4 - FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function [ID:48973]
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Hello,good afternoon to all of you.

Well,maybe good evening for the colleagues in Asia and good morning for colleagues in

other countries like the US,America.

So it's for me a great pleasure and an honor to introduce today the speaker,Alfio Quateroni.

He's someone that we all know.

Actually,I would say probably Alfio is one of the main reference models of scientists,influential

scientists in our broad field of applied mathematics for the maybe the last 40 years or so.

Actually I have the chance of meeting Alfio for the first time.

I was doing my master in Paris 6 and then he came by visiting.

He was a bit more senior than I by the time.

So he was probably a junior professor.

At that time he was visiting the laboratory because he was working with Claudio Canuto

and Yvonne Made on spectral methods at that time.

Since then,maybe 35,40 years his trajectories are spectacular.

He has done so many things.

So we have seen Alfio,his books,right?

So his books that we all use at all levels,teaching,research and also to get,you know,to get trained

into new topics.

We identify Alfio also for the last 20 years at least with mocks in Milano where he is

now and also with the chair in EPFL where he has developed an amazing activity training

young people getting into new topics.

He has always been a pioneer,right?

And today he is lecturing on the simulation of the health function.

This is a topic in which he has been working maybe for the last 15 years or so.

I remember he was a plenary speaker in the International Congress of Mathematicians back

in 2006 in Madrid,right?

And by then he was already developing great new applied math in this impactful area.

And then from the Mathematics of Data Center here at FAO in Erlangen where we try to gather

a broad community of applied and mathematicians and data scientists,we thought that definitely

this lecture,this topic and especially this speaker Alfio will have been,will be one of

the best possible choices.

So Alfio could not do it in person today here,but he was kind enough to accept to deliver this

talk online.

And well,in this online age,I think this is actually a very good solution because in this

way his lecture will not only get to the colleagues here in Erlangen,but to a much broader audience

worldwide.

Anyhow,we expect to have Alfio soon in person here,maybe next Academy year.

And so Alfio,gracias.

So Alfio is a model for all of us,also a great friend.

So we are really delighted.

So Alfio,please go ahead.

Thank you very much,Erik,for this very kind words.

I'm very happy to be here.

Sorry,not being able to make it in person.

Well,this is as Erik was saying,this is a topic,is not the only topic I'm working on,but

it's certainly the most important one for me for the past 20 years or so.

So we started about 20 years ago with trying to solve the problems in what we can call

computational medicine and always with the idea of being helpful to doctors.

So starting from real problems.

And more recently,say in the past 10 years,we decided to go into the difficult task of modeling

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2023-07-06

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Date: Thu. July 6, 2023
Event: FAU MoD Lecture
Organized by: FAU MoD, Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function
Speaker: Prof. Dr. Alfio Quarteroni
Affiliation: Politecnico di Milano, Milan, Italy and Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Abstract. In this talk I will present a mathematical model that is suitable to simulate the cardiac function, thanks to its capability to describe the interaction between electrical, mechanical, and fluid-dynamical processes occurring in the heart.
 The model comprises a system of nonlinear differential equations (either ordinary and partial) featuring a multi-physics and multi-scale nature. Efficient numerical strategies are devised to allow for the analysis of both heart function and dysfunction.These strategies rely on both classical physics-based numerical discretization methods and machine-learning algorithms, as well as on their interplay.
You can find the slides of this FAU MoD lecture at:
 

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