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Nonlinear Fourier Transform Workshop
A FREE open-to-all workshop organised by the FONTE EID Project
Theory and hands-on NFT software practical session
TU Delft, Netherlands, 4th-5th February 2020
High-profile speakers include Assoc Prof S Wahls (TU Delft), Prof. M Yousefi (Telecom Paris), Prof S Randoux (Universite de Lille ), Prof G El (Northumbria Univ), Prof P Suret (Universite de Lille)
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We hope to see you at NFT2021
Welcome to the 2020 Nonlinear Fourier Transform Workshop at TU Delft, Netherlands
On 4-5 February 2020, Project FONTE together with the Delft Center for Systems and Control (DCSC) at the Technical University of Delft, Netherlands is organizing a FREE 2-day workshop in NFT. The event will bring together leading researchers in the fields of optical transmission systems and nonlinearity mitigation, optical signal processing, information theory, nonlinear dynamics and telecommunications.
The first day of the workshop not only introduces the participants to both theoretical and computational aspects of Nonlinear Fourier Transforms (NFTs) but also discusses their application in diverse fields such as optical communications, laser characterisation and analysis of water waves.
The second day provides participants a chance to present their own, not necessarily NFT-related, research. Furthermore, participants can engage with software to compute NTFs in hands-on sessions, with experts at hand to assist with installing the software and running first examples on participants’ laptops.
This FREE workshop aims to educate PhD students and early career researchers. Participants are invited to submit their own presentations (including non-NFT) for consideration at the workshop.
The workshop is funded by the European Commission through Project FONTE-EID [EC GA 766115].
Main Organisers:
FONTE-EID: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766115
NEUTRINO: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 716669)
Co-organisers:
WON: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 814276
REAL-NET: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No No 813144
