Since 2024, I am a post-doc at the Catholic University of Louvain in Louvain-la-Neuve (Belgium), where I work on injective deformation of meshes in the context of the X-mesh project, lead by Jean-François Remacle and Nicolas Moës.
I obtained a PhD from the University of Lorraine under the supervision of Etienne Corman and Dmitry Sokolov. I defended my PhD in December 2023.
Research Interests
- Geometry Processing
- Meshing
- Mesh parametrization
- Deep learning and neural implicit representations
Contact infos
Email: guillaume.coiffier [AT] uclouvain.be
Address: Avenue Georges Lemaitre 4, 1348 Ottignies-Louvain-la-Neuve, Belgique
Office: Euler Building, 2nd floor, A221
[Since Jan. 2024] Post-doc / Research Assistant
Université Catholique de Louvain, Louvain-la-Neuve, Belgium
Meshing sharp physical interfaces in finite element simulation
Member of the X-mesh team lead by Jean-François Remacle and Nicolas Moës[Sep. 2020 - Dec. 2023] PhD Student
LORIA, University of Lorraine, Nancy, France
Global parametrization algorithmes for quadmeshing
Supervisors: Dmitry Sokolov and Etienne Corman
Thesis defended on December 6th, 2023[Jan. 2020 - June 2020] Research internship
IMT Atlantique, Brest, France
Automatic Architecture Search for Deep Neural Networks
Supervised by Vincent Gripon[Oct. 2019 - Dec. 2019] Research internship
LORIA, University of Lorraine, Nancy, France
Constrained mesh fitting on 3D point clouds
Supervised by Dmitry Sokolov and Nicolas Ray[Feb. 2020 - July 2020] Research internship
LIRIS, INSA de Lyon, Lyon, France
Deep neural network simplification using pattern mining approaches
Supervised by Marc Plantevit, Stefan Duffner and Céline Robardet[May 2018 - July 2018] Research internship
CHYN, Université de Neuchâtel, Suisse
Constrained 3D synthesis out of 2D examples using Generative Adversarial Networks
Encadré par Philippe Renard[May 2017 - June 2017] Research internship
Inria Rhône-Alpes, Grenoble, France
Congestion games and Wardrop equilibria
Supervised by Corinne Touati
[2020-2023] PhD, Global Parametrization Algorithms for Quadmeshing – LORIA, Université de Lorraine, Nancy, France – Under the supervision of Dmitry Sokolov and Etienne Corman
[2016-2020] Ms Student in Computer Science – École Normale Supérieure de Lyon, Lyon, France
[2013-2016] French “Preparatory classes”, Mathematics-Physics-Computer Science – Lycée Henri Wallon, Valenciennes, France
See the list of publications or Google Scholar
SIGGRAPH 2024 : The Method of Moving Frames for Surface Global Parametrization
SGP 2024 : 1-Lipschitz Neural Distance Fields
R-GTMG 2024 : Robust Neural Distance Fields using 1-Lipschitz Neural Networks [Slides]
🏆 Best Presentation Award
JFIG 2023 : The Method of Moving Frames for Surface Global Parametrization [Slides]
Frames 2023 : Towards grid-preserving surface parametrization in a single optimization
Frames 2021 : Computing Valid Global Seamless Parametrizations in 2D and 3D
JFIG 2020 : Ajustement de surfaces paramétriques sur nuages de points [Video]
🏆 2nd Best Paper Award
Petroleum Geostatistics 2019 : 3D Geological Image Synthesis from 2D Examples Using Generative Adversarial Networks [Abstract]
[2024-2025] Assistant Professor, École Polytechnique de Louvain
[2022-2023] Assistant Professor, École des Mines de Nancy
- Programmation and Data Structures
- Operational Research
- Algorithms and Complexity
[2020-2022] Assistant Professor, Faculty of Sciences and Technology, Nancy, France
- Algorithms and programmation in Python
- Coding Project: Video game in C
- Automata, Grammars and Languages
- Optimization, Operational Research
[2018-2021] Advisor for the boot camp Girls Can Code!, Lyon, France
Best paper award for 1-Lipschitz Neural Distance Fields, Symposium on Geometry Processing, 2024
Université de Lorraine’s 2nd price in Ma thèse en 180 secondes, a French-speaking contest of popular science.
2nd best paper for Ajustement de surfaces paramétriques sur nuages de points (Video), JFIG 2021