Hi, I'm Giacomo Corradini

Mechatronics Engineer & PhD Candidate

Giacomo Corradini

About Me

I'm a really willing engineer and I like to work hard in order to achieve my targets. I'm always looking forward to learning something new. I'm extremely passionate about motorsport, especially about its technical side.

Currently pursuing my PhD in Materials, Mechatronics and Systems Engineering, I focus on developing autonomous driving systems that can replicate the expertise in driving style of professional racing drivers. My research bridges the gap between human driving skills and cutting-edge autonomous vehicle technology.

Research

Research Topics

Driving Style

Modeling and analyzing professional racing drivers' behavior and decision-making processes.

Autonomous Driving

Developing intelligent agents that replicate human driving expertise in high-performance scenarios.

Optimal Control & Optimization

Designing minimum-time simulators using optimal control theory and advanced optimization techniques.

Dynamic Systems Modeling

Mathematically modeling vehicle dynamics and complex physical interactions.

Driver-in-the-Loop Simulations

Human-machine interaction studies and autonomous system validation.

Publications

Estimation of Tire Forces and Torques via Nonlinear Suspension Models and Optimal Control

Estimation of Tire Forces and Torques via Nonlinear Suspension Models and Optimal Control

Giacomo Corradini, Davide Stocco, Enrico Bertolazzi, Francesco Biral

ASME Journal of Computational and Nonlinear Dynamics, 2025

Experience

PhD Researcher

DRIVEWISE Lab

Supervisors: Prof. Francesco Biral, Dr. Mattia Piccinini

Head of Racing Team

E-Agle Trento Racing Team

Education

PhD in Materials, Mechatronics and Systems Engineering

University of Trento

Research Focus: Analyze, understand and imitate the style and skills of professional and racing drivers to design an autonomous system that drives at the limit like a human.

Master's Degree in Mechatronics Engineering

University of Trento

Thesis: Development of a methodology to estimate tyre forces and moments of a race car based on measurements of arms deformation of a double wishbone suspension type.

Bachelor's Degree in Industrial Engineering

University of Trento

Thesis: Design of a modular optical receiver for fluorescent biosensors