SMARTNET alumni success stories
1st intake – 2018-2020
Sarah Masaad embarked on an international journey from a very early age as a Jordanian who spent her childhood in 5 different countries. In 2018, she graduated from the University of Bahrain with a bachelor’s degree in Electronics Engineering. Sarah then joined SMARTNET’s first cohort, completing her first year at Aston University in the UK and her second year at the National and Kapodistrian University of Athens in Greece. She graduated in September 2020 and joined imec/Gent University for a researcher/PhD position in Belgium. The position is part of the Marie Curie POSTDIGITAL project, in which a network of European institutions researches various topics in neuromorphic computing. Sarah’s research topic is photonic reservoir computing for telecommunication applications.
Hang Ha had her Bachelor of Science in Electrical Engineering at Bucknell University, United States. She completed her SMARTNET Degree in September 2020 with the first year in Telecom SudParis, France, and second year in Aston University, UK (Mobility 3). Hang Ha’s current working place is at FPT Software, Vietnam, and her position is Embedded IoT Engineer. She is working with an FPT’s customer, which is a renowned company famous for its IoT products, to developing Zigbee solutions using their product line.
Yevhenii Osadchuk joined SMARTNET programme at University of Athens and Aston University after doing his BSc and MSc degree at V. N. Karazin Kharkiv National University, Ukraine and completing Erasmus+ mobility programme (MSc) at Pavol Jozef Šafárik University in Kosice, Slovakia. While working on his thesis at Aston, Yevhenii started searching for Ph.D. positions at universities worldwide, as one of the possible career steps after the SMARTNET is a Ph.D. scientific role. Going through lots of interviews and presentations he got a couple of offers from well-known universities in Europe. Finally, Yevhenii accepted the offer for an Early Stage Researcher position from the University of Athens under the SEMANTIC ITN framework, funded by the Marie Curie Foundation. The program’s focus is on establishing a robust and fast 5G connectivity in Europe and Yevhenii is truly happy to be involved in such a great project.
Salma Escobar obtained her BSc degree in Telecommunications Engineering from Instituto Tecnológico Autónomo de México, Mexico in 2017. She also received Erasmus Mundus MSc degree in the Smartnet Telecom and Sensing Networks (SMARTNET) from Aston University, Birmingham and Télécom SudParis, France. Her MSc Thesis was written in collaboration with the Huawei industrial company. As next steps Salma accepted the offer to stay in France and continue her industry oriented PhD in Huawei and Télécom SudParis. Salma’s research topic is an extension of her internship project in “Capacity modelling and maximization in ultra-wide band WDM systems”.
Daryna Kravchenko received her BSc degree in Physics from Taras Shevchenko National University of Kyiv, Ukraine in 2017. She also received Erasmus Mundus MSc degree in the Smartnet Telecom and Sensing Networks (SMARTNET) from Aston University, Birmingham and Télécom SudParis, France. During her MSc Thesis Daryna did an internship with the ASN (Alcatel Submarine Networks) company. Daryna has started position of the Optical Engineer in the ASN (Alcatel Submarine Networks) in October 2020, at the same company where she has made her internship but in another team. Her responsibilities are to design and setup optical transmission systems without repeaters and to demonstrate the performance to the customers.
Nelson Castro received his BSc degree in Electrical Engineering from the National Autonomous University of Honduras in 2016. After his bachelor Nelson obtained working experience as a SCADA Operator and Remote Control Systems Engineer in Tegucigalpa, Honduras. He was awarded an Erasmus Mundus scholarship to study a Joint MSc degree in the Smartnet Telecom and Sensing Networks (SMARTNET) program, which he carried out in Télécom SudParis, France and Aston University, United Kingdom. During his MSc thesis, Nelson worked on a research project under the supervision of Dr Stylianos Sygletos, studying the compensation of nonlinearity impairments in fibre optic transmission systems using recurrent neural networks (RNNs). Having successfully completed his MSc studies, Nelson is now a PhD student at Aston University, where he continues to work on the application of Machine Learning techniques to nonlinear fibre optics.