Marco Fiorucci

Marco Fiorucci is an Experienced Researcher Marie Curie in Machine Learning at the Centre for Cultural Heritage Technology (CCHT) of the Istituto Italiano di Tecnologia (IIT). He is working mainly in the field of Machine Learning, with particular emphasis on optimal transport. In this context, Marco has won a MSCA-IF for his OPTIMAL project that aims to develop an efficient and principled Machine Learning  approach based on Optimal Transport to automatically detect looting (past and present) directly on airborne  LiDAR point cloud time-series. He is a computer scientist with a solid broad background, spanning from Physics and Machine Learning to Graph Theory and Statistics. He has successfully worked on several different interdisciplinary projects in academia and in industry. He received the Master degree (summa cum laude) and his PhD in Computer Science from Ca’ Foscari University of Venice respectively in 2015 and 2019. He held visiting research position at the University of Alicante and at VTT (Finland). More recently, he has shifted his attention to the analysis of EO data (multispectral and hyperspectral data) and airborne LiDAR for detecting sub-surface archaeological sites (ESA-CLS). In addition to research, Marco is one of the co-founder and co-organizer of DataBeersVenezia and one of the communication managers of the CCHT.