Giulia Grani

Giulia Grani is an Industry Process Consultant at Dassault Systèmes, where she works on production planning projects. She comes from an academic background, with solid experience as a researcher in Mathematical Optimization and Machine Learning, specializing in the development of AI-based optimization algorithms, particularly in the field of Deep Reinforcement Learning. Her main application areas are automation in the transportation sector, specifically in the aerospace and railway industries.

In the past, he has had research experiences in Rome, at Sapienza, and in Oslo, Norway, at SINTEF, the largest independent research organization in Scandinavia. In his work, he has been involved in numerous projects with high-profile private and public entities. Specifically, mention is made of nonlinear optimization on surrogate models of neural networks for the dynamic configuration of airspace, classification systems and automatic extraction through Natural Language Processing of information coming from documentary resources obtained via web scraping, and decomposition methods for the train dispatching problem. Many of his works have been published in international peer-reviewed journals in the field.