To consult the organisation of research at IRISA before January 2022, please click here (changes in departments D5 and D6)
The 7 departments cover the whole range of IT topics from computer and network architecture to artificial intelligence, software engineering, distributed systems and virtual reality.
Study of distributed systems in a broad sense, covering distributed operating systems, parallel execution environments, middleware and frameworks for designing and running distributed applications.
CAPSULE, CIDRE, KERDATA, MYRIADS, SPICY, WIDE: See the teams
Implementation and evaluation of communication networks, adapted to the increasing heterogeneity of terminals, applications and interaction modes.
ADOPNET, INZU, EASE, ERMINE, OCIF, SOTERN: See the teams
Development of architectures and compilation tools for multi and many core heterogeneous systems, for general purpose platforms or for embedded systems, taking into account the constraints of performance, real-time, consumption or limited resources.
GRANIT, PACAP, TARAN : See the teams
Assists in building safe, secure and effective programs that run in dynamic and uncertain environments. The methods used cover a broad spectrum: language aspects, models, analysis and proof of programs, software engineering, control.
ARCHWARE, DIVERSE, EPICURE, HYCOMES, LOGICA, SUMO, TEA: See the teams
Simulation and interaction in virtual environments, computer graphics, virtual / augmented reality, robotics, haptic control, etc.
Formerly "Signal, digital images and robotics", the signal-image part (EMPENN, OBELIX, SIROCCO) now belongs to D6.
HYBRID, MIMETIC, RAINBOW: See the teams
Signal and image processing, automatic language processing, video compression, gesture analysis, document analysis, multimedia collections, speech synthesis, remote sensing, machine learning...
Formerly "Media and Interaction", the interaction and AR/VR part (HYBRID, MIMETIC) is now part of D5.
EMPENN, EXPRESSION, INTUIDOC, LINKMEDIA, OBELIX, SIROCCO: See the teams
Data processing and more specifically the exploration of the relationships between data and knowledge. At the heart of artificial intelligence, work focuses on the storage, querying and visualization of massive or complex data, as well as the exploitation and enhancement of this data.
DRUID, DYLISS, GENSCALE, LACODAM, SHAMAN: See the teams