Filippo Velardocchia

Filippo Velardocchia serves as a Research Fellow at the Department of Management and Production Engineering (DIGEP) at Polytechnic University of Turin. His academic work focuses on the intersection of artificial intelligence and transportation engineering, particularly in developing safety systems for heavy vehicles.

His research interests center on applying advanced machine learning techniques to solve critical challenges in vehicle dynamics and safety. Specializing in Long-Short Term Memory networks and synthetic data generation, Velardocchia's work addresses the complex problem of heavy vehicle rollover prevention across various operational conditions. His expertise spans both theoretical algorithm development and practical implementation of AI solutions for real-world transportation challenges.

Analysis of his publication record from 2022-2025 reveals a focused research trajectory on enhancing vehicle safety through artificial intelligence. His work demonstrates increasing sophistication in handling real-world challenges such as noise in sensor data and operational variability in different vehicle types and terrains. The consistent collaboration with Guido Perboli suggests a strong research group focused on intelligent transportation systems at Polytechnic University of Turin.

Velardocchia completed his doctoral studies in the XXXVII Cycle under the supervision of Guido Perboli, with his thesis focusing on enabling artificial intelligence techniques at the operational level. His research has been published in reputable venues including IEEE Open Journal of Intelligent Transportation Systems and various international conference proceedings focused on logistics and transportation.