• Keywords: unfolding, cutting, tilling, topology, geometry, expert knowledge modelization.
• Applicative contexts: medical imaging, computer graphics, 3D printing, visual impaired people, geomatic.

During my PhD thesis thesis in 2006-2009, I focused on questions of cutting and tiling surfaces, integrating topological, geometrical and combinatorial constraints on the tiles. During these years, I designed algorithms using edge-based paths. I explored various applications, from medical imaging to computer graphics.

During my post-doc, I worked with the IMATI members on tiling/segmentation methods on surfaces, mainly using scalar functions and algorithms using piecewise-linear paths. I was also interested on working with semantic descriptors and/or expert knowledge to work on automatic labelling and/or classification.

Since September 2011, I am associate professor at ISIT. I joint first the ALCoV team, and I was focusing my work on medical imaging contexts, especially on pre-operative images like MRI, with the aim to extract surfaces from the voxel description, integrating expert knowledge, topological and geometrical constraints.

I am now of the thème DSI, Axe MAAD of LIMOS (UMR 6158), working on geometry processing, and I am working on the generation of tactile maps for visually impaired people.

• Funding: ANR
• Partners: COGIT (IGN), IRIT (Université Toulouse III) FeelObject
• Web site: activmap.limos.fr

I am the project coordinator of ACTIVmap.

• Funding: APPEL À PROJETS CNRS / INSERM « DÉFI SANTÉ NUMÉRIQUE », 15k€
• Partners: UMR INSERM 1107 (NEURO-DOL). LIMOS is working on data warehouse, and data processing

• Funding: MSH, 15k€
• Partner: a multidisciplinary project (computer science, geography, law) that addresses the issue of accessibility of the school environment. LIMOS appears on the OSM part and description of the accessibility infrastructure.
• Web site: https://compas.limos.fr/HACCEScol/

I am the project coordinator of HACCEScol.

• Funding: Bourse innovation transfert région Auvergne, 27k€
• Partner: Polymagine
• Topic: Semantic segmentation by expert guided learning of 3D meshes.

I was the project coordinator of SAM-3D.

The aim of the 3DCI project (FUI AAP14) consists in developping an original and innovative system for default detection during the inspection phase of electronic components of electronic board manufacturing.

In the 3DCI project, I was involved with ISIT laboratory to design new segmentation methods driven by expert knowledge and using abstract descriptions (such as graphs). The two application contexts are the present project and the medical imaging segmentation.

Read more on ISIT website: 3DCI

See also related projects:

• ODDS: Object Description Driven by Semantic
• Geometric texture
• A patch for Slicer

PhD students:

• Gauthier Fillières-Riveau (co-supervised by Vincent Barra and Guillaume Touya, started on November 2017

Post-doctoral fellows:

• Saleh Modaddegh: April 2013 - March 2014
• Thomas Dietenbeck: December 2013 - August 2014
• Ahlem Othmani: September 2014 - August 2014
• Fakhri Torkhani: December 2014 - November 2015
• Coralie Bernay-Angeletti: October 2016 - September 2017

Engineers:

• Arash Akbarinia: September 2013 - August 2014

See all my publications, or browse the following subpages.