Below you can find the online schedule of the meeting.
You can also download "at a glance" schedule and schedule of the light talks as pdf files.
The book of abstracts (minicourses and light talks) is available here.
Day 1
Tuesday JUNE 11
8:45 - 9:40
Registration and opening
9:40 - 10:35
PHYSICS-BASED AND DATA-DRIVEN ALGORITHMS FOR PARTIAL DIFFERENTIAL EQUATIONS, WITH APPLICATIONS - Lecture 1 of 4
A. Quarteroni
10:35 - 11:10
Coffee Break
11:10 - 12:05
PHYSICS-BASED AND DATA-DRIVEN ALGORITHMS FOR PARTIAL DIFFERENTIAL EQUATIONS, WITH APPLICATIONS - Lecture 2 of 4
A. Quarteroni
12:05 - 13:00
FROM FINITE ELEMENTS TO VIRTUAL ELEMENTS AND APPLICATIONS - Lecture 1 of 5
L. Beirão da Veiga and A. Russo
13:00 - 14:40
Lunch Break
14:40 - 15:35
OVERVIEW OF NUMERICAL METHODS IN OPTIMAL TRANSPORT - Lecture 1 of 5
L. Dieci and D. Omarov
Light Talks
15:40 - 15:50
On the stability of physics-informed data-driven models - M. Icardi
15:50 - 16:00
Integral PINNs for hyperbolic conservation laws - M. P. Rajvanshi
16:00 - 16:10
Classical and Modern Computational Methods: Numerical Approximations and Physics-Informed Neural Networks - V. Schiano di Cola
16:10 - 16:20
An architecture based on Physics-Informed Neural Networks for Cultural Heritage Maintenance - C. Valentino
16:20 - 16:30
Deep Learning for parameter estimation in a morpho-chemical PDE model for batteries - M. G. Quarta
16:30 - 16:40
Beware of machine learning bearing gifts for the solution of Inverse and Forward Problems for Multiscale and Complex Dynamical Systems - C. Siettos
16:40 - 16:50
Pattern formation in a chemotactic model: a data-driven approach - A. Monti
16:50 - 17:00
Teaching Dynamical Systems through Movement - M. Manetta
Day 2
Wednesday JUNE 12
8:45 - 9:40
OVERVIEW OF NUMERICAL METHODS IN OPTIMAL TRANSPORT - Lecture 2 of 5
L. Dieci and D. Omarov
9:40 - 10:35
PHYSICS-BASED AND DATA-DRIVEN ALGORITHMS FOR PARTIAL DIFFERENTIAL EQUATIONS, WITH APPLICATIONS - Lecture 3 of 4
A. Quarteroni
10:35 - 11:10
Coffe Break
11:10 - 12:05
FROM FINITE ELEMENTS TO VIRTUAL ELEMENTS AND APPLICATIONS - Lecture 2 of 5
L. Beirão da Veiga and A. Russo
12:05 - 13:00
STOCHASTIC OPTIMIZATION FOR MACHINE LEARNING - Lecture 1 of 5
S. Bellavia and M. Yousefi
13:00 - 14:40
Lunch Break
14:40 - 15:35
OVERVIEW OF NUMERICAL METHODS IN OPTIMAL TRANSPORT - Lecture 3 of 5
L. Dieci and D. Omarov
15:40 - 16:35
STOCHASTIC OPTIMIZATION FOR MACHINE LEARNING - Lecture 2 of 5
S. Bellavia and M. Yousefi
Light Talks
16:40 - 16:50
The Virtual Element Method for the Helmhotz Equation: An Application to Coastal Engineering - M. Dauphin
16:50 - 17:00
Virtual Element Methods for the Obstacle Problem - L. Molinari
Day 3
THURsday JUNE 13
8:45 - 9:40
FROM FINITE ELEMENTS TO VIRTUAL ELEMENTS AND APPLICATIONS - Lecture 3 of 5
L. Beirão da Veiga and A. Russo
9:40 - 10:35
STOCHASTIC OPTIMIZATION FOR MACHINE LEARNING - Lecture 3 of 5
S. Bellavia and M. Yousefi
10:35 - 11:10
Coffe Break
11:10 - 12:05
PHYSICS-BASED AND DATA-DRIVEN ALGORITHMS FOR PARTIAL DIFFERENTIAL EQUATIONS, WITH APPLICATIONS - Lecture 4 of 4
A. Quarteroni
12:05 - 13:00
OVERVIEW OF NUMERICAL METHODS IN OPTIMAL TRANSPORT - Lecture 4 of 5
L. Dieci and D. Omarov
13:00 - 14:40
Lunch Break
14:40 - 15:35
STOCHASTIC OPTIMIZATION FOR MACHINE LEARNING - Lecture 4 of 5
S. Bellavia and M. Yousefi
Light Talks
15:40 - 15:50
Virtual Element Method for Nonlocal Peridynamic Diffusion Problems - S. Pellegrino
15:50 - 16:00
The Lightning Virtual Element Method - M. Trezzi
16:00 - 16:10
Digital Twin based on IoT and Ontology for remote physiotherapy - G. Spaletta
16:10 - 16:20
A Fluid Structure Interaction Model for Optimal Design of Bioartificial Organ Scaffold Architectures - Y. Wang
16:20 - 16:30
Optimal control and game theory approaches for managing invasive alien species - A. Martiradonna
16:30 - 16:40
Multi-objective optimization to support decision-making in policy interventions - L. Selicato
16:40 - 16:50
Low rank based optimization of eigenvalues in nuclear systems - C. Scalone
16:50 - 17:00
Time Dependent Reduced Order Modeling for Particle Filtering - E. Van Vleck
20:00 - 22:30
Social dinner
Day 4
Friday JUNE 14
8:45 - 9:40
STOCHASTIC OPTIMIZATION FOR MACHINE LEARNING - Lecture 5 of 5
S. Bellavia and M. Yousefi
9:40 - 10:35
OVERVIEW OF NUMERICAL METHODS IN OPTIMAL TRANSPORT - Lecture 5 of 5
L. Dieci and D. Omarov
10:35 - 11:10
Coffe Break
11:10 - 12:05
FROM FINITE ELEMENTS TO VIRTUAL ELEMENTS AND APPLICATIONS - Lecture 4 of 5
L. Beirão da Veiga and A. Russo
12:05 - 13:00
FROM FINITE ELEMENTS TO VIRTUAL ELEMENTS AND APPLICATIONS - Lecture 5 of 5
L. Beirão da Veiga and A. Russo