Short biography

I had my Bachelor’s degree in Information Technology and Business Information Systems from Middlesex University in 2011 after which I proceeded to Turkey in 2012 for my Master's degree program at Istanbul Technical University in the field of Computer Engineering and graduated in 2017. I had a year of Turkish Language courses and a year+ of Scientific Preparatory courses before the commencement of my Master’s

program in Turkey. I worked while/after studying at Percom Information Systems as IT Personnel and also as a per-time Computer Science Teacher, at Al-Aqsa International School, between the years 2014 to 2019, prior to securing an Erasmus Dual-Master Scholarship program which started in Athens, Greece (at the National and Kapodistrian University of Athens [NKUA]) in 2019 and ended in France (at Telecom IP-Paris/SudParis) in 2021. After which I joined an RGIS Data Inventory company in France, where I worked till I secured an Early Stage Researcher (ESR) Ph.D. position at NEC Laboratory, Heidelberg, Germany, to research the project titled “AI-Based network slicing orchestration supporting end-to-end service requirements”. This position is part of the Marie-Curie 5GSmartFact project and in which I will be covering research areas related to RIS, Edge Computing, Network Slicing, and Smart factories, with a secondment location at CNRS Lab in France

Short description of project objectives

1. To identify the gap of existing network orchestration solutions while satisfying novel smart factory requirements (low latency, ultra-high reliability); this includes the orchestration of multiple FOG and MEC infrastructures considering computational/networking resources.

2. To formulate mathematical models fully describing the problem.

3. To devise algorithms based on artificial intelligence (AI) that provide a higher level of resilience and robustness with respect to existing approaches and provide strong isolation guarantees in MEC/FOG environments. Resource utilization statistics, user distributions, and service requirements will be instrumental to fully orchestrating E2E resources within the network slice tailored to a particular service.

4. Integration of MEC/FOG orchestration with an E2E 5G operative system including data center and transport network orchestration.

The precise objectives of the project are:

• AI-based algorithms for network slice orchestration when heterogeneous service requirements, including low latency and high reliability, are in place.

• Publications in top-tier conferences/journals. In addition, the ESR will test proposed ideas on a real 5G-like testbed within the NEC laboratories.

• Patenting and integration into NEC solutions.