Giuseppe Francesco Cardone

Recently graduated Mechatronics Engineer driven by a strong curiosity for technology and control. My academic path spans biomedical devices, three-phase machine control, analog electronics, and mechanical systems. Extensive project and lab experience has strengthened my technical problem-solving skills while teaching me the value of responsibility, communication, and collaboration in team-based engineering environments.

mar 2024 - lug 2024 | ‘Electronics for Mechatronics Systems’ laboratory

- Design and simulation of electronics circuits in LTspice.
- Electronics lab equipment (oscilloscope, multimeter, DC power supply, waveform generator)
- Measurements and comparison between theoretical, simulated and experimental results
- Reports in Overleaf

• Competenze: LTspice · Matlab · Electronics Lab equipement · Overleaf

set 2024 - gen 2025 | 'Automotive Control Systems' laboratory

- Carsim ABS Control
- Carsim Yaw Control
- Matlab Powertrain Blockset Lambda Control- Carsim ABS Control - Carsim Yaw Control - Matlab Powertrain Blockset Lambda Control

• Competenze: CarSim · Simulink

nov 2024 - feb 2025 | 'Networking Technologies for Connected Vehicles' laboratory

- Latency and PRR definition for different settings.
- Development of a simple application in C++ capable of decreasing vehicle speed in proximity to pedestrians, exploiting the exchange of VAM packets.

• Competenze: ns-3 · SUMO · C++

gen 2026 - | Self-directed simulation of a vCAN.

-Simulation of a vCAN using SocketCAN.
-Traffic analysis using SavvyCAN, including log file acquisition and DBC file usage.

• Competenze: SocketCAN · SavvyCAN

• ‘Modelling and Simulation of Mechatronics Systems’, modelling of mechatronic systems, State space equations determination using Lagrange or Bond Graph methods.
• ‘Electronics for Mechatronics Systems’, design of circuits with Op-Amps, Capacitors, Diodes, Transistors, U/D Counters with particular attention to the signal acquisition and conditioning, PWM signal, comparator and simple dc motor drivers.
• ‘Automotive control systems’, ABS, ESP, Lambda control (Simulink and CarSim), Idle speed control, Ignition angle control.
• ‘Networking technologies for connected vehicles’, CAN, LIN, IEEE 802.11 standard, C-V2X communication, Localization with GNSS.
• ‘Robotics’, Kinematics and Dynamics of manipulators, computer vision techniques for robotics, control strategies, mobile robots, ROS basics.
• ‘Sensors, embedded systems and algorithms for Service Robotics’, Probability theory, Dynamics of mobile robots, ROS/ROS2, mapping, localization, trajectory planning, Labs with Turtlebot burger.
• ‘Estimation, Filtering, System Identification’, main statistical estimation methods(LS, WLS...), Kalman Filter theory, ARX, ARMAX, OE models for system identification.
• ‘Electrical Technologies for e-mobility’, power devices, buck/boost DC/DC converter, VSI, dc motors, 3-phase motors, frame transformations, basic control techniques, battery chargers.
• ‘Electric Motor Drives for ePowertrains’, detailed modelling of high-power 3-phase e-powertrains including losses, high-performance torque control techniques, Flux-observer and PLL
• ‘Automatic control’, Control theory fundaments, observability reachability, pole-placement control technique, Loop shaping approach with lead-lag and PID functions, asymptotic state observer.
• ‘Digital control technologies and architectures’, analysis and design of digital control systems. Analysis of discrete time sampled data and digital systems. Realization of digital controllers and Model Predictive Control fundamentals.
• ‘Automation and planning of production systems’, Industrial automation, CNC machines, Ladder-diagram approach in PLC programming. Queuing and scheduling theory.

English Language certificate: IELTS: 7.0 (2023)