CV

Abderrahim Akhrouf

25 Rue Honnorat – 13003 Marseille, France
Email: abderrahim.akhrouf@etu.univ-amu.fr · Phone: +33 7 59 30 03 37
PhD Candidate in Fluid Mechanics — Aix-Marseille University (LMA & FLUIIDD)

Research Focus

Data-driven optimization of electric pump energy consumption using machine learning, time-series anomaly detection, and electrical impedance tomography (EIT) for real-time monitoring and predictive control.

Education

• 2025– PhD in Fluid Mechanics, Aix-Marseille University, Laboratory of Mechanics and Acoustics & FLUIIDD, Marseille/La Ciotat, France
  Thesis: Optimizing electric pump energy consumption using machine learning and electrical impedance tomography
  Supervisors: Cédric Bellis, Mathieu Darnajou, Guillaume Ricciardi
• 2023–2024 Master 2 in Mobile Autonomous Systems, Université Paris-Saclay, France
• 2020–2023 Engineering degree & Master 2 in Control Systems, École Nationale Polytechnique, Algiers, Algeria
• 2018–2020 Preparatory classes (science & technology), École Nationale Polytechnique, Algiers, Algeria

Professional Experience

• 2025–Present PhD research (regional funding), Aix-Marseille University (LMA) & FLUIIDD, Marseille / La Ciotat, France.
  Thesis: Optimizing electric pump energy consumption with ML and EIT.
• 2024 Research Internship (Artificial Intelligence), Adservio Group, Puteaux, France
  Developed an autonomous driving pipeline leveraging language-model inspired architectures in the CARLA simulator.
  Supervisor: Hedi Tabia
• 2023 Research Internship (Control Theory), INRIA Paris-Saclay & Process Control Laboratory, Algiers, Algeria
  Final-year project on arterial blood flow estimation using modulating function methods.
  Supervisors: Prof. Taous-Meriem Laleg, Prof. Zehor Belkhatir & Dr. Messaoud Chakir

Skills

• Programming: Python, C, C++, MATLAB
• AI / ML: Deep Learning, Reinforcement Learning, Time-series modeling, NLP
• Simulation: Simulink, CARLA
• Data & Tooling: Git, LaTeX, Microsoft Office

Languages

• French: Fluent (TCF C1)
• English: Fluent (CEFR C1+)
• Arabic: Native
• Italian: Beginner (A1)