Dimitri Breda

Professore associato
Email: dimitri.breda@uniud.it
Stanza: SN3
Telefono: +39 0432 558756

Sito personale: users.dimi.uniud.it/~dimitri.breda/

Breve curriculum

Dimitri Breda received the Lurea degree summa cum laude in Mechanical Engineering from the University of Udine, Italy, in 1998 and the Ph.D. degree in Computational Mathematics from the University of Padova, Italy, in 2004. He is now Associate Professor of Numerical Analysis at the Department of Mathematics, Computer Science and Physics, University of Udine (ASN as Full Professor since 2017). He is also vice-coordinator of the local PhD program in Computer Science, Mathematics and Physics and head of the Computational Dynamics Laboratory – CDLab. His research interests are in the field of numerical and applied mathematical analysis, in particular numerical methods for the stability analysis of infinite-dimensional dynamical systems, mainly generated by delay and other functional equations, with applications ranging from population dynamics to control theory.

Attività di ricerca

The research activity of Dimitri Breda concerns developing tools for analyzing dynamical systems, mainly of infinite dimension on Banach spaces. They typically arise from functional and abstract equations modeling, e.g., population dynamics in the diverse fields of epidemiology, ecology, and biology, as well as control problems in the context of engineering and complex networks, to name just a few. The research is devoted to classical areas such as the numerical discretization of solutions, but also and mainly to more advanced and direct methods like approximation of spectra and continuation to address challenging issues about stability, bifurcation and chaotic behaviors, in view of robust analysis and parameter uncertainties. Beyond standard Matlab-like skills, a continue development towards alternative solutions is pursued, with an eye constantly kept on high performance and friendly usage, in response to the different exigencies emerging in the frequent scenario of experts in applications dealing with computationally demanding problems, but without a strong knowledge of numerical analysis or scientific computing.

Progetti di ricerca

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Attività di trasferimento dell'innovazione

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Attività di formazione

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Aree di ricerca della matematica