Education

Ph.D. in Networks, Information, and Communications

Institut Polytechnique de Paris (Télécom Paris) Paris, France · Nov. 2019 – Nov. 2023

  • Thesis: Equalization in Optical Fiber Communication Using Model-based Neural Networks
  • Developed learned digital back-propagation and neural equalization schemes for dispersion-managed coherent optical systems within the EU H2020 MSCA REAL-NET network.

M.Sc. in Electrical Engineering

University of Idaho Moscow, ID, USA · Oct. 2016 – May 2019

  • Thesis: Low Complexity Algorithms for Automatic Modulation Classification
  • Expertise in machine learning, neural networks, and statistical signal processing.

B.Sc. in Electrical Engineering

Jordan University of Science and Technology Irbid, Jordan · Sep. 2011 – Feb. 2016

  • Specialized in communications and electronics.
  • Strong foundation in mathematics, probability theory, and programming (C++ and MATLAB).

Professional Experience

Instructor, Computer Engineering Technology

American College of the Middle East Egaila, Kuwait · Aug. 2024 – Present

  • Teaching core CET courses: operating systems, networks, digital design, microprocessors, C programming, IT architecture, and PCB fabrication.
  • Active research on machine learning applications for communication systems and robotics.

CET Program Coordinator

American College of the Middle East Egaila, Kuwait · Feb. 2025 – Jul. 2025

  • Curriculum oversight, faculty coordination, and student academic experience enhancement.

Machine Learning Scientist

Infinera GmbH Munich, Germany · Nov. 2020 – May 2022

  • Advanced research in optical communications as part of the REAL-NET project.
  • Real-world transmission experiments applying ML for optical signal recovery and classification.

Marie Skłodowska-Curie Early-Stage Researcher

Telecom Paris & Infinera (REAL-NET ITN/EID) France & Germany · Oct. 2019 – May 2023

  • Ph.D. research on equalization in optical fiber communication using model-based neural networks.
  • Developed learned digital back-propagation and low-complexity CNN equalizers.

Research Assistant

University of Idaho Moscow, ID, USA · Oct. 2016 – Oct. 2018

  • Low-complexity automatic modulation classification algorithms using statistical moments and likelihood maximization.

Undergraduate Intern

ELMAT/Ferbrain Rzeszow, Poland · Jun. – Aug. 2015

  • Competitive IAESTE internship in optical fiber solutions, FTTH technologies, and quality control.

Skills

Programming

Python, C, C++, MATLAB

Web & Markup

HTML, CSS, JavaScript, LaTeX

ML Frameworks

Keras, TensorFlow, Jupyter, Weka

Networking

Cisco Packet Tracer, VMware

FPGA & Digital

Pspice, Quartus

PCB Design

OrCad (PCB Editor, Capture CIS)

Languages

Arabic, English, French

Honors & Awards