Chair Risk and Resilience of Complex Systems (RRCS) |
About the Chair
The Risk and Resilience of Complex Systems (RRSC) Chair is a multi-sponsor academic chair. Its founding partners include Électricité de France (EDF) and the Institut de France – Académie des Sciences, with Orange and the Société nationale des chemins de fer français (SNCF) also participating during the 2019–2024 term. For the 2024–2029 period, the partnership has expanded to include Natran (GRTgaz) and Réseau de transport d'électricité (RTE).
The RRSC Chair team currently comprises three full-time permanent faculty members: Professor Anne Barros, Professor Yiping Fang, and Professor Zhiguo Zeng

Objectives and Research Scope
The mission of the Chair is to enable CentraleSupélec to develop generic, public-domain models. Since 2019, the primary research themes have focused on modeling and optimizing resilience in complex systems.
The research addresses critical infrastructures and their inherent interdependencies. Our work encompasses various facets of risk analysis and resilience optimization, including:
- Failure propagation
- Service restoration and post-failure reconfiguration
- Adaptation to fluctuating performance requirements
- Maintenance planning and preventative measures
The Chair aims to address every phase of the resilience process: prevention, degradation and crisis management, restoration, recovery, and learning. The performance metrics under evaluation may include quality of service (QoS), service continuity, latency, and availability.
Our objective is to demonstrate how mathematical modeling, simulation, optimization, and data analysis can facilitate decision-making under uncertainty at each phase, from design through operations. The selection of specific problems and the strategic direction of the research are conducted in close collaboration with our sponsors.
Scientific Pillars
The Chair’s scientific project is structured around two primary methodological pillars and one transverse axis dedicated to broader impacts:
- Axis 1: System modeling for risk, resilience, and reliability
- Axis 2: Decision support under uncertainty
- Axis 3: Societal and environmental challenges
Chair members
Anne Barros
Full Professor, Chair holder
Research: stochastic model, prognostic, condition-based and predictive maintenance, reliability analysis
Yiping Fang
Full Professor
Research: risk and resilience, mathematical optimization, cyber-physical systems, reinforcement learning
Zhiguo Zeng
Full Professor
Research: reliability engineering, stochastic model, uncertainty quantification, risk analysis


