Paolo Cremonesi


Courses a.y. 2020/21: Applied Quantum Machine Learning (PhD level), Recommender Systems and Multidisciplinary Project (master’s degree level).

Thesis supervision: topics are mainly in the field of Recommender Systems and Quantum Computing, but also in Performance autotuning, Natural Language Processing and Learning Analytics. Our thesis are usually related to undergoing research projects and therefore are aimed at publishing an article; this should be taken into account when considering the scope and depth of required work.

Double Degree Programme: local coordinator of the EIT Digital Master School in Data Science (Laurea Magistrale in Computer Science and Engineering)