Research
Published work, grounded in engineering.
Research was never separate from practice. It sharpened how I think about models, systems, and how to compare approaches rigorously.
Research
Published in IEEE.
Peer-reviewed research on applying machine learning to physical system modelling — co-authored during my MSc at the University of Turin.
IEEE Transactions on Industrial Informatics
Q1 Journal
Experiments and Comparison of Digital Twinning of Photovoltaic Panels by Machine Learning Models and a Cyber-Physical Model in Modelica
This paper reflects the same pattern that shows up in my applied work now: use experimentation seriously, compare alternatives directly, and care about whether the model can survive outside a notebook.