Dr. techn. Matteo Broggi

Dr. techn. Matteo Broggi
Address
Callinstraße 34
30167 Hannover
Building
Room
108
Dr. techn. Matteo Broggi
Address
Callinstraße 34
30167 Hannover
Building
Room
108

RESEARCH

Imprecise Probabilities and multi-disciplinary approaches in (i) Reliability and Risk Analysis, (ii) Uncertainty Quantification, (iii) Simulation Techniques for Processing Uncertainty, (iv) 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 Hannover

    2014 - 2015
    Lecturer, Institute of Risk and Uncertainty, University of Liverpool

    2014 - 2015
    Research Project Leader, Virtual Engineering Centre, University of Liverpool

    2012 - 2014
    Post-doc research associate, Virtual Engineering Centre, University of Liverpool

    2008 - 2011
    Research Assistant, University of Innsbruck, Faculty of Civil Engineering, Unit of Engineering Mechanics

    2007
    Research assistant, Laboratory of signal and risk analysis, Politecnico di Milano

    2005 - 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

    • Broggi, M.; Calvi, A.; Schuëller, G. (2011): Reliability assessment of axially compressed composite cylindrical shells with random imperfectionsInternational Journal of Structural Stability and Dynamics; 11(2): 215—236.
      DOI: 10.1142/S0219455411004063

    Best Paper Award, NAFEMS World Congress2015

    • Broggi, M.; Rocchetta, R.; Patelli, E. (2015): Efficient epistemic-aleatory uncertainty quantification application to the nafems challenge problemNAFEMS World Congress 2015, San Diego, California.

COURSES