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 the COVID-19 pandemic the secondments will start remotely.

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

6

PARTNERS ORGANISATION

1.6

MILLION EUR GRANT RECEIVED

6

EARLY STAGE RESEARCHERS

3

INDUSTRIAL PARTNERS

REAL-NET ESRs

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)

REAL-NET partners

Latest Tweet

Social media

Recent posts

Electrical Engineering AI day                  
19 Nov 2020

Outreach event SPIE/OSA                                          
17 Nov 2020

2nd REAL-NET workshop      
5 Nov 2020

MS on Numerical Implementation                      
28 Oct 2020

Mini-symposium on ML                        
7-8 Sep 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)