Pole: Simulation, Virtuality, and Computational Sciences
Researches from this pole aim to acquire, understand, model, simulate and render our environment. To achieve these goals, we design and exploit several computational and mathematical tools. We numerically reproduce elements of the surrounding universe to realize virtual experiences or anticipate the making of artificial objects. This pole is therefore naturally pluridisciplinary and maintains strong links with several fields in biology, physics, medicine and engineering.
Skills in the pole stretch along the realistic simulation to mathematical modeling continuum. This includes all the main numerical techniques used in these fields. Along the real-virtual continuum, the following skills are present:
- Acquisition / modeling / interpretation / rendering of scenes, animation, computational biology, artificial evolution, multi-scale models, perception models, reaction / diffusion models in particle systems, augmented reality, computer graphics, artificial life.
On the methods plan, the following skills are present:
- Intensive and parallel computing, scientific computing, stochastic methods, self-centered modeling, computer vision, bio-mechanical simulation, multi-physics simulation.
Application domains and "know-how" with other disciplines
Simulation and modeling are present along all science and engineering fields. Within this pole, we deeply interact with the following domains:
- Diagnostic and treatment assistance (in cancer therapy and gerontology), special effects, digital entertainment, bio-medical simulators for training, systems biology, evolutional biology, molecular and cellular biology, prodution and validation systems, computer assisted design and conception.
Teams and staff
The 15.5 permanent researchers in the pole belong to the following teams:
- Applied computing
- Computational biology
- Life and medical sciences
- Computing methodologies
- Computer vision
- Graphics systems and interfaces
- Modeling and simulation
- Multiscale systems
- Human-centered computing