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Performance prediction of optical systems using machine learning
Pinto, Thyago Monteiro Sá
(PhD Student)
Liu, Zhixin
(Examiner)
Slavik, Radan
(Examiner)
Zibar, Darko
(Main Supervisor)
Moura, Uiara Celine de
(Supervisor)
Department of Electrical and Photonics Engineering
Machine Learning in Photonic Systems
Centre of Excellence for Silicon Photonics for Optical Communications
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/09/2019
→
14/12/2022
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Optical Frequency
Engineering
100%
Machine Learning Technique
Engineering
100%
Harmonics
Engineering
60%
Flatness
Engineering
60%
Light Detection and Ranging
Engineering
20%
Frequency Window
Engineering
20%
Optical Source
Engineering
20%
Power Profile
Engineering
20%
Research output
Publications per year
2022
2022
2022
1
Ph.D. thesis
Publications per year
Publications per year
Spectral Shaping of Electro-Optical frequency Combs using Machine Learning Techniques
Pinto, T. M. S.,
2022
,
Technical University of Denmark
.
90 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Optical Frequency
100%
Machine Learning Technique
100%
Silicon
100%
Resonator
100%
Harmonics
60%
346
Downloads (Pure)