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Lorenzo Innocenti

Lorenzo Innocenti's picture

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 41st cycle (2025-2028)
Department of Control and Computer Engineering (DAUIN)

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

Adjunct lecturer/Adjunct instructor
Specialising Master’s Programmes and Lifelong Learning School (SCMAST)

Profile

PhD

Research topic

Spatio-Temporal Data Science

Tutors

Keywords

Data science, Computer vision and AI

Biography

Lorenzo Innocenti is a Machine Learning Researcher at the LINKS Foundation, where he works on deep learning techniques for Earth Observation, including image segmentation, regression, and the use of foundation models. He holds a Master’s degree in Computer Science and Engineering from Politecnico di Milano and a Bachelor’s degree in Electronic and Telecommunication Engineering from the University of Florence, both awarded with highest honors. In 2025, he began his PhD in Computer and Control Engineering at Politecnico di Torino within the Database and Data Mining Group (DBDMG). His research focuses on developing Artificial Intelligence models for heterogeneous spatiotemporal data, ranging from satellite imagery to sensor time series and textual information, with the goal of improving predictive capabilities and supporting applications in climate change, environmental monitoring, and disaster management.

Teaching

Teachings

Master of Science

Research

Research Areas/Fields/Groups

Publications

Latest publications View all publications in Porto@Iris