REAL-NET

Real-time monitoring and mitigation of nonlinear effects in optical NET-works

                                        

Project

The multi-national & multi-interdisciplinary REAL-NET project provides timely doctoral training for 6 PhD students through industry relevant research (50% stay in industry).  

Goal: Realistic implementation of DSP algorithm to compensate nonlinear effects in fiber with and without machine-learning-based algorithms.

Read more

Partners

The intensive networking between our partners enables us to keep at the front line of top-level research and strengthens the knowledge base in the industrial field.

Go to our Partners

ESRs

All ESRs again on board and ready for the secondment!

Due to COVID-19 pandemic all secondments have started remotely.

The secondment will continue physically as soon as the pandemic ends, and work in the company is safe for the ESR.

Go to our ESRs

6

PARTNERS ORGANISATION

1.6

MILLION EUR GRANT RECEIVED

6

EARLY STAGE RESEARCHERS

3

INDUSTRIAL PARTNERS

Mohammad Hosseini
(ESR1, AST)

Pedro Freire
(ESR2, AST)

Mohannad Abu-Romoh
(ESR3, TPT)

Jamal Darweesh
(ESR4, TPT)

Masab Iqbal
(ESR5, UPC)

Diogo Sequeira
(ESR6, UPC)

Latest Tweet

Social media

Recent posts

REAL-NET Transferable Skills Workshop II (TSW II)
22nd-24th March 2021, remotely

Lake Como School and OTAW2 on SINO methods and applications
15-19th March 2021, remotely

ESR2, Pedro, had a paper accepted and gave a talk at ECOC2020

Electrical Engineering AI day                  
19 Nov 2020

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813144.

Website created by Dr. Martina Pasini (2019)