So good morning to all of you.

Thank you for coming.

This is really a very beautiful lecture hall and the weather is actually relatively nice.

I think it's almost as blue as it can be December in Erlangen.

So it's a great opportunity to have today two speakers.

Today both of them

Denisa Martinova and Giovanni Fantucci

they are members of our Maud Center

that gathers also a group of junior professors of our university.

The first lecture will be delivered by Giovanni.

Giovanni came to our group a couple of years ago, no?

Two, three?

One, two, three, and a bit.

Yeah, okay.

So three years ago.

So he came as a W1

as you know in the international terminology this will be something like an

assistant professor, right?

He has been doing a great work in different areas.

Before he got a PhD in Imperial College

he was also a postdoc in Oxford.

His PhD in Imperial College was in the Department of Aeronautics

so he has a very interesting

multidisciplinary profile

mastering different aspects of applied math and data science.

And today he is lecturing on Lyapunov meets Kubman

a new approach to data-driven analysis

of nonlinear dynamics

which is

as you know

extremely...

Thanks, thanks Enrique for the introduction.

Thanks for having me.

Just for the record

I was in Oxford as a doctoral research assistant

not as a postdoc

but I was there for six months nevertheless.

So after writing the abstract and the title and looking at how much time I had

I realized

that maybe I promised a little bit too much, so I'll try to give you a glimpse of this

new approach that I'm talking about, but then I will focus on a particular problem that

you could study with this particular approach.

But first things first

who are these two guys that I'm mentioning in the title?

There's Lyapunov and there's Kubman.

Hopefully you've heard of both of them.

They're two guys that lived a century or more ago

but we still talk about them today.

Lyapunov

the guy on the left