Scholar
Paolo Cudrano
Google Scholar ID: YjUypF4AAAAJ
PhD Student, Politecnico di Milano
Citations & Impact
Citations
90
H-index
6
i10-index
3
Publications
19
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several papers on topics such as continual visual odometry and automated HD map creation for autonomous vehicles, presenting at conferences like CoLLAs 2024 and ITSC. Also participated in academic competitions, achieving notable results.
Research Experience
- Works as a Postdoctoral Researcher at AIRLab, Politecnico di Milano, primarily researching continual learning, multimodality, and large-scale models. His doctoral research focused on autonomous driving, particularly on the perception and mapping of road features.
Education
- Obtained a PhD in Computer Science and Engineering from Politecnico di Milano in 2025, under the supervision of Prof. Matteo Matteucci; earned MSc degrees in Computer Science and Engineering from both Politecnico di Milano and McMaster University, Canada, in 2019; received a BSc in Computer Science and Engineering from Politecnico di Milano in 2016.
Background
- Currently a Postdoctoral Researcher at Politecnico di Milano, focusing on continual learning and multimodal models, with a particular interest in how their scaling properties affect learning and knowledge transfer. During his PhD, he worked extensively on perception and mapping for autonomous driving.
Miscellany
- Spent three months visiting Mila - Quebec AI Institute, working on large-scale multimodal continual learning.
Co-authors