Experienced in robotics and autonomous vehicle systems, electric vehicle systems, and marine manufacturing, as well as installation, maintenance, and preventive servicing of medical equipment. I deliver reliable, safe, and innovative engineering solutions that combine mechanical, electrical, and electronic expertise.
I earned my Bachelor's degree in Mechatronics and Robotics Engineering from the Egyptian Russian University with a GPA of 3.72/4 and an Excellent graduation project grade. When I'm not engineering, I enjoy exploring new technologies and continuous learning in robotics and autonomous systems.
Hi, I am MOHAMED ABDELMONEM
I am a _
Mechatronics and Robotics Engineer with hands-on expertise in robotics, autonomous vehicles, biomedical systems, and marine engineering. Experienced in marine electrical systems and small boat installation. Passionate about delivering innovative engineering solutions.
About
Naima Autonomous Vehicle
2025
Naima is an autonomous vehicle framework built using ROS 2 Humble, integrating the ZED 2 stereo camera and UBLOX GPS with advanced navigation tools such as Nav2, SLAM, and sensor fusion using dual EKF localization. The system features a modular architecture for real-time autonomous navigation and robotics research.
Education
EGYPTIAN RUSSIAN UNIVERSITY
Bachelor's Degree in Mechatronics & Robotics Engineering
Experience
Code Ten
Performing on-site installation, commissioning, and servicing of medical, dental, and aesthetic equipment across multiple medical centers.
Tiger Marine Boats
Handle electrical distribution and installation of marine systems, navigation, and safety devices.
Neutrino Racing Team
Specialized in dynamic track mechatronics and autonomous vehicle development for electric and self-driving vehicles.
RGS-ERU (Robotics Geeks School)
Validated multiple robotics projects using diverse microcontrollers with strong programming fundamentals in C++ and Python.
Projects
Naima Autonomous Vehicle Project
Building autonomous mobility with ROS 2
Naima is an autonomous vehicle framework built using ROS 2 Humble. It integrates the ZED 2 stereo camera and UBLOX GPS with advanced navigation tools such as Nav2, SLAM, and sensor fusion using dual EKF localization. The system is designed with a modular architecture for real-time autonomous navigation and robotics research.
Electric Vehicle – Neutrino Racing Team (EVER Egypt 2024)
Designing and building an electric race vehicle
As a member of the Neutrino Racing Team, we designed and built an electric vehicle to compete in the EVER Egypt 2024 Electric Vehicle Rally. The competition brings together engineering teams from Egyptian universities to design, manufacture, and test fully functional electric cars in a real racing environment.
ABB IRB 4600 Robot Kinematics Project
Forward & Inverse Kinematics with trajectory planning
Simulation of the ABB IRB 4600 industrial robot using CoppeliaSim and Python. The project implements Forward and Inverse Kinematics with trajectory interpolation to control the robot motion.
PCB Design with Altium Designer
From schematics to PCB layout
Completed a comprehensive PCB design course using Altium Designer, covering professional schematic creation, component selection, 3D footprint placement, annotation and validation, and efficient PCB layout and routing. Hands‑on designs included a power supply and a full Arduino Nano board implementation with successful routing.
Autonomous Track – EVER Electric Vehicle Rally
Simulation & integration using MATLAB, ROS & CoppeliaSim
Represented the Neutrino Racing Team at the Autonomous Track of the EVER Electric Vehicle Rally in New Alamein City. Developed a detailed simulation model using MATLAB Simulink integrated with ROS and CoppeliaSim, achieving seamless testing and refinement across multiple project milestones. This experience highlights advanced modeling, simulation, and system integration capabilities in autonomous vehicle research.
Real-Time Image Processing Using MATLAB and IP Camera
Live object detection and visualization
This project demonstrates real-time object detection using MATLAB with an IP Camera. It captures live video, processes each frame to remove noise, and visualizes results by drawing bounding boxes around detected objects. The system uses MATLAB's Image Segmenter Toolbox and integrates with the IP camera for live streaming and processing.
Skills
C, C++, MATLAB, Python
ROS/ROS2, Control Systems
Arduino, Raspberry Pi, Microcontrollers
Sensor Fusion, Real-time Control
SolidWorks, CAD, Technical Drawings
CoppeliaSim, MATLAB Simulink
System Integration, Troubleshooting
Electrical Systems, Electronics
