Current students


VESCOVI MATTEOCycle: XXXIX

Advisor: TANELLI MARA
Tutor: VANTINI SIMONE

Major Research topic:
Physics-Informed explainable tools for monitoring of safety-critical ; components in sustainable transport systems

Abstract:
To tackle complex problems involving interaction of multiple apparatuses, scientific machine learning represent a valuable tool.
Especially when safety-critical components are involved, techniques like the Autonomous Physics-Informed Mixture of Experts could provide
meaningful insights to assist the design and monitoring of such systems. With this research proposal I aim to provide a comprehensive
mathematical description of some subsystems involved in new mobility paradigms, like shared fleet managment (maintenance planning, usage modelling and forecasting) and modal-shift.