gouda

Alessio Lugnan

Peter Bienstman

2023

Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity

Alessio Lugnan

Santiago Garcia-Cuevas Carrillo

Junchao Song

Samarth Aggarwal

Frank Brückerhoff-Plückelmann

...

2023/7/2

Object classification system and method

2022/10/18

Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node

Optics Express

Alessio Lugnan

Santiago García-Cuevas Carrillo

C David Wright

Peter Bienstman

2022/7/4

Event-based vision for improved classification accuracy in label-free flow cytometry

Muhammed Gouda Ahmed Gouda

Alessio Lugnan

Joni Dambre

Gerd Van den Branden

Christoph Posch

...

2022

Coherent optical computing in silicon photonics

Peter Bienstman

Alessio Lugnan

Chonghuai Ma

Stijn Sackesyn

Emmanuel Gooskens

...

2022

Photonic neuromorphic computing using silicon chips

Peter Bienstman

Joni Dambre

Alessio Lugnan

Stijn Sackesyn

Chonghuai Ma

...

2021

Silicon photonics for brain-inspired neuromorphic information processing

Peter Bienstman

Joni Dambre

Alessio Lugnan

Stijn Sackesyn

Chonghuai Ma

...

2021

Reservoir computing for high-speed photonic information processing

Peter Bienstman

Joni Dambre

Alessio Lugnan

Stijn Sackesyn

Chonghuai Ma

...

2021

Photonic reservoir computing for high-speed neuromorphic computing applications

Alessio Lugnan

Stijn Sackesyn

Chonghuai Ma

Emmanuel Gooskens

Muhammed Gouda Ahmed Gouda

...

2021

Photonics-based machine learning to speed up and simplify label-free flow cytometry

Alessio Lugnan

2021

System-level simulation for integrated phase-change photonics

Journal of Lightwave Technology

Santiago García-Cuevas Carrillo

Alessio Lugnan

Emanuele Gemo

Peter Bienstman

Wolfram HP Pernice

...

2021/7/26

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry

Scientific Reports

Alessio Lugnan

Emmanuel Gooskens

Jeremy Vatin

Joni Dambre

Peter Bienstman

2020/11/26

Mixing wave-based computing

2020/7/16

See List of Professors in Alessio Lugnan University(Universiteit Gent)