VESCOVI MATTEO | Cycle: 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.
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.
Cookies
We serve cookies. If you think that's ok, just click "Accept all". You can also choose what kind of cookies you want by clicking "Settings".
Read our cookie policy
Cookies
Choose what kind of cookies to accept. Your choice will be saved for one year.
Read our cookie policy
-
Necessary
These cookies are not optional. They are needed for the website to function. -
Statistics
In order for us to improve the website's functionality and structure, based on how the website is used. -
Experience
In order for our website to perform as well as possible during your visit. If you refuse these cookies, some functionality will disappear from the website. -
Marketing
By sharing your interests and behavior as you visit our site, you increase the chance of seeing personalized content and offers.