Engineer and researcher specializing in Embedded Systems, IoT, Edge AI, and intelligent energy management. Skilled in embedded software development (C/C++), real-time control, and software-in-the-loop (SIL) testing. Experienced in system modeling, optimization, and control for energy-efficient and autonomous applications. Passionate about developing smart, adaptive, and sustainable embedded solutions that drive technological innovation. During my PhD, I specialized in energy optimization for hybrid vehicles. My research integrates embedded systems, intelligent control, and sustainable energy solutions. With hands-on experience in both academic and industrial environments, I bring a strong foundation in embedded software development, electronics design, and optimization techniques.
- PhD Focus: Energy optimization strategies for hybrid vehicles using intelligent control and fuzzy logic-based EMS, IoT
- Domains: Embedded systems, electronics, optimization, intelligent systems.
- Interests:
- Sustainable energy and hybrid vehicle technologies
- Edge AI and IoT for intelligent systems
- Hardware-software integration and workflow automation
- Machine learning applications in optimization and control
Programming & Development
- C/C++, Python (OOP, Data Analysis, Machine Learning)
- ARM Cortex-M, ESP32, STM32
- FreeRTOS, Zephyr RTOS, ESP-IDF, MATLAB/Simulink
Tools & Environments
- Git/GitHub, Docker, QEMU simulation
- Electronic circuit & PCB design (KiCad)
- Communication protocols: I²C, SPI, UART, CAN
Engineering Areas
- Embedded systems design & hardware interfacing
- Energy optimization for hybrid vehicles
- IoT and Edge AI integration
- Hardware-in-the-loop (HIL) testing and system modeling
- PhD Research: Developing an intelligent, comprehensive energy management system for electric and hybrid vehicles.
- Workflow Optimization: Streamlining Docker storage and system configuration for scalable embedded development.
- Applied Research: Hardware-in-the-loop testing with DSpace Scalexio during visiting researcher placement at the University of Sussex.
- Visit my portfolio for more projects: My portfolio
- Particle Swarm Optimization of Fuzzy Logic-Based Energy Management System for Enhanced Efficiency in Fuel Cell Hybrid Electric Vehicles, Sustainable Computing: Informatics and Systems, 2025
- Comprehensive Optimization of Fuzzy Logic-Based Energy Management System for Fuel-Cell Hybrid Electric Vehicle Using Genetic Algorithm, International Journal of Hydrogen Energy, 2024
- Design of Fuzzy Logic-Based Energy Management System for Fuel Cell/Battery Hybrid Electric Vehicle, 2023
- Portfolio: portfolio.abdesattarmazouzi.workers.dev
- GitHub: github.com/abdesattar-mazouzi
- LinkedIn: linkedin.com/in/abdesattar-mazouzi
- Email: sattarmazouzi@outlook.com