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HBENACEUR.wdp — 00-COVER.dwg — AutoCAD Electrical 2026
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SHEET 00 · TITLE PAGE · REV 2026.1

Abdelhamid Benaceur

Embedded Systems Engineer

Electrical systems engineer and PhD researcher specializing in embedded systems and renewable energy. Currently working on the optimization of drone-vehicle interactions for green-mobility deliveries.

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Ø 480IMG_REF · PROFILE.JPG Abdelhamid Benaceur
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Profile

General notes · scope of work

Electrical Systems Engineer and PhD researcher, driven by technological innovation in the service of the energy transition and sustainable development.

My specialization spans a broad spectrum, from embedded systems to applied artificial intelligence, through complex-system modeling and smart energy management. My current research project focuses on optimizing the interactions between drones and autonomous electric vehicles, aiming to develop sustainable delivery solutions for green mobility.

Through my experience, I have built solid skills in industrial automation, process supervision, and the design of tailored technical solutions. My internships and academic projects have helped me build a rigorous approach to complex problem-solving, while staying agile and results-driven.

With an analytical mindset, strong collaborative skills, and a genuine appetite for technological challenges, I am actively engaged in the research and engineering of tomorrow. My ambition: to contribute to innovative projects with real environmental and societal impact.

Nevers · Agadir PhD 2025 — EN / FR / AR
K1

Embedded Systems

Real-time design, PLC & HMI programming, industrial automation.

K2

Applied AI

Optimization and modeling of complex, multi-agent systems.

K3

Renewable Energy

Photovoltaic sizing and smart energy management systems.

K4

Green Mobility

Drone-vehicle cooperation for sustainable last-mile delivery.

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02

Education

Academic ladder diagram
2025 — present

Joint PhD (cotutelle)

Université de Bourgogne Europe & Universiapolis
2021 — 2024

Engineering Degree in Electrical Systems Engineering

École Polytechnique d'Agadir
2019 — 2021

University Diploma of Technology in Electrical Engineering

École Supérieure de Technologie d'Agadir
2017 — 2018

Scientific Baccalaureate

École Attaraji Privé
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Professional Experience

Field work · commissioning
02/2024 — 06/2024

Graduation Internship — ONEE, Water Branch

Remote telemetry system for monitoring a drinking-water reservoir
  • Sizing of the photovoltaic solar power system
  • Design of the telemetry cabinet's electrical schematic
  • Wiring of the cabinet; PLC and supervision programming
  • HMI configuration
06/2023 — 08/2023

Assistant Engineer Internship — NEXT Étude

Lighting study for a Royal Gendarmerie building, Agadir port
  • Design of electrical schematics with AutoCAD
  • 3D modeling and lighting simulation with Dialux
  • Sizing of electrical systems
06/2022 — 08/2022

Technical Internship — STÉ MESATRAV

Installation of electrical panels
  • Design and production of distribution-panel schematics
  • Wiring of low-voltage main distribution boards
  • Programming of industrial PLCs
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Research

Doctoral project · simulation

Optimization of Drone-Secondary Vehicle Interactions for Green Mobility Deliveries

My doctoral research investigates how autonomous aerial and ground vehicles can cooperate for last-mile delivery, combining aerodynamic modeling, energy-aware control, and simulation to make drone-assisted logistics both efficient and sustainable.

R1

Research objective

Define and optimize how a delivery drone and a ground vehicle can operate together to extend range and reduce energy cost versus either mode alone.

R2

Drone-vehicle interaction

Modeling the coupled dynamics and coordination logic between the UAV and the secondary vehicle during rendezvous, launch and recovery phases.

R3

Energy optimization

Trajectory and power-management strategies that minimize total energy consumption across the combined drone-vehicle delivery mission.

R4

Aerodynamic modeling

Characterizing the airflow and drag/lift interactions generated when a rotorcraft operates close to a moving ground vehicle.

R5

CFD simulations

High-fidelity computational fluid dynamics runs in ANSYS Fluent to validate the aerodynamic models under realistic operating conditions.

R6

Experimental validation

Bench and field testing to confront simulation results with real sensor data and refine the interaction models accordingly.

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Skills

Toolbox · parts list

Technical

Design & development of embedded systems Modeling & simulation of electrical systems Energy management & performance optimization Advanced control methods Industrial automation & supervision

Soft skills

Critical thinkingProject managementComplex problem solvingTechnical communicationTeamwork

Software

RefSoftwareUse
S-01AutoCADElectrical schematics
S-02TIA PortalPLC programming
S-03LabVIEWInstrumentation
S-04ANSYS FluentCFD
S-05Proteus ISISElectronics simulation
S-06DiaLUX EVOLighting studies
S-07Vijeo DesignerHMI
S-08PSIMPower electronics
S-09Softools · PCwinSupervision
S-10MS OfficeReporting
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Certifications

Bill of materials · verified credentials
RefCredentialIssuer · date
C-01Embedded Systems Software and Development Environments—
C-02Hardware Description Languages for FPGA Design—
C-03Real-Time Embedded Systems — Theory and Analysis—
C-04Electrical Power Systems—
C-05AI for EveryoneDeepLearning.AI · Coursera · 2025verify
C-06Oracle Data Platform 2025 — Certified Foundations AssociateOracle University · 2025
C-07Éthique de la rechercheUniversité de Lyon · FUN · 2025verify
C-08La science ouverteSorbonne Université · FUN · 2025verify
C-09Research Integrity in Scientific ProfessionsBordeaux University · FUN · 2025verify
C-10La souveraineté numérique, entre discours et pratiquesURFIST de Strasbourg · 2026
C-11Valorisation de la recherche et commercialisation des brevetsAMAPIC · 2025
C-12Microsoft Office Specialist — Word 2019 AssociateMicrosoft / Certiport · 2026
C-13Work Smarter, Not Harder: Time ManagementUC Irvine · Coursera · 2025verify
C-14Learning to Teach OnlineUNSW Sydney · Coursera · 2025verify
C-15Philosophy of ScienceUniv. of Pennsylvania · Coursera · 2025verify
C-16Digital TransformationUniv. of Virginia & BCG · Coursera · 2025verify
C-17Research MethodologiesQueen Mary Univ. of London · Coursera · 2025verify
C-18How to Write and Publish a Scientific PaperÉcole Polytechnique · Coursera · 2025verify
C-19Critical Thinking: Reasoned Decision MakingTecnológico de Monterrey · Coursera · 2025verify
C-20New Learning: Principles and Patterns of PedagogyUniv. of Illinois Urbana-Champaign · 2025verify
C-21Fundamentals of Project Planning and ManagementUniversity of Virginia · Coursera · 2025verify
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Projects

Built & commissioned
P-01

Remote underground irrigation system

Remote control and supervision of a buried irrigation network.

P-02

Design and construction of a tachometer

Design of a rotational-speed measurement instrument.

P-03

Telemetry and supervision of a pumping station

PLC, HMI, and real-time supervision of a pumping station.

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Languages & resume

Legend · document register
LanguageLevel
ArabicNative
FrenchFluent
EnglishProfessional
DOCUMENT · CV-2026.PDF

The complete CV: education, field experience, research work, skills and certifications.

Uses your browser's print dialog — choose “Save as PDF”.

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Get in touch

Request for information

A question, a collaboration or a research opportunity? Leave a message here and I will get back to you by e-mail.

SLA

Messages land straight in my inbox. I usually reply within two days.

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Blog feed

Notes from the workbench
···
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Source
blog.hbenaceur.com
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cfd-live.sim — drone / vehicle aerodynamic coupling

Dynamic CFD model · aerodynamic coupling RANS k-ω SST

Descent & docking on the vehicle roof under an incoming wind field.

Inlet wind V∞ 15.0 m/s
Drone altitude h 2.20 m
Layers
INLET PLANE (X=0) V∞=15.0m/s ROBOTIC DOCKING PAD δ=37.4mm u(y) PARCEL h=2.20m X = 0.0 m (Inlet) X = 2.4 m (Docking pad) Outlet (p = 0) CFD aerodynamic scale 0 m/s 15 m/s 35 m/s Δp: -180 Pa (suction) → +138 Pa (stagnation)
Inlet wind
15.0m/s
54 km/h
Dynamic pressure q∞
138Pa
Bumper stagnation
Ground effect T/T₀
1.002×
Cheeseman-Bennett
Boundary layer δ
37.4mm
Roof, x=1.8 m
Pad overpressure
+27Pa
Downwash on roof

FIG.01 — RANS Navier-Stokes model of the aerodynamic coupling between the incoming wind (inlet V∞ ahead of the vehicle) and the rotor downwash during descent and docking on the robotic roof platform.

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