Ph.D. in Civil Engineering
University at Buffalo, State University of New York (SUNY)
Buffalo, New York, USA
Professor Gian Paolo Cimellaro is a US-trained structural and earthquake engineer who develops interdisciplinary methods to understand, predict and reduce disaster impacts across the built environment and critical infrastructure.
Academic background
Ph.D. in Civil Engineering
Buffalo, New York, USA
M.S. in Earthquake Engineering
Buffalo, New York, USA
Ph.D. in Civil Engineering
DIPMEC
Master in Information Systems, Integration and Auditing
School of Management (SAA), MBA in IT Governance
Degree in Civil Engineering
DISG
Research
From structural response to community recovery, the research program connects rigorous engineering with the realities of interconnected urban systems.
Risk-informed methods to measure, model and improve the resilience and sustainability of communities and critical infrastructure.
Structural dynamics, seismic risk assessment, shaking-table experimentation and performance-based engineering.
Modeling coupled human, natural and engineered systems, including cascading failures across infrastructure networks.
Passive, semi-active and active vibration-control systems for safer, more adaptive structures.
Selected work
Hybrid temporal-network models for assessing vulnerability, cascading failures and recovery in electric-power systems.
A mobile workflow for structured post-earthquake damage assessment and field-data collection.
Environmental resilience supported by distributed smart-parking sensors and decision-ready urban data.
Knowledge
A searchable gateway to selected journal papers, books, chapters, conference papers and technical reports.
Engineering Structures, Vol. 323, Article 119210, 25 pages.
International Journal of Disaster Risk Reduction, Vol. 126, Article 105606.
Resilient Cities and Structures, Vol. 3, No. 3, pp. 28–42.
Journal of Structural Engineering, Vol. 150, No. 1, Article 04023211, pp. 1–13.
News and updates
The award supported research on improving the reliability and efficiency of electrical-distribution infrastructure using hybrid temporal-network models.
Read the announcement →Briefly explain the research challenge, the project consortium and the expected scientific or societal impact.
Explore projects →Use this area for doctoral defenses, appointments, student awards, visiting researchers and laboratory milestones.
Meet the team →Collaborate
For research collaborations, doctoral opportunities, thesis requests, invited lectures or media enquiries, contact the group directly.