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Gian Paolo Cimellaro
Full Professor
Research Gate

Gian Paolo Cimellaro


Research Fields
  • Disaster Resilience
  • Infrastructure and network interdependencies
  • Structural Dynamics and Earthquake Engineering
  • Structural Vibration Control Using Passive, Semi-Active and Active Control Systems
  • Structural Health Monitoring (SHM)
  • Machine learning and big data analysis
  • Large scale simulations using advanced methods
  • Reliability and Vulnerability of Structures

Research Statement

Prof. Cimellaro primary field of investigation is Earthquake Engineering with emphasis on defining Quantification of Resilience of systems. Resilience is defined as the capacity of systems to rebound after severe disasters of any type. This is a new research field that embraces both theoretical and experimental aspects. It is an interdisciplinary research area that combines engineering with organizational, economical, and social aspects.

Prof. Cimellaro’s interdisciplinary research investigates representations of health system properties and processes, creating quantitative modeling solutions for a better understanding of sustainable use and resilience of systems that often challenges collaborating teams consisting of scientists, social scientists, engineers, lawyers and extension specialists across a wide spectrum of disciplines.  His major contribution has been the quantification of the concept of disaster resilience in which a unified terminology and a common resilience framework is proposed that can be used for analyzing critical facilities (e.g. hospitals, military buildings, etc.), and utility lifelines (e.g. electric power systems, transportation networks, water systems etc.).  His interdisciplinary recent research has focused on quantifying the social and economic impact of critical infrastructure disruption during disasters.  The proposed framework can be used for describing the losses as well as the recovery process of any of the systems mentioned above; however, it can become more complex when comprehensive loss estimation or recovery models (e.g. meta-models for the case of health care facilities) are used.  Even so, Dr. Cimellaro current research leads toward the definition of more complex recovery models that are able to describe the process over time and the spatial definition of recovery.

Politecnico di TorinoDISEG |