Discover the Inria Bordeaux - Sud-Ouest research centre

1. Bordeaux _ Sud-Ouest Research Centre

2. 173project teams
1 300 doctorants
120start-ups created
229,5 M€
2015 initial budget
2 700
members of taff
4500 scientific publications
1 200 PhD students
different
nationalities87
Science and people at Inria
Inria, the French National Institute for computer science and applied
mathematics, promotes “scientific excellence for technology transfer
and society”.
Inria’s 2,700 employees, graduates from the world’s top universities, rise to
the challenges of digital sciences. Research at Inria is organised in “project
teams” which bring together researchers with complementary skills to focus
onspecificscientificprojects.Withthisopen,agilemodel,Inriaisabletoexplore
original approaches with its partners in industry and academia and provide an
efficient response to the multidisciplinary and application challenges of the
digitaltransformation.Inria,thesourceofmanyinnovationsthataddvalueand
create jobs, transfers expertise and research results to companies (start-ups,
SMEs and major groups) in fields as diverse as healthcare, transport, energy,
communications, security and privacy protection, smart cities and the factory
of the future.

3. Inria in the greater south-west region
The Inria Bordeaux – Sud-Ouest Research Centre was created in 2008. It
is established on the university campuses of Bordeaux and Pau. Toge-
ther with its academic and industrial partners, it carries out research
activity in the digital sciences and technologies (computer sciences,
mathematics).
The Centre’s teams focus their research on four areas:
• Modeling, High-Performance Computing and Parallel Architectures
• Uncertainty management and optimization
• Modeling and simulation for health and biology
• Human and computing: interaction and visualization
Our research teams help to solve fundamental questions posed by computer
science and mathematical modeling, the programming of complex distributed
systems and the interactions between different actors - both human and artificial.
Beyond high-profile scientific advances, which are recognised at the highest inter-
national level, the Inria Bordeaux-Sud-Ouest teams play a role in the innovations
which, tomorrow, will be at the heart of everyone’s daily lives.
By way of example: secure programming of machines regrouping thousands of
computing cores, design of applications and software for petroleum engineering,
3D or 4D vizualisation and manipulation of complex objects, design and program-
ming of robots, forecasting the evolution of diseases and taking part in advances
in the field of bioinformatics...
«Our teams - which are recognized and involved at the highest
international level - are producing high-profile scientific results and
quality applications...Inria Bordeaux-Sud-Ouest wants to help make
the Aquitaine region a highly visible scientific cluster in the field of
digital sciences.»
Monique Thonnat, director of the Inria Bordeaux _ Sud-Ouest Research Centre

4. Links with prominent partners
The Centre’s scientific development strategy seeks to further the emer-
gence of new, ambitious subjects. These are organized in partnership
with academics local or international actors at the cutting edge of other
disciplines, in order to maximize the impact of the research being car-
ried out.
> EPSTs (French public scientific and technical Establishement)
CNRS, INRA, INSERM
> Universities
University of Bordeaux, University of Pau and the Adour region
> Schools
Bordeaux INP, Ensta Paris-Tech, Institut d’Optique Graduate School
> Laboratories
IMB (UMR 5251), IMN (UMR 5293), LaBRI (UMR 5800), LMAP (UMR 5142), LP2N
(UMR 5298)
> Institutes
Institut Bergonié (U916), ISPED (U897), LYRIC IHU (university hospital institute)
> Hospital
CHU - Hôpitaux de Bordeaux (Bordeaux university hospital)
> Themed research groups
Bordeaux Neurocampus, Labex BRAIN and CPU (Idex University of Bordeaux
excellence cluster)
> International bilateral cooperation (associate teams)
Stanford University, University of Colorado Boulder, Universidade de São Paulo,
Université Tunis El-Manar, University Mohammed V Agdal Maroc, University of
Colorado Denver, Columbia University New York, Indian Institute of Technology
Roorkee

5. Furthering innovation partnerships
and projects
A major part of the research that we carry out at the Centre aims to
meet to the technological requirements of businesses.Thanks to the
support of the Aquitaine region, we maintain an ongoing dialogue with
the socio-economic actors of the greater south-west region.
To date, the Centre has formed in excess of ten partnerships with SMEs and
major industrial groups. In addition, the Centre has a close relationship with the
French Alternative Energies and Atomic Commission in CESTA site within the
framework of research projects carried out on the Megajoule Laser, the most
powerful in the world.
The Centre is also forging close links with a network of regional partners, including
competitiveness clusters, innovation agencies and themed associations.

6. Modeling,
High-Performance Computing
and Parallel Architectures
The distinctive feature of this field is without doubt the
continuumthatexistsbetweentheworkthatiscarriedout-which
goes from applied mathematics to computer science research for
data-intensive computing. In practical terms, the teams design
and develop original modeling and simulation or high-perfor-
mance computing methods, and produce software that can meet
industrial requirements.
8
8
7
4 2
7
7
4
9
< <
<
6

7. t e a m
COMPUTATIONAL AGILITY FOR INTERNAL
FLOW SIMULATION -COMPARISON WITH EXPERIMENT
This project aims at developing appropriate tools for studying the turbulent
flows that are encountered in internal aerodynamic such in jet engine combustion
chambers or in the cooling loop of a power station. The originality of this project
stems from the simultaneous and in-situ strong coupling between experiment,
physical modeling and simulation.
Fluid Dynamics • Direct Numerical Simulation • Finite Elements • Turbulence
Modeling • Experiments • Internal Aerodynamic • Numerical Methods • Parallel
Solvers • High performance computing
MAVERIC: Test bench for the study of turbulent flows with mass transfer at the wall

8. t e a m
CERTIFIED ADAPTIVE DISCRETE MODELS FOR
ROBUST SIMULATIONS OF COMPLEX FLOWS
WITH MOVING FRONTS
From partial differential equations to certified computational models, this team
aims at providing a new methodology to develop and certify adaptive numerical
models for compressible and incompressible flows with moving fronts.
Numerical Methods • Mesh Adaptation • Uncertainty Quantification
Fluid Mechanics • High Performance Computing
Simulation of Tsunami Runup onto a ComplexThree-dimensional Beach

9. t e a m
HIGH-END PARALLEL ALGORITHMS FOR CHALLENGING
NUMERICAL SIMULATIONS
The goal is to contribute to the design and the implementation of numerical
methods and associated algorithmic tools to solve complex large scale scienti-
fic problems on future extreme scale machines. This requires real scalability to
efficiently use a huge number of possibly heterogeneous computing cores.
High-End Computing for Frontier Simulations • Algorithmics • Linear Algebra
Fast Multipole Method • Code Coupling • Materials Physics
Modeling, simulation and high performance computing

10. t e a m
LITHE AND FAST ALGORITHMIC NUMBER THEORY
Algorithmic number theory, dating back to the dawn of mathematics, is being
boosted by the arrival of more and more powerful computers. The team covers all
its aspects, from complexity theory over optimized implementations up to cryp-
tologic applications.
Algorithmic number theory • Number fields • Function fields • Algebraic curves
Cryptology
Researchers of Lfant research team

11. t e a m
ADVANCED 3D NUMERICAL MODELING IN GEOPHYSICS
The team was created to apply recent advances in three-dimensional scien-
tific computing to various areas in geophysics, and particular seismic wave
propagation. First, advanced models must be developed in order to take the
complexity of underlying physical phenomena into account. Second, these
models can be applied to realistic cases that require the solution of large
systems, which in turn implies that numerical methods must to be optimized.
Waves • Numerical Methods • Inverse Problem • Geophysics
High Performance Computing • Finite Elements • Multiscale Models
Simulation of seismic wave propagation underground

12. t e a m
MODELING ENABLERS FOR MULTI-PHYSICS
AND INTERACTIONS
The project aims at a new leap in numerical modeling in order to answer current
industrial needs. The goal is to implement these new models in efficient codes
on HPC infrastructures and to make them available to respond to societal needs.
We do this by developing two fundamental catalyzers: reduced-order models
and Cartesian grid methods. Thanks to these catalyzers it will be possible to
transfer complexity handling from engineers to computers, providing fast, on-line
numerical models for design and control.
Numerical modeling • Scientific Computation
Fluid Dynamics • Fluid-structure Interaction
Numerical model of an inertial system for conversion of wave
energy: air-water-floating body interaction with feedback to
the inertial system

13. t e a m
STATIC OPTIMIZATIONS, RUNTIME METHODS
The increase of parallelism and of heterogeneity presents many challenges in
terms of parallel programming, code optimization and runtime systems. Among
these challenges, some are particularly difficult to solve with only static methods
(at compile time) or dynamic methods (at runtime). These topics are at the heart
of the team’s work. This includes issues in terms of programmer productivity, sca-
lability and efficiency of parallel codes.
Parallel programming languages • Compilers and runtimes • Heterogeneous
programming • High Performance Computing • Adaptability • Scalability
Researcher from Storm team

14. t e a m
TOPOLOGY AWARE SYSTEM SCALE DATA MANAGEMENT
FOR HIGH PERFORMANCE COMPUTING
The goal of the project is to design and build a stateful system-wide optimization
service layer for HPC systems.
The challenge is to gather the needs of the applications (memory, computing,
storage, network) in order to optimize the execution of all the running applications
in a coordinated fashion and at system scale.
High Performance Computing • Scalability • Topology • Data • Locality • Systems
scale • Data Management Mesh
Communication matrix for high performance computing placement

15. Uncertainty management
and optimization
The development of stochastic and deterministic methods for
the modeling, optimization and management of uncertainty
is at the heart of scientific activity in this area of research.
Applicative requirements cover a wide variety of fields: analysis
of cardiac signals, path control, scheduling of jobs, satellite
imaging, reliability of industrial systems, analysis of rare events...
The teams provide novel solutions in order to understand, predict
and manage such systems as part of industrial or academic par-
tnerships.
8
8
7
4 2
7
7
9
< <
<
6

16. t e a m
QUALITY CONTROL AND DYNAMIC RELIABILITY
The core component of our scientific agenda focuses on the development of
statistical and probabilistic methods for the modeling, evaluation and the
optimization of complex systems.
Markov chain • Piecewise Deterministic Markov Processes • Markov Decision
Processes • Network • Queeing system • Dimension Reduction Models • Stochastic
control • Semi parametric and non parametric modeling • Multivariate data analysis
Optimal control of a submarine

17. t e a m
GEOMETRY AND STATISTICS IN ACQUISITION DATA
The team develops methods to study complex signals with multiscale properties,
such as heartbeat signals, satellite and space observation data, speech. Derived
from the study of disordered systems in Statistical Physics, these methods open
novel approaches in the analysis of complexity in natural signals.
Signal processing • Non-linear methods • Comple systems • Turbulence
Multiscale methods • Complexity • Scale invariance • Complex signals
Speech processing • Adaptative optics
Complex signals studies : ocean movements and heart

18. t e a m
REFORMULATIONS BASED ALGORITHMS
FOR COMBINATORIAL OPTIMIZATION
Our team develops efficient solvers for complex combinatorial optimization
problems by virtue of tight formulations. We are specialized in extended formula-
tion and decomposition approaches in mathematical optimization. Through indus-
trial partnerships, the team targets large scale problems such as those arising
in logistics (routing problems), in planning and scheduling, in network design and
control, and in placement problems (cutting stock problems).
Operations research • Combinatorial optimization • Graph • Decomposition
Branch-and-price • Branch-and-cut • Primal heuristics
Researchers from Realopt team

19. Modeling and simulation
for health and biology
The teams involved in this area carry out research in applied
mathematics or computer science for biological or medical
modeling. Thanks to solid partnerships with other research
actors from clinics and education, we are already witnessing
major results in a variety of subjects, such as the understanding
of neurodegenerative diseases, epidemiology, cardiac electro-
physiology and oncology.
8
8
7
4 2
7
7
9
< <
<
6

20. t e a m
MODELING AND NUMERICAL METHODS
FOR CARDIAC ELECTROPHYSIOLOGY
The team develops innovative models and numerical methods to simulate the
propagation of the cardiac action potential, from the scale of the cell to the scale
of the body. It aims at improving the knowledge and the treatment of electrical
cardiac pathologies as well as the exploitation of all available electrical signals.
Multiscale Models • Numerical Methods • Inverse Problems • Scientific Computation
High Performance Computing • Biomedical Engineering
Researchers of the CARMEN research team

21. t e a m
SYSTEMIC APPROACH TO BRAIN MODELING
At the frontier between integrative and computational neuroscience, the project-
team proposes to model the brain as a system of active memories, in synergy and
in interaction with the internal and external world, and to simulate it both as a
whole and in situation.
Computational neuroscience • Machine learning • Autonomous robotics
Decision making • Memory • Adaptative systems
Researchers of MNEMOSYNE research team

22. t e a m
MODELING IN ONCOLOGY
Thepurposeofthisteamistodevelopnumericalmodelsbasedondatainoncology
in order to provide decision support to clinicians and biologists. The problem of
modeling of tumor growth from data is addressed in three ways: custom models
derived from medical images in clinical applications; biophysical modeling for
therapies; and finally models for pre-clinical studies.
Scientific Computation • Modeling • Multiscale Models • Computational Biology
Oncology modeling

23. t e a m
PATTERNS OF DIVERSITY
AND NETWORKS OF FUNCTION
The study of biology associates pattern recognition of diversity with modeling of
functional and evolutionary processes. Pleiade addresses the double challenge
of measuring dissimilarity between biological objects quickly and precisely, and
exploring the relations between diversity in traits and diversity in function at
multiple scales. We develop algorithms, models, and software frameworks for
applications in ecology, evolution, and biotechnology.
Pattern recognition • Modeling • E-Science • NGS • Biodiversity • Biotechnology
Researchers of the Pleiade team

24. t e a m
STATISTICS IN SYSTEMS BIOLOGY
AND TRANSLATIONAL MEDICINE
The team is devoted to the development of statistical methods for the integrative
analysis of data in medicine and biology. Thanks to technological improvements,
clinical and biological research is generating massive amounts of data.
The challenge is to analyze these big data to answer clinical and biological
questions in immunology by using appropriate statistical methods.
Statistics • Systems Biology • Stochastic Modeling • Statistical Learning
Epidemiology • Big Data • Immunology • Infectious diseases
Transmission of HIV-1 from cell to cell

25. Human and computing :
interaction and visualization
The distinctive feature of this area is the consideration of hu-
mans and their interactions with digital technology. From re-
search on image synthesis to human-machine interaction, the
teams are working - among other things - on robotics, hybrid
optical and digital instrumentation and intelligent interfaces to
help people. These subjects meet a strong societal demand and
research findings notably come to life through start-ups or in
partnership with SMEs.
8
8
7
4 2
7
7
9
< <
<
6

26. t e a m
FLOWING EPIGENETIC ROBOTS AND SYSTEMS
The project studies mechanisms that can allow robots and humans to acquire,
autonomously and cumulatively, repertoires of novel skills over extended periods
of time. This includes mechanisms for learning by self-exploration, as well as
learning through interaction with peers, for the acquisition of both sensorimotor
and social skills. The project also studies how these models and technologies can
be used in new educational tools.
Developmental and social robotics • Situated and embodied cognition • Exploration
Learning • Intrinsic motivation • Natural human-robot interaction • Education
Learning to walk by Poppy, bio-inspired humanoid robot

27. t e a m
MELTING THE FRONTIERS BETWEEN LIGHT,
SHAPE AND MATTER
The project studies the interactions between light, form and matter, in order
to achieve new representations of appearance. It also takes in consideration
exchanges from the real world to the virtual world (acquisition) and from the
digital world to the end viewer (restitution). Representations, algorithms and
systems combining optics and computer science will allow direct control of
appearance. Through effective communication between the real world and the 3D
digital world, new uses (scientific, artistic, industrial) will emerge.
Computer Graphics • 3d Modeling • Geometry Modeling • Rendering
Augmented Reality • Virtual Reality
3D reconstruction of the statue of a giant from beacon of Alexandria

28. t e a m
PROGRAMMING LANGUAGE TECHNOLOGY
FOR COMMUNICATION SERVICES
More and more, communicating objects equip our living spaces and render them
digital. The scientific challenges consist in designing languages and tools that
assist the development of these spaces by ensuring reliability and security. The
project has developed applications especially for cognitive support for people
undergoing loss of autonomy.
Programming languages • Object oriented programming • Verification
Software engineering • Pervasive computing • Assistive technology
Human-computer interaction • Cognitive science
An experimental apartment and an assisted living platform

29. t e a m
POPULAR INTERACTION
The overall goal of Potioc is to explore new approaches that foster rich interaction
with the digital world through appealing and motivating interfaces. The ultimate
goal is to stimulate creation, learning, or entertainment. To this end, we focus on
the design, development, and evaluation of new methods for 3D interaction by
non specialists.
Human-Computer Interaction • 3D User interfaces • Virtual Reality • Augmented
Reality • Tangible interaction • Brain-computer interfaces • Physiological computing
Cognitive sciences
Collaborative visualization of mental states using spatial augmented reality and tangible interaction

30. t e a m
MODELS FOR FUNCTIONAL PROGRAMMING
OF SPACE AND TIME
The interaction between art, science and technology is a constant in the
history of mankind. The development of digital technologies has catalyzed that
interaction. The project aims to develop concepts, methods and practices that
simplify the synchronization, coordination and orchestration of real-time analysis
and synthesis tools dedicated to the design of complex interactive multimedia
environments.
Computational music • Algebraic modeling • Functional programming
Geometric representation of polyrhythmic sequences