*Colloqui della Classe di Scienze *
Anno Accademico 2018/2019
Mercoledì 30 ottobre 2019 ore 15:00
*Scuola Normale Superiore* Sala Azzurra Palazzo della Carovana Alfio Quarteroni
*Politecnico di Milano, Italia, and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland (professor emeritus)*
Terrà un seminario dal titolo:
*“**Taking Mathematics to Heart”*
*Abstract:*
In this presentation I will highlight the interplay between data science and computational science to efficiently solve real life large scale problems . The leading application that I will address is the numerical simulation of the heart function. The motivation behind this interest is that cardiovascular diseases unfortunately represent one of the leading causes of death in Western Countries. Mathematical models based on first principles allow the description of the blood motion in the human circulatory system, as well as the interaction between electrical, mechanical and fluid-dynamical processes occurring in the heart. This is a classical environment where multi-physics processes have to be addressed. Appropriate numerical strategies can be devised to allow an effective description of the fluid in large and medium size arteries, the analysis of physiological and pathological conditions, and the simulation, control and shape optimization of assisted devices or surgical prostheses. This presentation will address some of these issues and a few representative applications of clinical interest.
Acknowledgment: The work presented in this talk is part of the project iHEART that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 740132)
* Classe di Scienze*
Valeria Giuliani Scuola Normale Superiore Servizio alla Didattica e Allievi tel. 050 509260 Piazza dei Cavalieri, 7 56126 Pisa E-mail: valeria.giuliani@sns.it E-mail: classi@sns.it
Valeria Giuliani Scuola Normale Superiore Servizio alla Didattica e Allievi tel. 050 509260 Piazza dei Cavalieri, 7 56126 Pisa E-mail: valeria.giuliani@sns.it E-mail: classi@sns.it
---------- Forwarded message --------- Da: Valeria Giuliani valeria.giuliani@sns.it Date: gio 17 ott 2019 alle ore 09:31 Subject: avviso Colloqui della Classe di Scienze, prof. Alfio Quarteroni (30.10.2019) To: professori.sci@sns.it, professori.contratto.sci < professori.contratto.sci@sns.it>, ricercatori.sci ricercatori.sci@sns.it, ricercatori.td.sci@sns.it, assegnisti.sci assegnisti.sci@sns.it, Perfezionandi Scienze phd.sci@sns.it, phd.extra.sci phd.extra.sci@sns.it, Studenti Scienze allievi.sci@sns.it, allievi.extra.sci < allievi.extra.sci@sns.it>, Esterni Scienze in Convenzione < esterni_sci_inconvenzione@sns.it>, visiting.student <visiting.student@sns.it
Cc: Classi classi@sns.it, Sito SNS sitosns@sns.it, Portineria Carovana < portineria.carovana@sns.it>
*Colloqui della Classe di Scienze *
Anno Accademico 2018/2019
Mercoledì 30 ottobre 2019 ore 15:00
*Scuola Normale Superiore* Sala Azzurra Palazzo della Carovana Alfio Quarteroni
*Politecnico di Milano, Italia, and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland (professor emeritus)*
Terrà un seminario dal titolo:
*“**Taking Mathematics to Heart”*
*Abstract:*
In this presentation I will highlight the interplay between data science and computational science to efficiently solve real life large scale problems . The leading application that I will address is the numerical simulation of the heart function. The motivation behind this interest is that cardiovascular diseases unfortunately represent one of the leading causes of death in Western Countries. Mathematical models based on first principles allow the description of the blood motion in the human circulatory system, as well as the interaction between electrical, mechanical and fluid-dynamical processes occurring in the heart. This is a classical environment where multi-physics processes have to be addressed. Appropriate numerical strategies can be devised to allow an effective description of the fluid in large and medium size arteries, the analysis of physiological and pathological conditions, and the simulation, control and shape optimization of assisted devices or surgical prostheses. This presentation will address some of these issues and a few representative applications of clinical interest.
Acknowledgment: The work presented in this talk is part of the project iHEART that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 740132)
* Classe di Scienze*
Valeria Giuliani Scuola Normale Superiore Servizio alla Didattica e Allievi tel. 050 509260 Piazza dei Cavalieri, 7 56126 Pisa E-mail: valeria.giuliani@sns.it E-mail: classi@sns.it