Matteo Pardi
Researcher
Matteo Pardi received his Bachelor’s degree in Physics in 2021 and his Master’s degree in Physics in 2023, both with full marks (110/110 with honors), from the University of Pisa, Italy. His studies focused on theoretical physics, complex systems, statistics and machine learning. For his Master’s thesis, he worked on applying machine learning techniques to graph-structured data.
From 2023 to 2025, he worked in the radar industry as a Radar System Analyst, developing models and algorithms for radar architectures and signal processing.
Since 2025, he has been a Research Collaborator at the Radar and Surveillance Systems (RaSS) National Laboratory of CNIT. His research focuses on radar architectures, signal processing, and the application of machine learning to radar systems, with a particular focus on multistatic radars and radar imaging.