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Hatem Zehir

PhD in Biometrics

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Projects

Prayer Times Calculation and Display Using Arduino
Ongoing
Personal Project
  • Developed an embedded system using Arduino and Nokia 5510 LCD display to calculate and show islamic prayer times.
  • Integrated Real-Time Clock (RTC) module for accurate timekeeping.
  • Highlighted knowledge of embedded systems and practical application in daily life.
Skills: Arduino · Embedded Systems · Embedded Software Programming
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MicroPython-ESP32-Examples
Ongoing
Personal Project
  • Converted Arduino’s built-in examples to MicroPython for the ESP32 microcontroller.
  • Provides practical examples for developers transitioning from Arduino to MicroPython.
  • Covers basic I/O, digital and analog operations, and communication protocols.
  • Specifically adapted and tested for the ESP32 platform.
Skills: MicroPython · ESP32 · Embedded Systems · IoT · Python
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Internet-SpeedTest
Ongoing
Personal Project
  • Python script to measure internet speed and store results in an SQLite3 database.
  • Utilizes the Speedtest.net API for accurate speed measurements.
  • Logs data for future reference and analysis.
  • Simple setup with minimal dependencies.
Skills: Python · SQLite · Networking · Automation
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Obstacle Avoiding Robot Using Arduino
Jan 2022
Personal Project
  • Developed an autonomous robot using Arduino UNO, HC-SR04 ultrasonic sensor, servo motor, and DC motors.
  • Achieved autonomous navigation and obstacle avoidance through real-time distance measurement and trajectory adjustment.
  • Demonstrated proficiency in embedded systems and C++ programming.
  • Overcame challenges in sensor integration and motor control for smooth operation.
Skills: Arduino · Embedded Systems · Embedded Software Programming · C++
Design And Development Of Smart Contactless Thermometer
Jan 2021 – Jun 2021
Associated with Badji Mokhtar – Annaba University
  • Created a non-contact thermometer using Raspberry Pi 4B, MLX90614 sensor, and facial recognition with OpenCV.
  • Integrated SQL database for tracking temperature readings and individual identification.
Skills: OpenCV · Biometrics · Sensors · Actuators · Python · Embedded Systems · Embedded Software Programming · Embedded Linux · AI · Computer Vision
IoT Webserver Control and Data Monitoring Using ESP32
Jan 2020
Associated with Badji Mokhtar – Annaba University
  • Developed a home automation system using Thinger.io and ESP32 for remote control and monitoring.
  • Enabled real-time notifications and a user-friendly web interface for appliance control.
  • Considered scalability and security in design.
Skills: Embedded Systems · Embedded Software Programming · ESP32 Microcontrollers · IoT · PHP
Study and Realization of a Switch-Mode Power Supply
Mar 2018 – Jul 2018
Associated with Badji Mokhtar – Annaba University
  • Designed a variable and symmetrical power supply for laboratory use with outputs from 3V to 18V.
  • Utilized components like voltage regulators, transistors, and diodes for stable output.
  • Project tested and verified for performance and reliability.
Skills: PCB Design · Electronic Circuit Design

About Me

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Hatem Zehir is a researcher with a PhD in Biometrics. His research sits at the intersection of deep learning, signal and image processing, and biometric systems, with a focus on ECG-based person identification, multimodal fusion, and the deployment of AI on embedded and edge platforms using TinyML.

His work addresses real-world challenges across biomedical and healthcare systems, security and identity verification, and edge intelligence, and has been published in Q1/Q2 journals including Multimedia Tools and Applications, Arabian Journal for Science and Engineering, and Evolving Systems, as well as IEEE conferences. He also serves as a peer reviewer for Scientific Reports and BMC Cardiovascular Disorders.

Alongside his research, he held a temporary teaching position at Badji Mokhtar University, where he lectured and instructed courses in image processing, artificial intelligence, signal processing, and programming.

He is currently seeking a postdoctoral position in biometrics, AI, or related fields.

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