Jean Nicolas Brunet

Ph.D. Student
photo of Jean Nicolas Brunet, Ph.D. student

Jean Nicolas Brunet

Ph.D. Student


I am a PhD student of the INRIA MIMESIS team located in Strasbourg, France. I completed my master (M.Sc.A) in computer science engineering in Montreal, Canada. So far, I focused my work on real-time simulation of linear elastic objects using meshless methods such as element-free Galerkin methods with smoothed particle hydrodynamics (SPH) and moving least squares (MLS) approximation functions involving the integration of haptic tools as interaction medium between the user and the simulated object.


In this project, the field of viscoelastic soft tissue behavior is explored in the context of real-time simulation. More specifically, I propose to apply the detection and characterization of boundary conditions associated with a patient’s specific organ 3D images directly to biomechanical virtual models based on novel techniques such as the Immersed Boundary Method (IBM) and Meshless algorithms.

My main objective is to generate an accurate and stable computational solution of a virtual non-linear anisotropic viscoelastic biomechanical model within a close to real-time time frames.

Given the small computational lapses, some linearisation and simplification of the model’s mathematical framework will be considered. The proposed heuristics will be exploiting a massively parallel processing algorithm in order to be computed on multi-core environment such as general-purpose processing on graphics processing units (GPGPU).



Meshless methods

High-performance computing