Created in 1980, the CRAN is a joint research unit (UMR 7039) shared by the University of Lorraine and the CNRS (Institute of Computer Sciences - formerly INS2I).

The laboratory has nearly 250 members: as of January 1, 2024, there are 120 researchers or teacher-researchers (including 8 CNRS researchers section 7 of the CoNRS), researchers from the Lorraine Cancer Institute (ICL, Center for the Fight against cancer), from the Regional University Hospital Center (CHRU) of Nancy or from external organizations, 5 distinguished researchers. The administrative service and the research support service total 27 staff. CRAN welcomes nearly a hundred doctoral students, post-doctoral students and visiting researchers. In 2023, scientific production included nearly 300 articles or communications in national or international journals and conferences. CRAN's work is based on around twenty pieces of equipment (prototypes, demonstrators, platforms, some open and labeled) and develops software and decision-making tools. The research carried out at CRAN concerns the disciplines of automation, signal and image processing, computer engineering, manufacturing, biology and neurology linked to oncology and neuroscience. The research is upstream, finalized, transfer, valorization, translational, clinical.

The laboratory is organized into 3 scientific departments.

The departments


 

Collaborations

 

Key words

Radiotherapy Modeling Industry 40 Stability analysis Wireless sensor networks Epilepsy Fault detection Fault estimation Instrumental variable Availability Networked control systems Bilinear systems Robustesse Singular systems Neural networks Systèmes non linéaires Event-triggered control Optimization Neural network Flatness Nonlinear system Linear matrix inequality Energy efficiency Diagnosis Prognostic Observer design Observers Glioblastoma Model-free control Cancer Estimation d'état Interoperability Thérapie photodynamique Fluorescence Safety Observer-based control LMIs Consensus Robustness Classification Modelling Ontology Identification System identification Multi-component system Synchronization Stabilization Security Estimation Machine learning Maintenance Multiple model Diagnostic Observer Optimisation Internet of Things Stability Multi-agent systems Fault-tolerant control Lyapunov stability LPV systems Uncertain systems Time series Linear matrix inequalities Nonlinear observer Fiabilité Observability Dependability MTHPC Fault diagnosis State estimation Monte Carlo simulation Switched systems Reconfiguration Systems Engineering Nonlinear systems Simulation Descriptor systems Hybrid systems Unknown inputs Optimal control Prognostics Linear systems Parameter estimation EEG LMI Sûreté de fonctionnement Modélisation Fault detection and isolation Breast cancer Uncertainty Graph theory Systèmes linéaires Fault tolerant control Détection de défaut ingénierie Data reconciliation Reliability Lyapunov methods Robust control Photodynamic therapy