Top-level heading

Data-driven multi-scale modeling of cancer

In this talk I will present how proteomic, nuclear medicine and imaging data can be used to model the patho-physiology of cancer at different scales, from single cell, through tissues to organs. The m...

Unconstrained optimization methods based on probabilistic models for supervised machine learning

Stochastic optimization algorithms are widely employed for problems arising in machine learning but significant issues in their use are open. In fact, tuning these algorithms for each application may ...

Semi-Lagrangian schemes for parabolic equations: second order accuracy and boundary conditions

Parabolic partial differential equations are used to describe a wide variety of time-dependent phenomena, arising in a number of important physical problems. The aim of this talk is to present some se...

A semi-Lagrangian/Lagrange-Galerkin method for mean field games problems

This talk is devoted to the numerical approximation of mean field games problems. We consider two cases: a first order problem, i.e the diffusion is null, and a second order problem. For the first one...

Multi-lane vehicular flow models: the effects of lane changes on the traffic stability

This talk is devoted to the modeling and the stability of multi-lane traffic flow in the microscopic and macroscopic frameworks. First we present the study of a second order microscopic Follow-the-Lea...

A filtering monotonization technique for DG discretizations of hyperbolic problems

In this talk, I will introduce a filtering technique for Discontinuous Galerkin approximations of hyperbolic problems. After a brief overview of classical monotonization techniques, I will present an ...

Predictive control for non-linear collective dynamics and their mean-field limit

In this talk I will present the synthesis of control laws for interacting agent-based dynamics and their mean-field limit. In particular, a linearization-based approach is used for the computation of ...

Quinpi, or going implicit for nonlinear hyperbolic equations

Many interesting applications of hyperbolic systems of equations are stiff, in the sense that restrictive CFL conditions are imposed by fields that one is not really interested in tracking accurately....

Feedback control for hyperbolic balance laws

Physical systems such as gas networks are usually operated in a state of equilibrium and one is interested in stable systems, where small perturbations are damped over time. This talk is devoted to th...

A Data-Driven Tensor Train Gradient Cross approximation for Hamilton-Jacobi-Bellman equations

Hamilton-Jacobi-Bellman (HJB) equation plays a central role in optimal control and differential games, enabling the computation of robust controls in feedback form. The main disadvantage for this appr...

A deeper look at shallow waters

Geophysical fluid dynamics consider domains with horizontal length scales much larger than the vertical ones. In this regime, simplified mathematical models based on the hydrostatic approximation can ...

Differential Calculus For Transport Problems

We are interested in the development of a numerical method for solving optimal control problems governed by hyperbolic systems of conservation laws. The main difficulty of computing the derivative in ...