Faculty

Nicola Guglielmi

Nicola Gugliemi is full professor in Numerical Analysis and Chair of the Doctoral School in Mathematics at GSSI. He is interested in the general area of scientific computing, particularly numerical analysis of ordinary and delay differential equations, stability analysis of (discretized) dynamical systems - including variable coefficient and switched systems - and ode methods in matrix perturbation theory and control, for high-dimensional problems. More specifically: Stiff and singularly perturbed problems (in particular in the framework of delay differential equations); software development for general classes of implicit delay differential equations; stability analysis of numerical integrators for ordinary and delay differential equations; computation of the joint spectral characteristics of a set of matrices, with application to contractivity analysis of time dependent systems of differential and difference equations; ode-based pseudospectral computations for both unstructured and structured problems; non-smooth analysis of discontinuous differential equations with focus on the computation of weak solutions.
Personal Web Page

Francesco Tudisco

Hi! I am Associate Professor of Mathematics in the Numerical Analysis and Data Science group at the Gran Sasso Science Institute, an International School of Doctoral Studies and the ‘youngest’ among the Italian Schools of Excellence. My research interests lie at the intersection between matrix theory, numerical analysis, network science and machine learning. I am particularly interested in methods for nonlinear eigenvector problems, improving stability, efficiency and trustworthyness of machine learning pipelines, the application of deep learning in scientific computing, and higher-order graph models in data mining. Before moving to the GSSI, I was a Marie Curie Individual Fellow at the University of Strathclyde, Glasgow (UK), working on the project: MAGNET: Models and algorithms for graph centrality based on nonlinear eigenvalue techniques. Prior to that, I held research assistant positions at Saarland University (Germany) and University of Padua (Italy). I obtained my PhD in Mathematics in 2015 from the University of Rome Tor Vergata (Italy).
Personal Web Page.


Postdocs

Angelo Alberto Casulli









Asma Farooq









Francesco Paolo Maiale









Piero Deidda










PhD Students

Arturo De Marinis

Arturo De Marinis is a PhD Student in Mathematics in Natural, Social and Life Sciences at GSSI. He holds a degree in Mathematics from the University of Bari Aldo Moro. In his thesis, he proposed numerical methods for trajectory optimization of unmanned aerial vehicles based on optimal control theory. His current research interests lie between numerical analysis and machine learning, in particular he is now studying the stability of new machine learning models for supervised learning, the so called neural ordinary differential equations.


Bernardo Collufio

Bernardo Collufio is a PhD student with PNRR fellowship in the “Mathematics in Natural, Social and Life Sciences” curriculum at the GSSI. He obtained a Bachelor’s degree in Mathematics at University of Messina and a Master’s degree in Applied Mathematics at University of Pavia, where he specialized in Mathematical Physics. The topic of his Master thesis was about the formulation, mathematical study and simulation of a kinetic model that could describe first ionization's processes of monatomic rarefied gases confined in reflective and bounded containers. His main interests concern the mathematical methods and models used for describe plasmas and interacting particles systems.

Dayana Savostianova

Dayana Savostianova is a PhD Student in Mathematics in Natural, Social and Life Sciences, GSSI. Previously, she was a Research Intern at the Complex Systems Modelling and Control Laboratory, Department of Computer Sciences, Higher School of Economics (Moscow, Russia). She holds a BSc in Applied Mathematics and Information Science from Higher School of Economics. Her current research interests are in the scope of complex systems, mathematical modelling and direct numerical simulations of natural processes. Her previous work was focused on predictability in Self-Organised Criticality systems.

Emanuele Zangrando









Francesco Fabbri

Joint supervision with Prof. Francesco Viola.








Grigorii (Grisha) Buklei

Grigorii (Grisha) Buklei is a PhD Student in Mathematics in Natural, Social and Life Sciences, GSSI. He was awarded with PNRR-funded scholarship. Previously, Grigorii was a Research Intern at the Complex Systems Modelling and Control Laboratory, Department of Computer Sciences, Higher School of Economics (Moscow, Russia). He holds a BSc in Applied Mathematics and Information Science from the Higher School of Economics. His current research interests are in the scope of mathematical modeling, Bayesian experimental design, and algorithmic game theory.

Helena Biscevic

Joint supervision with Prof. Raffaele D'Ambrosio.








Miryam Gnazzo

Miryam Gnazzo is a PhD student in Mathematics at the GSSI in L’Aquila. She holds a MSc in Mathematics from the University of Pisa, with a thesis about a resultant-based method for bivariate rootfinding. Her current research interests are in the field of numerical linear algebra, particularly in multivariate polynomial rootfinding.




Pietro Sittoni

Pietro Sittoni is a PhD student in Mathematics in Natural, Social, and Life Sciences. He holds a MSc in Data Science from the University of Padova. During his thesis, he studied the properties of subhomogeneous operators, exploiting them to present a new analysis of the existence and uniqueness of fixed points, using it to design stable deep equilibrium models and applying it to mathematical optimization.



Rinat Kamalov

Joint supervision with Prof. Vladimir Protasov.








Sara Tarquini









Stefano Sicilia

Stefano Sicilia is a PhD Student in Mathematics in Natural, Social and Life Sciences at GSSI. He studied Mathematics at the University of Pisa both for Bachelor’s and Master’s degrees, focusing on applied mathematics, numerical analysis and data science. His Master’s degree thesis deals with numerical methods for polynomial root-finding. His current research interests are numeric linear algebra, polynomial root-finding and numerical methods for differential equations.




Former Members

Anton Savostianov (PhD student)
Alessia Andò (postdoc)
Konstantin Prokopchik (PhD student)
Mattia Manucci (PhD student)