-
Systems and Network Analysis
Lecture and Practice Course
-
Reliability and Risk Analysis
Lecture and Practice Course
Dr. techn. Matteo Broggi
Dr. techn. Matteo Broggi
Phone
Address
Callinstraße 34
30167 Hannover
30167 Hannover
Building
Room
Dr. techn. Matteo Broggi
Phone
Research
Imprecise Probabilities and multi-disciplinary approaches in
- Reliability and Risk Analysis
- Uncertainty Quantification
- Simulation Techniques for Processing Uncertainty
- Robust Design
Curriculum Vitae
-
Employment History
since 01/2016
Research Associate, Group Leader Uncertainty Quantification, Institute for Risk and Reliability, Faculty of Civil Engineering and Geodetic Science, Leibniz Universität Hannover2014 - 2015
Lecturer, Institute of Risk and Uncertainty, University of Liverpool2014 - 2015
Research Project Leader, Virtual Engineering Centre, University of Liverpool2012 - 2014
Post-doc research associate, Virtual Engineering Centre, University of Liverpool2008 - 2011
Research Assistant, University of Innsbruck, Faculty of Civil Engineering, Unit of Engineering Mechanics2007
Research assistant, Laboratory of signal and risk analysis, Politecnico di Milano2005 - 2007
System Safety Engineer, M346 Program, AleniaAermacchi S.p.A. -
Education
Dr.techn. (equivalent to Ph.D.) in Civil Engineering
October 2011, University of Innsbruck, Innsbruck, Austria
Dissertation: “Computational Aspects in the Buckling Analysis of Composite Cylindrical Shells with Random Imperfections”Laurea V.O. (equivalent to M.Sc.) in Nuclear Engineering
October 2005, Politecnico di Milano, Milan, Italy
Thesis: “Uncertainty Evaluation in the Prediction of Nuclear Transients with Artificial Neural Networks” (original title: “Valutazione delle incertezze nella previsione di transitori nucleari mediante reti neurali artificiali”), Distinguished Honors Grade: 98/100 -
Honours and Awards
Best Paper Award 2011, International Journal of Structural Stability and Dynamics
![]()
![]()
![]()
-
(2011): Reliability assessment of axially compressed composite cylindrical shells with random imperfections, International Journal of Structural Stability and Dynamics; 11(2): 215—236.
DOI: 10.1142/S0219455411004063
Best Paper Award, NAFEMS World Congress2015
-
(2015): Efficient epistemic-aleatory uncertainty quantification application to the nafems challenge problem, NAFEMS World Congress 2015, San Diego, California.
-
