Personal information

Websites & social links

https://faculty.ce.cmu.edu/pozzi/

Other IDs

Scopus Author ID: 22941921700
ResearcherID: O-8657-2016
Loop profile: 276344
Scopus Author ID: 58094074900

Keywords

Bayesian methods for risk assessment and decision analysis; Value of information; Structural health

Countries

United States

Biography

I am a Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University. My research focuses on probabilistic risk analysis and decision optimization, applied to civil infrastructures. I got a PhD in Structural Engineering from the University of Trento (Italy) and a post-doctoral research position at UC Berkeley.

Activities

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Employment (3)

Carnegie Mellon University: Pittsburgh, PA, US

2021-07-01 to present | Professor (CEE)
Employment
Source: Self-asserted source
Matteo Pozzi

Carnegie Mellon University: Pittsburgh, PA, US

2017-07-01 to 2021-06-30 | Associate Prof. (CEE)
Employment
Source: Self-asserted source
Matteo Pozzi

Carnegie Mellon University: Pittsburgh, PA, US

2012-10-15 to 2017-06-31 | Assistant Prof. (CEE)
Employment
Source: Self-asserted source
Matteo Pozzi

Education and qualifications (2)

Università degli Studi di Trento: Trento, Trentino-Alto Adige, IT

2007-03-01 | PhD (DIMS)
Education
Source: Self-asserted source
Matteo Pozzi

Università degli Studi di Trento: Trento, Trentino-Alto Adige, IT

2003-03-26 | Laurea in Civil Engineering (DIMS)
Education
Source: Self-asserted source
Matteo Pozzi

Funding (5)

Attitude towards information in multi-agent settings: Understanding and mitigating Avoidance and Over-Evaluation

2019-08-15 to 2022-07-31 | Grant
Directorate for Social, Behavioral & Economic Sciences (Arlington, US)
URL: https://app.dimensions.ai/details/grant/grant.8539180
GRANT_NUMBER: 1919453
Source: Self-asserted source
Matteo Pozzi via DimensionsWizard

From Future Learning To Current Action: Long-Term Sequential Infrastructure Planning Under Uncertainty

2017-08 to 2020-07 | Grant
National Science Foundation - Directorate for Engineering (VA, VA, US)
GRANT_NUMBER: 1663479
Source: Self-asserted source
Matteo Pozzi

PREEVENTS Track 2: Collaborative Research: SHADE: Surface Heat Assessment for Developed Environments

2017-08 to 2020-07 | Grant
National Science Foundation - Directorate for Geosciences (VA, VA, US)
GRANT_NUMBER: 1664091
Source: Self-asserted source
Matteo Pozzi

CAREER: Infrastructure Management under Model Uncertainty: Adaptive Sequential Learning and Decision Making

2017-03-01 to 2022-02-31 | Grant
National Science Foundation - Directorate for Engineering (Arlington, US)
URL: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1653716&HistoricalAwards=false
GRANT_NUMBER: 1653716
Source: Self-asserted source
Matteo Pozzi

CRISP Type 1/Collaborative Research: A Computational Approach for Integrated Network Resilience Analysis Under Extreme Events for Financial and Physical Infrastructures

Source: Self-asserted source
Matteo Pozzi via DimensionsWizard
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