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Ferdaous Masmoudi, PhD
Electrical engineer, postdoctoral researcher, university educator, and R&D director combining academic research, hands-on engineering, and applied innovation across intelligent, embedded, robotic, control, and energy systems.
PhD Thesis — Foundational Research Contributions
My PhD thesis, Optimization of Standalone Photovoltaic Systems, provides the scientific foundation of my work in modeling, optimization, control, power electronics, energy storage, embedded mechatronics, and experimental validation.
PV Modeling & Parameter Optimization
Development of nonlinear equivalent-circuit models for photovoltaic cells and modules, with parameter identification formulated as an optimization problem to reproduce experimental I–V characteristics under varying irradiance and temperature conditions.
- Nonlinear Modeling: single-, double- and multi-diode PV cell models
- Optimization: parameter identification from experimental I–V curves
- PV Modules: cell interconnections and behavior under shading and mismatch
Solar Tracking & Energy Yield Optimization
Development of solar trajectory estimation algorithms and photovoltaic energy yield analysis for fixed and tracking systems, integrating solar position computation, irradiance estimation, and a dual-axis solar tracking platform validated through simulation and experimental implementation.
- Solar Trajectory Modeling: solar position estimation using SPA and SOLPOS algorithms
- Energy Yield Analysis: comparison of fixed, single-axis, and dual-axis photovoltaic tracking strategies
- Dual-Axis Tracker Design: embedded mechatronic implementation for autonomous solar orientation
PV Energy Conversion & MPPT Control
Design and modeling of an autonomous photovoltaic energy conversion chain integrating DC–DC boost conversion, battery storage, and maximum power point tracking.
- Power Electronics Design: synthesis of a DC–DC boost converter operating in continuous conduction mode
- Battery Storage Modeling: parameter identification of lead-acid battery dynamics
- MPPT Control Strategy: Perturb-and-Observe algorithm for maximum power extraction
Embedded Monitoring & IoT Supervision
Development of an embedded monitoring architecture for photovoltaic energy systems integrating multi-sensor acquisition, edge processing, and cloud-based supervision for real-time performance monitoring.
- Embedded Monitoring: multi-sensor acquisition using Arduino-based controllers
- Edge Processing: Raspberry Pi supervision for real-time data aggregation
- Cloud Supervision: IoT platform for remote visualization and diagnostics
Profile Highlights
About Me
I am an electrical engineer with a PhD in Electrical Engineering and currently a Postdoctoral Researcher at the National Engineering School of Sfax (ENIS). My professional path combines university teaching, academic research, and applied engineering R&D.
My teaching, research, and engineering activities span electrical engineering, mechatronics, robotics, embedded systems and IoT, control and instrumentation, power electronics, renewable energy, modeling, simulation, and intelligent systems.
I place particular emphasis on connecting theoretical foundations with modeling, laboratory experimentation, hardware–software integration, prototyping, multidisciplinary engineering projects, and real-world implementation.
Scientific Foundation
My doctoral research established a strong foundation in electrical and energy engineering through photovoltaic system modeling, parameter identification, optimization, power conversion, MPPT control, solar tracking, storage, and experimental validation.
University Teaching
Teaching experience in mechatronics, computer-based instrumentation, open-source software development, and maintenance of mechatronic systems, combining lectures, tutorials, laboratory work, assessment, and applied projects.
Applied Engineering & R&D
Through applied R&D and technology development, I work on robotics, embedded systems, IoT, sensing, connected platforms, hardware–software integration, and intelligent engineering solutions, with a strong focus on practical implementation and validation.
Current Postdoctoral Research
Within the FLOTTANT – INTERREG NEXT Italy–Tunisia project, my current research addresses marine energy harvesting, autonomous instrumentation, multiphysics modeling, system identification, optimization, and experimental validation.
Expertise Areas
- Electrical engineering, power electronics, electrical energy conversion, and renewable energy systems
- Control systems, instrumentation, data acquisition, modeling, optimization, and system identification
- Mechatronics, robotics, mobile robotic systems, sensors, actuators, and system integration
- Embedded systems, microcontrollers, edge computing, and real-time hardware–software integration
- IoT, connected sensing, remote supervision, cloud-linked engineering systems, and digital platforms
- Experimental engineering, prototyping, testing, troubleshooting, and validation
- Intelligent systems, embedded AI, computer vision, and autonomous engineering applications
Key Competencies
- MATLAB / Simulink • COMSOL Multiphysics • LabVIEW • Python • C / C++
- STM32 • ESP32 • Arduino • Raspberry Pi • NVIDIA Jetson
- ROS / ROS2 • Gazebo • OpenCV • YOLO • Embedded AI
- PCB Design • Sensors & Actuators • Instrumentation • Data Acquisition
- MQTT • LoRa / LoRaWAN • Wi-Fi • BLE • Modbus • Firebase • REST APIs
- Modeling • System Identification • Optimization • Control • Experimental Validation
Current Positions
Postdoctoral Researcher
National Engineering School of Sfax (ENIS), University of Sfax
FLOTTANT – INTERREG NEXT Italy–Tunisia
Hybrid marine energy harvesting, autonomous instrumentation, multiphysics modeling, system identification, optimization, and experimental validation.
Co-Founder & R&D Director
QUANTITECK — Research, engineering, and technology development in robotics, intelligent embedded systems, industrial IoT, and smart engineering solutions.
Academic Qualifications
- PhD in Electrical Engineering — ENIS, University of Sfax (2016)
- MSc in Electrical Conversion & Renewable Energy — ENIS, University of Sfax (2012)
- Engineering Degree in Electrical Engineering — ENIS, University of Sfax (2011)
3 Scopus-indexed journal publications & 12+ IEEE conference papers
→ Quick access: CV, PhD Thesis, Teaching, Publications, Research Projects