Curriculum Vitae

Education

PhD in Computer Science and Engineering, Politecnico di Milano (ongoing)
MSc in Computer Science and Engineering, Politecnico di Milano, 2019
MSc in Computer Science, McMaster University, 2019
BSc in Engineering of Computing Systems (Ingegneria Informatica), Politecnico di Milano, 2016

Summer 2024: Research Intern
- Multimodal Continual Learning @ Scale
- CERC-AAI Lab, Mila (Quebec AI Institute) & Université de Montréal
- Supervisor: Prof. Irina Rish
2020 – Today: Graduate Student (PhD)
- Continual Learning and Embodied AI
- Artificial Intelligence and Robotics Lab (AIRLab), Politecnico di Milano
- Supervisor: Prof. Matteo Matteucci
Winter – Summer 2020: Research Intern
- Real-time road line detection and centerline estimation for lateral control
- Artificial Intelligence and Robotics Lab (AIRLab), Politecnico di Milano
- Supervisor: Prof. Matteo Matteucci
2016 – 2019: Graduate Student (MSc)
- Thesis: Autonomous vehicle heading and centerline displacement estimation via computer vision
- Artificial Intelligence and Robotics Lab (AIRLab), Politecnico di Milano
- Supervisor: Prof. Matteo Matteucci
2017 – 2019: Graduate Student (MSc)
- Thesis: A study on lane detection methods for autonomous driving
- McMaster University, Canada
- Collab. with Centre for Mechatronics and Hybrid Technologies (CMHT), Hamilton, ON
- Supervisor: Prof. Martin von Mohrenschildt

Fall 2023: Teaching Assistant
- Tutorials (Esercitazioni)
- Fondamenti di Informatica (Fundamentals of Computer Science), Politecnico di Milano
Winter 2023: Teaching Assistant
- Tutorials (Esercitazioni)
- Informatica e Elementi di Informatica Medica (Computer Science and Elements of Medical Informatics), Politecnico di Milano
Winter 2022: Teaching Assistant
- Tutorials (Esercitazioni)
- Robotics | Perception, localization, and mapping for mobile robots, Politecnico di Milano
Winter 2021: Teaching Assistant
- Tutorials (Esercitazioni)
- Robotics | Perception, localization, and mapping for mobile robots, Politecnico di Milano

Xiaoyu Luo, “Continual learning for embodied AI: An empirical study of forgetting and transfer in visual odometry” (Apr 2024)
Chiara Magri, “Neural Tangent Kernels for Maximum Mean Discrepancy: A Comprehensive Analysis” (Apr 2024)
Erica Ceriotti, “An EKF-SLAM approach to plant counting” (Oct 2023)
Matteo Zinzani, “Design, developement, and validation of a skid-steering robot for agricultural terrains” (Jul 2023)
Mirko Usuelli, “The Lord of the Sensors: A Multi-Sensor Framework for SLAM” (May 2023)
Riccardo Cortelazzo, “Mapping of road markings for lane-based HD map generation” (May 2023)
Cristian Sbrolli, “Single-view shape reconstruction via Image-Conditioned 3D diffusion” (Dec 2022)
Milad Naseri Langehbiz, “Real-Time stabilization of inverse perspective mapping by exploiting lane markings invariants and vehicle angular velocity” (Jul 2022)
Barbara Gallazzi, “Clothoid-SLAM : simultaneous localization and mapping of line markings for autonomous driving HD maps” (Dec 2021)

2023: International Field Robot Event (FRE), Maribor, Slovenia
- Supervisor of the AIRLab Polimi team at student competition in agricultural robotics
- 3rd place in Task 3 (Sensing)
2023: International Field Robot Event (FRE), Virtual
- Supervisor of the AIRLab Polimi team at student competition in agricultural robotics

I am an active reviewer for the following journals and conferences:

IEEE Transactions on Intelligent Transportation Systems (T-ITS)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Intelligent Transportation Systems (ITSC)
IEEE Intelligent Vehicles Symposium (IV)
IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

2012 – 2017: Software Developer (Part-time)
- Cross-platform e-learning applications adopted in grade schools nationwide (Italy).