Alessandro Licciardi

Foto di Alessandro Licciardi

Dottorando in Scienze Matematiche , 39o ciclo (2023-2026)
Dipartimento di Scienze Matematiche "G. L. Lagrange" (DISMA)

Docente esterno e/o collaboratore didattico

Docente esterno e/o collaboratore didattico
Dipartimento di Scienze Matematiche "G. L. Lagrange" (DISMA)

Profilo

Dottorato di ricerca

Argomento di ricerca

Mathematical Methods in Machine Learning: Scientific Applications, Federated Learning, and Generative Models

Tutori

Interessi di ricerca

Fisica Matematica / Mathematical Physics
Intelligenza artificiale, Machine Learning, reti neurali / Artificial intelligence, Machine Learning, neural networks

Biografia

My research explores the mathematical foundations of Machine Learning, with a focus on developing new algorithms and architectures through rigorous modelling. A central part of my work involves applying Machine Learning to the natural sciences, including the analysis of whale vocalizations and the detection of gravitational waves.
From a theoretical perspective, my research concentrates on decentralized and privacy-preserving Artificial Intelligence, particularly Federated Learning. In this context, I investigate the connections between decentralized optimization, particle systems, physics, and social theory.
In collaboration with Eltek S.p.A., I study mathematics- and physics-informed Machine Learning for the design of efficient solutions in smart sensing, with applications ranging from healthcare to real-time humidity estimation and calibration.
In the final year of my PhD, I will focus on generative models, with an emphasis on their applications to molecular dynamics.

Didattica

Insegnamenti

Corso di laurea di 1° livello

  • Mathematical analysis I. A.A. 2024/25, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso

Pubblicazioni

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