Mohammad Hosseini

Mohammad received his bachelor’s degree in Telecommunication Engineering from Iran University of Science and Technology in 2016 with the first rank place. After that, he joined the University of Tehran to study a Master’s degree in Photonics. He defended his mater’ thesis, entitled “”Modal Analysis of Optical D-fiber” and obtained his degree with an excellent grade in 2019.

Currently Mohammad is a PhD student at Aston University as early stage researcher (ESR) under a Marie Skłodowska-Curie Action (MSCA), within the REAL-NET project.

His research interests include Optical Communication, Computational Electromagnetics, and Optical Sensors. Within REAL-NET his investigating “Novel digital signal processing techniques for nonlinear fibre systems”.

Pedro Freire

Pedro has Bachelor’s and master’s degree in Electronic Engineering from the Federal University of Pernambuco with one year and a half period at the State University of New York and State University of San Francisco. His Master’s Thesis in the photonics area proposed a new metaheuristic using evolutionary algorithms to solve the RMLSA problem.

Currently holds a prestigious Marie-Curie (MSCA) doctoral fellowship and works as Early State Researcher at Aston University on “Machine learning techniques to mitigate nonlinear impairments in multi-user optical fiber system”.

In additional, Pedro has more than three year of experience in the Industry working for big companies as Royal Vopak and Rede Globo.

Mohannad Abu-Romoh

Mohannad was born and raised in Kuwait. In 2011 he moved to Jordan to pursue his Bachelor’s degree in Electrical Engineering at Jordan University of Science and Technology, a top research university in Jordan. In 2015, he did an internship at Fibrain in Poland, Rzeszow, organized by IAESTE international exchange program.

He earned his B.Sc. in 2016 with a focus in Communications and Electronics. He joined the University of Idaho, US in fall 2016 pursuing a Master’s degree in Electrical Engineering, during which he worked as a research assistant supervised by Prof. Zouheir Rezki. His main research focus was in utilizing machine learning in wireless communications, most notably, in the problem of modulation classification. He was awarded a M.Sc. in Electrical Engineering in spring 2019.

Currently, Mohannad is a PhD student at Telecom Paris, and an early-stage researcher (ESR) in REAL-NET project

Mohannad is experienced with Matlab, C++ and Python. His research in “non-linearity mitigation techniques in optical fiber networks” involves rigorous implementaion of Machine learning algorithms using Tensorflow and Keras/Theano.

Jamal Darweesh

Jamal was born in Jordan. In 2011, he joined Jordan University of Science and technology (J.U.S.T), a Jordanian top ranked schools in the field of engineering and technology. He obtained his bachelor degree in communication and electronics in 2016. During his undergraduate studies he excelled in the field of digital communications and information theory. He worked under the supervision of two of his professors on the design and the implementation of a new Algorithm for the LDPC codes.

In 2016 he started his Master studies in wireless communications at J.U.S.T. His Master’s thesis was devoted towards modeling the problem of statistical dependency between the clusters of the compound fading channels. He obtained his master degree in 2019.

Jamal is experienced with Matlab and mathematica

Currently Jamal is a PhD student at Telecom Paris, France. He is an early-stage researcher (ESR) in the EC funded program REAL- NET. Within the project his work requires an understanding of learning theory, probability theory and deep neural networks, in “Low-complexity real-time successive interface cancellation”.

Masab Iqbal

This is Masab Iqbal from Karachi, Pakistan. Masab completed his Bachelors in Electronic Engineering from NED University of Engineering and Technology, Pakistan. After his undergraduate, working in leading R&D companies inspired him to take himself to another step forward by pursuing higher studies.

He got selected for PIXNET program and was the recipient of the prestigious Erasmus Mundus scholarship for the period of his master’s education. During the PIXNET program, he spent one year at Sant’Anna School of Advanced Studies in Pisa, Italy and one year at Aston University in Birmingham, UK. Between the two years, he explored the world of optical communication and photonic integrated circuits. His master’s thesis was about ‘Machine learning techniques for non-linearity mitigation in optical fibers’.

He is currently working as an Early Stage Researcher at Universitat Politècnica de Catalunya and Infinera under Marie Skłodowska-Curie Action (MSCA), within the REAL-NET project.

Diogo Sequeira

Diogo received his MSc degree in Telecommunications and Computer Engineering in November 2017 from ISCTE-IUL, Lisbon, Portugal.

From December 2017 to November 2018 he has worked as a research fellow at Instituto de Telecomunicações (IT) Branch ISCTE-IUL in the scope of the Physical Impairment Modelling in Flexible Optical Node Architectures (ImpAr) project. From May 2019 to July 2019 he was worked as a research fellow at IT Aveiro.

Since October 2019 he is a PhD student at Universitat Politècnica de Catalunya (UPC) as early stage researcher (ESR) under a Marie Skłodowska-Curie Action (MSCA), within the REAL-NET project.

His research is “nonlinearity mitigation methods in optical networks environment”.