Mohammed Rayyan is a Mechanical Engineering student at the University of Leeds with experience in mechanical design, robotics, simulation, and analysis. He has worked on Formula Student AI, a robot arm master’s thesis pr…
Mohammed Rayyan is a Mechanical Engineering student at the University of Leeds with experience in mechanical design, robotics, simulation, and analysis. He has worked on Formula Student AI, a robot arm master’s thesis project, helicopter stabilizer optimization, and engineering design activities using tools such as SOLIDWORKS, MATLAB/Simulink, Abaqus, Arduino, ROS, Gazebo, C++, Python, and Raspberry Pi.
Led the Mechanical Design team to manufacture the chassis of 1/10th of the car which ensured high stability and fully accommodated 1 microprocessor, 3 actuators and 2 sensors (servomotor, LiDAR etc.).
Tested sensors and studied software architecture while leading the team to design 1/8th of the car model.
Implemented SLAM and ROS (and Gazebo) with C++ and python to build a navigation system and a simulation environment for the autonomous vehicle.
Assisted a team to develop a robot arm to reduce labor by 50% to aid research in Microbiology.
Tested electrical components like servo motors and programmed Raspberry Pi using python to achieve 100% automatic plating on petri dishes.
Utilized 3D CAD to design mechanical gripper.
Simulated the actions of the robotic system using MATLAB Simulink Robotic Systems toolbox and Simscape to evaluate design, save project time by 40% and reduce costs for testing.
Performed FEA analysis of R22 helicopter stabilizer in Abaqus by conducting sensitivity tests for the model at 14 different heights to analyze failure.
Replaced the original material (Aluminum) of the stabilizers with a carbon fiber composite and identified the mechanical performance at 30 composite fiber orientations using FEM.
Created a trend of no. of fibers vs fiber orientations which predicted the best fiber configuration.
Improved the mechanical performance by 30% and reduced weight by 15%.
Manufactured a buggy from scratch using aluminum box sections, 3mm metal sheets, wheels, motors and electrical components like Arduino Mega and encoders.
Led a team of 7 and directed manufacturing techniques such as drilling and sheet metal bending and cutting.
Performed mechanical and modal analysis using simulations to design the suspension.
Programmed the buggy using Arduino to calibrate the motors and track using encoders.
Finished 3rd in the competition against 17 teams.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
