Scholar
Alessandro Betti
Google Scholar ID: SBgRcNUAAAAJ
Scuola IMT Alti Studi Lucca
Citations & Impact
Citations
405
H-index
11
i10-index
11
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Has a Google Scholar profile, with an Erdős number of 4. Taught the course 'Fondamenti di Informatica' from 2019 to 2020.
Research Experience
- Since November 2021, has been a postdoctoral researcher at Université Côte d’Azur (Nice, France) and a member of the Maasai team. Currently working on formulating online continual learning in a principled manner, aiming to investigate the relationship between learning problems over time and optimal control. Also involved in studying a singular transport equation that arises as a formal limit of the discrete open mancala game.
Education
- Received a Ph.D. in Computer Science (Smart Computing) from the Universities of Florence, Pisa, and Siena in 2020, with a thesis titled 'A Variational Framework for Laws of Learning'. Earned a Master's Degree in Theoretical Physics from the University of Pisa in 2016, focusing on the Complex Projective Model on a Worldstrip. Graduated in Physics from the University of Pisa in 2014, with a thesis on the well-posedness of symmetric systems of PDEs.
Background
- Postdoctoral researcher in the field of Machine Learning and Artificial Intelligence. Research interests include machine learning algorithms for processing data streams with dynamic properties, and applications in Computer Vision. Theoretically, proposed a framework based on Calculus of Variations to interpret laws of learning.
Miscellany
- Passionate about digital typography and a huge fan of the TeX typesetting system developed by Donald E. Knuth. Loves doing drawings in John Hobby’s MetaPost. In spare time, mostly devoted to studying the theory and practice of pasticceria, inspired by the work of Igino Massari.
