PhD Students – XLI Cycle

Fabio Carrozzo

Mathematical logic, within the Model Theory of commutative rings and modules, with particular attention to model companionship and model completion.

fabio.carrozzo[at]unina.it

Giuseppe De Luca

I work in mathematical logic, in particular the model theory of algebraic structures, with a special interest in problems of existential closedness and the existence of the model companion for theories of commutative rings and fields.

giuseppe.deluca6[at]unina.it

Nicola Mancino

Theory of infinite groups, generalised normality conditions. In particular, the behaviour of the pronormal subgroups of a group.

nicola.mancino2[at]unina.it

Antonio Porricelli

Shape optimization, symmetrization techniques and the study of geometric-functional inequalities for variational problems related to elliptic partial differential equations.

antonio.porricelli2[at]unina.it

Giovanni Ramaglia

Theory of infinite groups, with particular attention to the influence of the lattice of closed subgroups on a profinite group.

giovanni.ramaglia[at]unina.it

Antonio Sarnataro

I work on Kodaira fibrations, in particular Double Kodaira Fibrations, and more generally on the Algebraic Geometry of compact connected surfaces over the complex field.

antonio.sarnataro2[at]unina.it

Alessia Vallefuoco

Geometry over finite fields and applications to coding theory.

alessia.vallefuoco[at]unina.it

Giuseppe Zampella

Theory of polynomials and applications to algebraic coding theory.

giuseppe.zampella[at]unina.it

Lingyu Qiu

 Federated Learning and Generative AI.

lingyu.qiu[at]unina.it

S M Asiful Huda

Federated Graph Learning.

smasiful.huda[at]unina.it

Makhmoor Fiza Murk

Federated Learning and Large Language Models.

makhmoorfiza.murk[at]unina.it

Andrea Salvatore

Numerical solution of partial differential equations, with particular attention to applications of Physics-Informed Neural Networks in computational fluid dynamics.

Meng Jin

Development and analysis of artificial intelligence algorithms, decentralised federated learning techniques and distributed optimisation methods for intelligent, secure, scalable and privacy-preserving systems.