معرفی
Anne Barros is a prominent researcher specializing in resilience engineering, optimization of critical infrastructure networks, and stochastic modeling. Her work focuses on enhancing the reliability and resilience of power systems, telecommunications networks, and interdependent infrastructures under uncertainty. She has contributed significantly to the development of maintenance strategies, condition-based monitoring systems, and decision-making frameworks under stochastic environments.
- Key research areas: Resilience quantification, stochastic optimization, infrastructure interdependencies, 5G communication reliability, and climate change impact modeling.
- Co-authored over 50 publications including articles in top journals and conference proceedings.
Her recent work emphasizes the integration of reinforcement learning techniques with maintenance optimization for industrial systems. Collaborations include projects on pandemic control strategies, smart grid resilience, and disaster recovery modeling.
Barros' research has been applied to real-world systems such as offshore wind farms, railway-power networks, and critical infrastructure coordination frameworks. She actively participates in international conferences and publishes across interdisciplinary domains including reliability engineering, operations research, and systems engineering.
