معرفی
Matteo Pozzi is a Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University (CMU). His research focuses on probabilistic risk analysis and decision optimization for civil infrastructures, integrating sensor data and engineering models to enhance resilience against extreme events. He holds a Ph.D. in Structural Engineering from the University of Trento (Italy) and completed a post-doctoral fellowship at UC Berkeley. His work emphasizes probabilistic models for seismic vulnerability, maintenance scheduling, and smart infrastructure systems.
Education:
- Ph.D., Structural Engineering, University of Trento (2007)
- Laurea (M.S. + B.S.), Civil Engineering, University of Trento (2003)
Research Interests: His research spans advanced infrastructure systems, climate-resilient technologies, and intelligent engineered systems. Key areas include sensor integration for structural health monitoring, probabilistic modeling for infrastructure resilience, and optimal planning for mitigating extreme events.
Awards & Grants:
- NSF CAREER Award (2017)
- Siebel Energy Institute Research Grant (2017)
- PITA Grant for Microreactor Technology (2019)
- Multiple NSF grants (SES-DRMS, ENG-CMMI-IMEE, GEO-ICER-PREEVENTS)
Labs & Affiliations: He is affiliated with the Pennsylvania Smart Infrastructure Incubator and collaborates with the Scott Institute for Energy Innovation. His lab develops computational tools for integrated risk assessment and decision-making in civil systems.
