U
Uiara Celine de Moura
Researcher at Technical University of Denmark
Publications - 54
Citations - 519
Uiara Celine de Moura is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Optical amplifier & Amplifier. The author has an hindex of 11, co-authored 49 publications receiving 356 citations. Previous affiliations of Uiara Celine de Moura include State University of Campinas.
Papers
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Journal ArticleDOI
Inverse System Design Using Machine Learning: The Raman Amplifier Case
Darko Zibar,Ann Margareth Rosa Brusin,Uiara Celine de Moura,Francesco Da Ros,Vittorio Curri,Andrea Carena +5 more
TL;DR: In this article, a method for inverse system design using machine learning was proposed and applied to Raman amplifier design, which can be applied to other inverse problems in optical communication and photonics in general.
Proceedings ArticleDOI
Demonstration of EDFA cognitive gain control via GMPLS for mixed modulation formats in heterogeneous optical networks
Juliano R. F. Oliveira,Antonio Caballero,Eduardo Magalhães,Uiara Celine de Moura,Robert Borkowski,Giovanni Curiel,Alberto Hirata,L. Hecker,E. Porto,Darko Zibar,J. Maranhao,Idelfonso Tafur Monroy,Julio C. R. F. Oliveira +12 more
TL;DR: Cognitive gain control for EDFA operation in real-time GMPLS controlled heterogeneous optical testbed with 10G/100G/200G/400G/500G lightpaths is demonstrated.
Proceedings ArticleDOI
EDFA adaptive gain control effect analysis over an amplifier cascade in a DWDM optical system
TL;DR: In this paper, the adaptive EDFA scheme aims to optimize NF and GF spectra by adjusting its setpoint gain based on static information about these parameters and was improved here to prioritize NF when BER of the received signal remains under the FEC limit.
Journal ArticleDOI
Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers
TL;DR: A new NN model is introduced that can predict both gain and ASE noise profiles in Raman amplifiers with high accuracy under any load conditions and is shown to have higher accuracy when the line system is not fully loaded.
Journal ArticleDOI
Multi–Band Programmable Gain Raman Amplifier
Uiara Celine de Moura,Asif Iqbal,Morteza Kamalian,Lukasz Krzczanowicz,Francesco Da Ros,Ann Margareth Rosa Brusin,Andrea Carena,Wladek Forysiak,Sergei K. Turitsyn,Darko Zibar +9 more
TL;DR: A multi–band (S+C+L) programmable gain optical amplifier is experimentally demonstrated using only Raman effects and machine learning to allow for signal power spectrum shaping.