Rabah Djebbes

Automation & Control Engineering Master's Student
Embedded Systems • Robotics • AI Control • Healthcare Devices

I am a Master's student in Automation & Control Engineering at the University of Sétif, finalizing my thesis on Sensor-Embedded Diabetic Shoes. My focus is on the intersection of healthcare and hardware, using STM32, Sensor Fusion, and AI-enhanced control to solve real-world problems.

I possess a unique hybrid background: 5+ years of Python/Django backend experience now applied to Embedded Systems. This allows me to not only program the microcontroller but also build the full-stack data pipelines that visualize and analyze the sensor data.

• Current Focus: Real-time gait analysis using Kalman Filters & PID.
• Looking For: Thesis collaborations, R&D roles in Healthcare Robotics, or Embedded Systems Engineering.

Firmware & Embedded	Hardware & Sensors	Control & Simulation	Software Foundation
	IMU (MPU6050)	PID Control
	BLE / FSR	Kalman Filter

Developing a wearable medical device to detect gait abnormalities and prevent diabetic foot ulcers.

• Core Tech: STM32F4, MPU6050 (IMU), FSR Pressure Sensors (x8), BLE 4.2.
• Algorithms: Kalman Filter for sensor fusion + PID for stability analysis.
• Impact: Achieved 95% accuracy in gait abnormality detection with a 50m wireless range and 72h battery life.
• View Repository • Watch Demo

A two-wheeled inverted pendulum robot demonstrating real-time control theory application.

• Core Tech: STM32, DC Motors with Encoders.
• Control: Implemented Complementary Filter for angle estimation and Cascade PID for motor control.
• Performance: Achieved stable balancing for 30+ seconds under disturbance.
• View Repository • Watch Demo

• Master's in Automation & Control Engineering | University of Sétif, Algeria (2025)
  • Thesis: Sensor-Embedded Diabetic Shoes
• Bachelor's in Control Engineering | University of Constantine, Algeria

📍 Based in Sétif, Algeria