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Ferdaous Masmoudi, PhD
Developing intelligent energy and robotic systems; modeling, optimization, embedded AI & prototyping.
Core Research Contributions
Optimization-driven photovoltaic energy system: modeling → tracking → power conversion → 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. The work integrates solar position computation, irradiance estimation, and the design of 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. The system combines photovoltaic source modeling, converter synthesis, and MPPT control to optimize energy extraction from solar modules.
- 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
Cloud 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
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Welcome
I am a multidisciplinary researcher with a PhD in Electrical Engineering, focusing on the design, development, and deployment of intelligent embedded and robotic systems in real-world environments.
My work has progressively expanded toward the integration of embedded intelligence, robotics, IoT, and advanced control architectures. I aim to bridge intelligent hardware with complex, dynamic environments, with a strong emphasis on adaptive behavior, real-time decision-making, and human–system interaction.
I aim to bridge intelligent hardware with complex, dynamic environments, with a strong emphasis on adaptive behavior, real-time decision-making, and human–system interaction.
Foundation in Energy Systems
My early work focused on photovoltaic & energy systems, where I developed a solar-tracking robotic platform for remote agricultural applications.
From Mechatronics to Autonomy
This foundation combined mechatronic design, embedded control, and energy optimization, naturally evolved into the design of intelligent autonomous systems integrating hardware, control logic, sensing, and real-time decision layers.
Robotics, AI & Connected Systems
I have led and contributed to applied R&D projects involving mobile robotics, sensor fusion, AI-based task execution, and cloud-connected monitoring platforms. These solutions were implemented in real operational contexts, addressing challenges related to autonomy, environmental interaction, and system reliability.
Current Research Direction
Today, I am especially interested in interdisciplinary research combining embedded intelligence, adaptive interaction, robotics, soft actuation, and brain-machine interfaces.
Expertise Areas
- Photovoltaic systems modeling & MPPT control
- Power electronics & DC-DC converter design
- Embedded systems & real-time control (STM32, ESP32, Arduino)
- Data-driven parameter identification & state estimation (EKF)
- AgriTech innovation & IoT platforms
- Mobile & web development (Android, REST APIs)
- Computer vision & AI/ML integration
Key Competencies
- Mathematical Modeling | Control Theory | Optimization
- MATLAB/Simulink | C++ | Python | Embedded Systems
- PCB Design & Firmware Development | IoT & LoRa
- ROS/ROS2 | Linux | Git | Cloud Platforms
Professional Background
Industry
Co-founder & R&D Lead at NOVEL-TI (2016–Present)
- End-to-end development of intelligent energy systems
- AgriTech solutions with blockchain-based traceability
- Multi-disciplinary technical team leadership
Academic Qualifications
Education
- PhD in Electrical Engineering, ENIS Sfax (2016)
- MSc in Electrical Conversion & Renewable Energy, ENIS Sfax (2012)
- Engineering Degree in Electrical Engineering, ENIS Sfax (2011)
3 Scopus-indexed journal publications & 12+ IEEE conference papers
→ Quick access: CV, Thesis, Publications, Research Projects