Uiara Celine de Moura

Ørsteds Plads, 343, 123
2800 Kgs. Lyngby
Denmark

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Uiara Celine de Moura is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

12 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or

7 Journal article
6 Article in proceedings
1 Book
1 Conference abstract for conference

Experimental characterization of Raman amplifier optimization through inverse system design
Moura, U. C. D., Da Ros, F., Brusin, A. M. R., Carena, A. & Zibar, D., 2021, (Accepted/In press) In: Journal of Lightwave Technology. 11 p.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
11 Downloads (Pure)
Power evolution modeling and optimization of fiber optic communication systems with EDFA repeaters
Yankov, M. P., Moura, U. C. D. & Da Ros, F., 2021, (Accepted/In press) In: Journal of Lightwave Technology. 8 p.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
4 Downloads (Pure)
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
de Moura, U. C., Rosa Brusin, A. M., Carena, A., Zibar, D. & da Ros, F., 1 Mar 2021, In: Optics Letters. 46, 5, p. 1157-1160
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
Advancing classical and quantum communication systems with machine learning
Zibar, D., Moura, U. C. D., Chin, H-M., Brusin, A. M. R., Jain, N., Da Ros, F., Kleis, S., Schaeffer, C., Gehring, T., Andersen, U. L. & Carena, A., 2020, Optical Fiber Communication Conference 2020. IEEE, 3 p. W1K.1
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
153 Downloads (Pure)
Experimental demonstration of arbitrary Raman gain-profile designs using machine learning
de Moura, U. C., Da Ros, F., Brusin, A. M. R., Carena, A. & Zibar, D., 2020, Optical Fiber Communication Conference 2020. IEEE, 3 p. T4B.2
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
57 Downloads (Pure)

1 Active

Performance prediction of optical systems using machine learning
Monteiro Sá Pinto, T., Zibar, D. & Moura, U. C. D.
01/09/2019 → 31/08/2022
Project: PhD

1 Conference presentations

Machine Learning for Raman Amplifier Design
Uiara Celine de Moura (Invited speaker)
13 Jul 2020
Activity: Talks and presentations › Conference presentations

File

Experimental characterization of Raman amplifier optimization through inverse system design

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

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

Advancing classical and quantum communication systems with machine learning

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

Performance prediction of optical systems using machine learning

Machine Learning for Raman Amplifier Design