Dr. Marco Mirabilio

Developed and scaled software pipelines for environment data processing and scenario re-simulation (Python, Octave/MATLAB). Implemented core functionalities including ROS data parsing, time synchronization, and coordinate transformations, as well as batch processing of multiple scenarios via Bash scripting. Designed and developed a physics-based tire model for vehicle dynamics simulation. Contributed to defining a fault-tolerant braking control strategy.

Analyzed Stellantis brake system requirements, assessed coverage in existing embedded brake control software (including traction control and ESC), and implemented modifications to close gaps. Developed physics-based models for estimation and validation purposes, including 0D/1D heat transfer models and tire-road friction estimation. Coordinated with international engineering teams across Europe, US, and China, facilitating technical alignment and knowledge exchange.

Developed model-based solutions for diesel exhaust systems (MATLAB/Simulink), including 1D heat transfer models for Diesel Oxidation Catalyst (DOC). Analyzed and interpreted system and software requirements using DOORS, supporting requirement consistency and traceability. Executed Hardware-in-the-Loop (HIL) tests to validate system functionality and identify issues. Collaborated with cross-functional teams within an ASPICE-compliant development environment.

Conducted research on stability of vehicular platoon systems for autonomous driving applications, using macroscopic traffic variables (e.g., average traffic speed) to define stability conditions. Developed non-linear modeling approaches for interconnected systems, extending applicability beyond automotive to general multi-agent systems. Applied Model Predictive Control (MPC) techniques to eco-driving strategies, focusing on energy efficiency and collision avoidance.