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

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