Researchers at SmartLab explore various aspects of AI and ML, investigating innovative approaches to data analysis and predictive modeling. By pushing the boundaries of statistical learning theory, they aim to uncover the mathematical principles that underpin machine learning, leading to more predictable, efficient, and trustworthy algorithms.

This last topic has become of paramount importance in recent years, as AI systems increasingly influence various aspects of society, therefore SmartLab’s basic research has also been focused on creating systems that exhibit fairness, robustness, privacy, and explainability. This foundational research not only contributes to the academic field but also sets the stage for practical applications in diverse domains, which constitutes the second key goal of SmartLab, i.e. translating the theoretical advancements to practical solutions to societal and industrial fields, enhancing efficiency and innovation, through AI and ML, without sacrificing safety, within these critical sectors.

The SmartLab team is lead by 3 lab directors: prof. Davide Anguita, prof. Luca Oneto, and prof. Fabio Roli.
It also comprises 1 emeritus professor (prof. Sandro Ridella), 2 Assistant Professors (Dr. Luca Demetrio, Dr. Antonio Emanuele Cinà), and more than 10 people working as PhD students, postdoctoral, research associates and visiting researchers.