Uiara Celine de Moura

Uiara Celine de Moura

Danmarks Tekniske Universitet

H-index: 16

Europe-Denmark

About Uiara Celine de Moura

Uiara Celine de Moura, With an exceptional h-index of 16 and a recent h-index of 12 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Optical networks, optical amplifiers, machine learning.

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

Generation of electro-optic frequency combs with optimized flatness in a silicon ring resonator modulator

Génération de peignes de fréquences électro-optiques avec planéité optimisée dans un modulateur à microrésonateur en anneau en silicium

Neural network modeling of bismuth-doped fiber amplifier

Fiber-agnostic machine learning-based Raman amplifier models

Online versus offline optimization methods for Raman amplifier optimization

Machine learning applied to inverse systems design

Comparison of models for training optical matrix multipliers in neuromorphic pics

Modeling of optical matrix multipliers using transposed convolutional neural networks

Uiara Celine de Moura Information

University

Position

___

Citations(all)

698

Citations(since 2020)

485

Cited By

359

hIndex(all)

16

hIndex(since 2020)

12

i10Index(all)

24

i10Index(since 2020)

16

Email

University Profile Page

Danmarks Tekniske Universitet

Google Scholar

View Google Scholar Profile

Uiara Celine de Moura Skills & Research Interests

Optical networks

optical amplifiers

machine learning

Top articles of Uiara Celine de Moura

Title

Journal

Author(s)

Publication Date

Generation of electro-optic frequency combs with optimized flatness in a silicon ring resonator modulator

arXiv preprint arXiv:2310.20233

Erwan Weckenmann

Thyago Monteiro

Uiara Celine de Moura

Francesco Da Ros

Laurent Bramerie

...

2023/10/31

Génération de peignes de fréquences électro-optiques avec planéité optimisée dans un modulateur à microrésonateur en anneau en silicium

Erwan Weckenmann

Thyago Monteiro

Francesco da Ros

Uiara Celine de Moura

Laurent Bramerie

...

2023/6/19

Neural network modeling of bismuth-doped fiber amplifier

Journal of the European Optical Society-Rapid Publications

Aleksandr Donodin

Uiara Celine De Moura

Ann Margareth Rosa Brusin

Egor Manuylovich

Vladislav Dvoyrin

...

2023

Fiber-agnostic machine learning-based Raman amplifier models

Journal of Lightwave Technology

Uiara C de Moura

Darko Zibar

A Margareth Rosa Brusin

Andrea Carena

Francesco Da Ros

2022/9/29

Online versus offline optimization methods for Raman amplifier optimization

UC de Moura

T Pinto

AM Rosa Brusin

A Carena

A Napoli

...

2022/7/3

Machine learning applied to inverse systems design

Uiara C de Moura

Francesco Da Ros

Darko Zibar

Ann Margareth Rosa Brusin

Andrea Carena

2022/5/16

Comparison of models for training optical matrix multipliers in neuromorphic pics

Ali Cem

Siqi Yan

Uiara Celine de Moura

Yunhong Ding

Darko Zibar

...

2022/3/6

Modeling of optical matrix multipliers using transposed convolutional neural networks

Ali Cem

Siqi Yan

Uiara Celine De Moura

Yunhong Ding

Darko Zibar

...

2022/11/13

Flexible Raman amplifier optimization based on machine learning-aided physical stimulated Raman scattering model

Journal of Lightwave Technology

Metodi Plamenov Yankov

Francesco Da Ros

Uiara Celine de Moura

Andrea Carena

Darko Zibar

2023/1/15

Power evolution modeling and optimization of fiber optic communication systems with EDFA repeaters

Journal of Lightwave Technology

Metodi Plamenov Yankov

Uiara Celine de Moura

Francesco Da Ros

2021/2/24

Optimization of Raman amplifiers using machine learning

UC De Moura

F Da Ros

D Zibar

AM Rosa Brusin

A Carena

2021/7/19

Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning

Optics Letters

Uiara Celine de Moura

Ann Margareth Rosa Brusin

Andrea Carena

Darko Zibar

Francesco Da Ros

2021/3/1

Optimization of frequency combs spectral-flatness using evolutionary algorithm

Optics Express

Thyago Pinto

Uiara C de Moura

Francesco Da Ros

Marko Krstić

Jasna V Crnjanski

...

2021/7/19

Experimental characterization of Raman amplifier optimization through inverse system design

Journal of Lightwave Technology

Uiara C de Moura

Francesco Da Ros

A Margareth Rosa Brusin

Andrea Carena

Darko Zibar

2021/2/15

Machine learning enabled Raman amplifiers

D Zibar

UC de Moura

AM Rosa Brusin

A Carena

F Da Ros

2021/6/21

Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

F Da Ros

UC de Moura

RS Luis

G Rademacher

BJ Puttnam

...

2021

Generalization properties of machine learning-based Raman models

UC de Moura

D Zibar

AM Rosa Brusin

A Carena

F Da Ros

2021/6/6

Optimization of a hybrid EDFA-Raman C+ L band amplifier through neural-network models

F Da Ros

UC de Moura

RS Luis

G Rademacher

BJ Puttnam

...

2021/6/6

Multi-band programmable gain Raman amplifier for high-capacity optical networks

UC de Moura

MA Iqbal

M Kamalian

L Krzczanowicz

F Da Ros

...

2021/10/18

Experimental demonstration of arbitrary Raman gain–profile designs using machine learning

Uiara C de Moura

Francesco Da Ros

A Margareth Rosa Brusin

Andrea Carena

Darko Zibar

2020/3/8

See List of Professors in Uiara Celine de Moura University(Danmarks Tekniske Universitet)

Co-Authors

H-index: 44
Andrea Carena

Andrea Carena

Politecnico di Torino

H-index: 42
Darko Zibar

Darko Zibar

Danmarks Tekniske Universitet

H-index: 19
Neil Guerrero Gonzalez

Neil Guerrero Gonzalez

Universidad Nacional de Colombia

H-index: 18
Murilo Araujo Romero

Murilo Araujo Romero

Universidade de São Paulo

H-index: 17
Miquel Garrich Alabarce

Miquel Garrich Alabarce

Universidad Politécnica de Cartagena

H-index: 13
Amilcar  Careli Cesar

Amilcar Careli Cesar

Universidade de São Paulo

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