ConforLux

Computational Conformal Geometry

Inria Associate Team (2025–2027)

Overview

ConforLux (Computational Conformal Geometry) is a collaborative research initiative uniting the GAMBLE project-team (Inria, France) and the research group of Jean-Marc Schlenker (University of Luxembourg).

The project operates at the frontier of theoretical mathematics and computer science, focusing on Geometric Topology and Algorithmic Geometry. The collaboration aims to leverage complementary expertise: the mathematical depth of the Luxembourg group regarding complex structures on surfaces, and the algorithmic expertise of the GAMBLE team in designing data structures and implementations for the CGAL library.

Scientific Context

This project requires expertise both in mathematics and computer sciences. The primary objects of study are:

While circle packings are well-understood on surfaces with constant curvature (Euclidean or Hyperbolic), this project aims to generalize these concepts to surfaces equipped with a Complex Projective Structure (\(\mathbb{C}P^{1}\)-structure). A \(\mathbb{C}P^{1}\)-structure allows for a well-defined notion of circles and angles, invariant under Möbius transformations.

From a computer science perspective, the goal is to design generic algorithms and data structures capable of handling these geometric objects.

Objectives & Work Program

The collaboration aims to produce theoretical results as well as practical software tools.

The Team

Inria / GAMBLE (Nancy)

  • Marc Pouget PI
    Non-linear computational geometry, CGAL
  • Vincent Despré
    Graphs on surfaces, hyperbolic geometry
  • Alba Málaga
    Dynamical systems, visualization
  • Dorian Perrot
    PhD Student
  • PhD Candidate
    Starting 2026 (Funded by LUE)

University of Luxembourg

  • Jean-Marc Schlenker PI
    Differential geometry, complex structures
  • Wayne Lam
    Postdoc (Circle packings)
  • Viola Giovannini
    PhD Student
  • Bruno Dular
    PhD Student

History & Funding

The partnership between these groups dates back to 2016 with the Antonishing Associate Team, followed by the ANR SOS project in 2018. Previous joint successes include analyzing flip algorithms for hyperbolic surfaces and computing Dirichlet domains.

Funding Support: