Participation links will be emailed to registered participant closer to the date.
If you have not received them 2 days before the event please email the organisers


THURSDAY 7 Apr 2022
Session 1: Practical implementation and network applications of Nonlinear Fourier Transform
Time (CET; Rome,Paris, Berlin) Chair: Vinod Bajaj, TU Delft
09:00 – 09:05 Darko Zibar
Technical University of Denmark
Welcome and Opening Remarks
09:05 – 09:40 Sander Wahls
Delft University of Technology
Title: Pulse shaping in the nonlinear Fourier domain
09:40 – 10:15 Marco Secondini
Scuola Superiore Sant’Anna
Title: To NFT, or not to NFT, different ways of dealing with fiber nonlinearity
10:15 – 10:50 Alan Pak Tao Lau
The Hong Kong Polytechnic University
Title: Multi-symbol DSP techniques for discrete eigenvalue transmissions based on NFT
10:50 – 11:05 Break
11:05 – 11:40 Stas Derevyanko
Ben Gurion University of the Negev
Title: Channel models and spectral efficiency limits for optical fiber transmission systems employing the Nonlinear Fourier Transform
11:40 – 12:15 Morteza Kamalian-Kopae
Aston University
Title: Noise in the nonlinear Fourier domain
12:15 – 13:30 Lunch
THURSDAY 7 Apr 2022
Session 2: ML methods for Ultra-Wide Band systems
Time (CET; Rome,Paris, Berlin) Chair: Uiara Celine de Moura, Technical University of Denmark
13:30 – 14:05 Antonio Napoli
Infinera Germany
Title: Coherent-based point-to-multipoint optical networks: potentialities, challenges and benefits.
14:05 – 14:40 Cristian Antonelli
University of L’Aquila
Title: Modeling of Multiple-Mode Propagation in Fibers for Space-Division Multiplexing
14:40 – 15:15 Michael Galili
Technical University of Denmark
Title: Compensation of Nonlinear Signal Distortion using Optical Phase Conjugation
15:15 – 15:30 Break
15:30 – 16:05 Andrea Carena
Politecnico di Torino
Title: ML models for the abstraction of photonic components in UWB systems
16:05 – 16:40 Thomas Bradley
Eindhoven University of Technology
Title: High Capacity Data Transmission with Space Division Multiplexing
16:40 – 17:15 Anastasiia Vasylchenkova
University College London
Title: Analytical models for quality of information estimation in the ultrawideband transmission
18:00 – 21:00 Dinner, drinks and networking
Dinner and Beer tasting at Noerrebro Bryghus
(transport will be arranged)
FRIDAY 8 Apr 2022
Session 3: ML and AI applied to MB optical communication
Time (CET; Rome,Paris, Berlin) Chair: Vladislav Neskorniuk; Aston University
09:00-09:35 Jelena Pesic
Title: Will Machine Learning mitigate the extra cost of increase in capacity?
09:35 – 10:10 Marija Furdek
Chalmers University of Technology
Title: Monitoring optical network security with machine learning
10:10 – 10:45 Marc Ruiz
Universitat Politècnica de Catalunya
Title: Opportunities and challenges of AI-based autonomous operation in MB scenarios
10:45 – 11:00 Break
11:00 – 11:35 Laurent Schmalen
Karlsruhe Institute of Technology
Title: Autoencoders in Optical Communications – From Modulation Format Optimization to Blind Equalization
11:35 – 12:10 Boris Karanov
Eindhoven University of Technology
Title: End-to-end deep learning for communication over dispersive nonlinear channels
12:10 – 12:45 Mehran Soltani
Technical University of Denmark
Title: Spatial and spectral power evolution design using machine learning-enabled Raman amplification
12:45 – 14:00 Lunch
14:00-17:00 Guided tour of the DTU Laboratories Facilities Building 343, download map here, and further networking opportunities with workshop participants and DTU members of staff.

In parallel:
FONTE Project Networking and Management Meeting (closed event)

18:00-21:00 Informal networking opportunity