Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances

Andrei V. Ermolaev; Mathilde Hary; Mehdi Mabed; Lev Leybov; Piotr Ryczkowski; Anas Skalli; Daniel Brunner; Christophe Finot; Goery Genty; John M. Dudley

doi:10.1109/ICTON67126.2025.11125458

Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances

Andrei V. Ermolaev, Mathilde Hary, Mehdi Mabed, Lev Leybov, Piotr Ryczkowski, Anas Skalli, Daniel Brunner, Christophe Finot, Goery Genty, John M. Dudley

Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Recent years have seen tremendous interest studying the complex dynamics of guided wave propagation using data-driven machine learning. In this paper, we review our recent advances in this field, reporting how supervised and unsupervised machine learning techniques can deepen our understanding of complex nonlinear and dispersive interactions during optical fiber propagation.

Original language	English
Title of host publication	2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)
Editors	Crina Cojocaru, Salvatore Spadaro, Marian Marciniak
Publisher	IEEE
ISBN (Electronic)	9798331597771
DOIs	https://doi.org/10.1109/ICTON67126.2025.11125458
Publication status	Published - 2025
Publication type	A4 Article in conference proceedings
Event	International Conference on Transparent Optical Networks - Barcelona, Spain Duration: 6 Jul 2025 → 10 Jul 2025 Conference number: 25 https://icton2025.upc.edu/

Publication series

Name	International Conference on Transparent Optical Networks
ISSN (Print)	2161-2056
ISSN (Electronic)	2161-2064

Conference

Conference	International Conference on Transparent Optical Networks
Abbreviated title	ICTON 2025
Country/Territory	Spain
City	Barcelona
Period	6/07/25 → 10/07/25
Internet address	https://icton2025.upc.edu/

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/ICTON67126.2025.11125458

Cite this

Ermolaev, A. V., Hary, M., Mabed, M., Leybov, L., Ryczkowski, P., Skalli, A., Brunner, D., Finot, C., Genty, G., & Dudley, J. M. (2025). Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances. In C. Cojocaru, S. Spadaro, & M. Marciniak (Eds.), 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON) (International Conference on Transparent Optical Networks). IEEE. https://doi.org/10.1109/ICTON67126.2025.11125458

@inproceedings{94335acb22b54627a6606baeab9263b2,

title = "Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances",

abstract = "Recent years have seen tremendous interest studying the complex dynamics of guided wave propagation using data-driven machine learning. In this paper, we review our recent advances in this field, reporting how supervised and unsupervised machine learning techniques can deepen our understanding of complex nonlinear and dispersive interactions during optical fiber propagation.",

author = "Ermolaev, \{Andrei V.\} and Mathilde Hary and Mehdi Mabed and Lev Leybov and Piotr Ryczkowski and Anas Skalli and Daniel Brunner and Christophe Finot and Goery Genty and Dudley, \{John M.\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; International Conference on Transparent Optical Networks, ICTON 2025 ; Conference date: 06-07-2025 Through 10-07-2025",

year = "2025",

doi = "10.1109/ICTON67126.2025.11125458",

language = "English",

series = "International Conference on Transparent Optical Networks",

publisher = "IEEE",

editor = "Crina Cojocaru and Salvatore Spadaro and Marian Marciniak",

booktitle = "2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)",

address = "United States",

url = "https://icton2025.upc.edu/",

}

Ermolaev, AV, Hary, M, Mabed, M, Leybov, L , Ryczkowski, P, Skalli, A, Brunner, D, Finot, C, Genty, G & Dudley, JM 2025, Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances. in C Cojocaru, S Spadaro & M Marciniak (eds), 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON). International Conference on Transparent Optical Networks, IEEE, International Conference on Transparent Optical Networks, Barcelona, Spain, 6/07/25. https://doi.org/10.1109/ICTON67126.2025.11125458

Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances. / Ermolaev, Andrei V.; Hary, Mathilde; Mabed, Mehdi et al.
2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON). ed. / Crina Cojocaru; Salvatore Spadaro; Marian Marciniak. IEEE, 2025. (International Conference on Transparent Optical Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Data-driven Machine Learning Methods in Nonlinear Fiber Optics

T2 - International Conference on Transparent Optical Networks

AU - Ermolaev, Andrei V.

AU - Hary, Mathilde

AU - Mabed, Mehdi

AU - Leybov, Lev

AU - Ryczkowski, Piotr

AU - Skalli, Anas

AU - Brunner, Daniel

AU - Finot, Christophe

AU - Genty, Goery

AU - Dudley, John M.

N1 - Conference code: 25

PY - 2025

Y1 - 2025

N2 - Recent years have seen tremendous interest studying the complex dynamics of guided wave propagation using data-driven machine learning. In this paper, we review our recent advances in this field, reporting how supervised and unsupervised machine learning techniques can deepen our understanding of complex nonlinear and dispersive interactions during optical fiber propagation.

AB - Recent years have seen tremendous interest studying the complex dynamics of guided wave propagation using data-driven machine learning. In this paper, we review our recent advances in this field, reporting how supervised and unsupervised machine learning techniques can deepen our understanding of complex nonlinear and dispersive interactions during optical fiber propagation.

U2 - 10.1109/ICTON67126.2025.11125458

DO - 10.1109/ICTON67126.2025.11125458

M3 - Conference contribution

AN - SCOPUS:105016209881

T3 - International Conference on Transparent Optical Networks

BT - 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON)

A2 - Cojocaru, Crina

A2 - Spadaro, Salvatore

A2 - Marciniak, Marian

PB - IEEE

Y2 - 6 July 2025 through 10 July 2025

ER -

Ermolaev AV, Hary M, Mabed M, Leybov L , Ryczkowski P, Skalli A et al. Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances. In Cojocaru C, Spadaro S, Marciniak M, editors, 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON). IEEE. 2025. (International Conference on Transparent Optical Networks). doi: 10.1109/ICTON67126.2025.11125458

Data-driven Machine Learning Methods in Nonlinear Fiber Optics: Recent Advances

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