Yasser Mestrah Email & Phone Number

United Kingdom

London, England, United Kingdom

France

Digital Twins and Private Networks• Designed a virtual replica of a private factory capable of mimicking its real-world counterpart's conditions and parameters.• Used ray-tracing deterministic models to compute the propagation channel.• Implemented different search-based algorithms (Genetic algorithm, Swarm Intelligence, Gradient Descent, Nelder-mead).• Optimized different metrics (\textit{Coverage, Capacity, SINR, BER, MER, EVM}).• Developed different machine learning algorithms to predict performance and improve accuracy.• The Digital Twin allows continuous prototyping, testing, and monitoring.

Rennes, Brittany, France

Cloudcast project: Virtualization of broadcast networks• Modeled IP Packet losses for a virtualized network (ASTC 3.0 /DVB‑X2) using Markov chain.• Implemented application layer‑FEC codes (fountain codes) to mitigate packet losses using Python.• Quantified the Interlayer packet Loss spread over different system layers.• Derived EVM/MER closed‑form metric expressions (upper, and lower bounds) that include all layer parameters.• Validate the design through design reviews, detailed analysis, simulation, and product testing.• Create, review, and update reports to reflect proposed workflow solutions.

Lille Area & Reims, France

ANR ARBurst project: Robust communication over unknown environments• Constructed a module used in front of conventional receivers to allow them to adapt to unknown environments.• Implemented supervised and unsupervised learning algorithms to estimate module parameters with high performance.• Developed and evaluated the module performance for long codewords (i.e., used over optical and satellite communications).• Designed the module to match low computational complexity receivers (IoT, short packets).• Validate the design through detailed analysis and simulation of vast Gaussian and non‑Gaussian environments.

Beirut, Lebanon

BP Detection associated with NB-LDPC Decoding• Combined MIMO transmission techniques with NB‑LDPC codes to obtain reliable communications.• Fixed point analysis of the system using a C‑based simulator.• Proposed a novel approach to control the data flow that enables 4‑bit representation.• FPGA implementation of NB‑LDPC decoder using vertical shuffle schedule algorithm.

Doctor Of Philosophy - Phd, Machine Learning And Signal Processing

Telecom Paris (funder) in collaboration with URCA and IMT Lille Douai.

Master Of Engineering - Meng, Computer And Communication Engineering, 3.83/4

Graduated with distinction

Bachelor Of Engineering - Be, Computer And Communication

Graduated with distinction

Information Theory And Signal Processing For Internet Of Things

The main focus is on models and techniques for IoT access networks which alternate between theoretical courses (Information Theory, Game.

Complex Networks And Telecommunications

The areas studied are 5G, Wireless Edge Caching, and Network Virtualization. Graph-based Signal Analysis, Machine learning with Artificial.