MSc Control Systems Engineering
University of Padua
Coursework includes intelligent robotics, estimation and filtering, learning dynamical systems, embedded real-time control, computer vision, and spacecraft attitude dynamics.
Curriculum vitae
Control Systems Engineering MSc student with a mechatronics background in robotic-system development, magnetic levitation, embedded sensor integration, and hardware–software validation.
Education
Coursework includes intelligent robotics, estimation and filtering, learning dynamical systems, embedded real-time control, computer vision, and spacecraft attitude dynamics.
Mechanical and Manufacturing Engineering with a focus on Applied Mechanics, Control, Mechatronics, and Robotics. GPA 3.60/4.00.
Professional experience
Delivered undergraduate engineering laboratory sessions, developed practical materials, and supported academic software tools.
Developed control and embedded software for the XFly drone, integrated Bluetooth communication, and tested resource-constrained hardware.
Developed controllers, automation, and an HMI for hydroponic systems with MATLAB/Simulink and B&R Automation Studio.
Selected project experience
ROS 2 migration, STM32 and micro-ROS sensor interfaces, localization, visual odometry, and vehicle hardware integration.
Modelled, designed, and experimentally validated a 1-DOF magnetic-levitation system using vibrational control.
3D LiDAR and GNSS evaluation plus URDF development from CAD assemblies for future simulation and system integration.