About
Ari Rappaport is a postdoctoral researcher at the Unité de Mathématiques Appliquées (UMA) of ENSTA Paris, part of the Propagation des Ondes, Étude Mathématique et Simulation (POEMS) laboratory. His research focuses on numerical methods for partial differential equations, particularly hybridizable discontinuous Galerkin (HDG) methods for time-harmonic wave propagation and Maxwell equations. He also works on adaptive regularization, error estimation, and high-performance computing implementations. His recent work includes contributions to iterative solvers, finite element methods, and parallel computing strategies.
Education and affiliations: Postdoctoral researcher at ENSTA Paris (since 2023?), with involvement in projects like CIEDS ElectroMath (AID/DGA). Collaborates with institutions like Inria and Université de Lille.
Research interests emphasize computational electromagnetics, numerical analysis of PDEs, and the development of robust numerical schemes for complex physical models.
Key contributions include advancements in HDG methods for Maxwell equations, adaptive error estimation frameworks, and scalable parallel implementations. His work bridges theoretical analysis with practical computational tools for engineering and scientific applications.
