The IRIS group aims to design methods and algorithms for system identification, image and signal processing.

The current research projects are:
* System identification. This project focusses on the development of identification methods for dynamical systems. It aims at proposing new solutions for open problems in direct continuous-time model identification, closed-loop system identification, errors-in-variables model identification and non-linear system identification. The applications concern the modelling of water resources as well as the modelling in system biology (modelling of photodynamic therapy in cancer) ;
* Inverse problems and compression for multidimensional signals. This project addresses different aspects in the area of image and signal processing. It first aims to design and analyse models but also to develop algorithms to solve inverse problems for multidimensional signals involving large data. The data come from vibrational spectroscopy (IR, Raman), RMN and atomic force microscopy (AFM) for applications in environmental microbiology and chemistry. The second aspect aims to optimise the chain of image compression in terms of quality/ complexity/rate of compression, and to incorporate new features such as watermaking. The applications are lossy compression of images for general public and radiological imaging, joint compression and watermarking in the context of medical imaging but also in the context of transmission through wireless networks of sensors.

Members of the IRIS group are involved within the French research groups: GDR ISIS (A and D Themes) and GDR MACS (GT Identification) and within the IFAC and IEEE technical committees.

Besides the developed methodological and theoretical research, the group has strong multidisciplinary activities in chemistry, biology, biomedical and environment. They rely on local partnerships (CAV, DCPR, IECN, LCPME, LORIA, DCPR,) national collaborations (IRCCyN, I3S, LAII, LIRMM, LSIIT, MAP5) and international collaborations (University of Newcastle, Australia ; University of Lancaster, U.K. ; T.U. Delft, The Netherlands ; RMIT, Melbourne, Western University of Sydney).