معرفی
Dr. Yi-Ping Fang serves as an Assistant Professor at the EDF Chair SSEC with a joint appointment at the Industrial Engineering Laboratory, CentraleSupélec, Université Paris-Saclay, France. His research focuses on developing computational methodologies for risk, vulnerability, and resilience analysis of critical infrastructure systems including smart grids, electrified transportation networks, and interdependent lifeline systems.
His core research interests encompass:
- Risk Analysis
- Resilience Engineering
- Reliability Engineering
- Optimization under Uncertainty
- Decision Making under Uncertainty
- Critical Infrastructure Systems
- Smart Grids
- Interdependent Systems
Dr. Fang's recent publications reveal a concentrated research trajectory applying distributionally robust optimization, stochastic programming, and game theory to infrastructure resilience challenges. His work demonstrates particular expertise in microgrid hardening, distribution network restoration, and maintenance optimization under uncertainty, with significant contributions to modeling supply-demand fluctuations, random contingencies, and climate change impacts. Key application domains include energy systems (microgrids, wind farms), transportation networks (electric vehicle integration), and communication infrastructures.
Scientific Awards:
- No scientific awards documented in the provided materials
Dr. Fang actively advises students in risk/resilience analysis and optimization methodologies, though specific advisee names are not listed. His research program involves substantial collaboration with industry partners like EDF and academic colleagues including Anne Barros and Henry Uncle, focusing on practical implementations of resilience frameworks for critical infrastructure protection. Current projects emphasize prescriptive analytics for infrastructure networks, maintenance optimization under imperfect monitoring, and game-theoretic approaches to interdependent system vulnerabilities.
He operates within the Industrial Engineering Laboratory at CentraleSupélec, which serves as the primary research hub for his work on computational methods in industrial engineering contexts, particularly for complex infrastructure systems requiring advanced decision-making frameworks under uncertainty.
