Martedi 10.30-12.30
Interessi di ricerca:
- metodi Numerici per problemi di ottimizzazione non lineare,
- tecniche di precondizionamento per sistemi lineari in ottimizzazione,
- risoluzione di problemi di ottimizzazione che nascono nell'ambito dell'apprendimento automatico,
- metodi Interior Point.
pagina web personale
Legenda
TEACHING AND PROFESSIONAL ACTIVITIES
Courses in Numerical Analysis and Optimization taught at University of Florence since 2002.
Member of the Scientific Committee (Collegio di Dottorato) of the Doctoral School on Industrial Engineering, University of Florence.
Department Delegate for VQR (Research Quality Assessment) and for the CRUI system for supporting the evaluation of scientific production.
Chair of the Internship and traineship Committeee for the Master's Degree Program in Mathematics.
Chair of the Internship Committeee of the School of Mathematical, Physical, and Natural Sciences.
Erasmus Delegate for the Master's Degree Program in Data Science, Scientific Computing, and Artificial Intelligence.
Member of the INDAM-GNCS (National Group for Scientific Computing, INdAM).
EDITORIAL AND SCIENTIFIC REFEREEING ACTIVITIES
Member of the Editorial Board of Applied and Numerical Mathematics, Elsevier, 2005-to present.
Member of the Editorial Board of Axiom, MDPI, 2021-to present.
Member of the Editorial Board of Journal of Computational Mathematics and Data Science, Elsevier, 2021-to present.
Referee for the evaluation of "Futuro in Ricerca 2010", MIUR, Italia and for International Funding Agencies.
Referee for the most important journals in optimization and Numerical analysis.
PROJECTS (PRINCIPAL INVESTIGATOR) Progetto INDAM-GNCS 2014, "Metodi di Regolarizzazione per ottimizzazione vincolata".
Progetto INDAM-GNCS 2015, "Metodi di Regolarizzazione per problemi di ottimizzazione e applicazioni".
“Second order methods for optimisation problems in machine learning”, project for the exchange of researchers within the frame of the executive programme of Scientific and Technological cooperation between the Italian Republic and the Republic of Serbia for the years 2019-2021.
Progetto INDAM-GNCS 2019, "Tecniche adattive per metodi di ottimizzazione in Machine Learning".
Progetto INDAM-GNCS 2025, "Ottimizzazione e Algebra Lineare Randomizzata".
Coordinator for the Industrial Engineering department of Univ. of Florence of the agreement of cultural and scientific cooperation between the Univ. of Florence and Univ. of Novi Sad.
Research Interests:
Numerical methods for nonlinear optimisation problems.
Preconditioning techniques for linear systems in optimisation methods for large scale problems.
Numerical solution of optimisation problems arising in machine learning.
Interior Point methods.
personal web page