Heba Ayman Email & Phone Number

• Managed team of 13 members from a technical standpoint through regular weekly meetings, facilitating retrospectives, discussing updates and Led non-technical aspects of management in teambuilding activities & their importance in productivity.• Contributed to the Supervisor module within the system which resulted that the system workedwithin 3 hours in non-previously known environment in UK.• Developed the top-level software module integrated with ROS for an autonomous vehicle system.• Managed all system components ensuring communication and coordination between modules.• Implemented core functionalities such as initiating, terminating, and monitoring individualmodules visualized by an interactive GUI.

●MPC Code: Model predictive control (MPC) optimizes control inputs by minimizing an objective function. The objective function considers present and predicted system variables, evaluated using an explicit model to predict future outputs. ● LQR Code: The LQR algorithm streamlines controller optimization, requiring specification of cost function parameters. Used to manage car deceleration and acceleration, ensuring safety spacing to avoid collisions with front cars, people, and objects. ● PID Controller: Implemented as a throttle controller. ● Pure Pursuit & Stanley: Utilized as steering controllers