Fabrizio Ruggeri

Senior Fellow at the Italian National Research Council in Milano

Highlights

  • ISI (International Statistical Institute) President-Elect (2023-25) and President (2025-27)
  • ISI (International Statistical Institute) Past Vice-President (2017-21)
  • Former President of
    • ENBIS (European Network for Business and Industrial Statistics - 2005-6)
    • ISBA (International Society for Bayesian Analysis - 2012)
    • ISBIS (International Society for Business and Industrial Statistics - 2019-21)
  • Recipient of the ISBA Zellner Medal (2014)
  • ASA (American Statistical Association - 2010), ISBA (2014) and IMS (Institute of Mathematical Statistics - 2020) Fellow
  • ENBIS Honorary Member (2020)
  • Editor-in-Chief of Applied Stochastic Models in Business and Industry
  • Editor-in-Chief of Wiley StatsRef: Statistics Reference Online
  • Adjunct Professor (2013-2022), Queensland University of Technology, Brisbane, Australia
  • Academic Advisor (2023-2026), Institute of Statistical Sciences, Academia Sinica, Taipei, Taiwan
  • National Habilitation for a Full Professor position (Statistics 13/D1) in Italian universities (2014-2025)

Forthcoming events

  • Statistics Week Taiwan 2024, Taipei, Taiwan (2024)
  • 8th NUS-ISM-ZIB-IMI-MODAL Workshop, Singapore (2024)
  • 2024 International Conference for Statistics and Data Science, Taipei, Taiwan (2024)
  • Master course at Collegio Nuovo, Pavia, Italy (2024)
  • George Mason University, Washington, USA (2024)
  • Duke University, Durham, USA (2024)
  • University of California at Santa Cruz, USA (2024)
  • Master course at George Washington University, Washington, USA (2024)
  • 15th workshop on Stochastic Models, Statistics and their Applications, Delft, The Netherlands (2024)
  • University of Malta, La Valletta, Malta (2024)
  • Washington University, St. Louis, USA (2024)
  • Bayes on the Beach, Gold Coast, Australia (2024)
  • Queensland University of Technology, Brisbane, Australia (2024)

Education

B.Sc. Mathematics - University of Milano
M.Sc. Statistics - Carnegie Mellon University
Ph.D. Statistics - Duke University

  • Adversarial Risk Analysis
  • Bayesian Analysis
  • Bayesian Decision Theory
  • Bayesian Nonparametrics
  • Bayesian Robustness
  • Concentration Function
  • Frauds in Healthcare
  • Gamma-minimax
  • Industrial Statistics
  • Mixture Models
  • Project Management
  • Queues
  • Reliability
  • Wavelets
Books Encyclopedias Papers
  • Gallego, V., Naveiro, R., Redondo, A., Rios Insua, D. and Ruggeri, F. (2024), Protecting Classifiers From Attacks. To appear in Statistical Science.
  • Vimalajeewa, D., DasGupta, A., Ruggeri, F. and Vidakovic, B. (2023), Gamma-Minimax Wavelet Shrinkage for Signals with Low SNR, New England Journal of Statistics in Data Science, 1, 159-171.
  • Andreella, A., Mira, A., Balafas, S., Wit, E., Ruggeri, F., Nattino, G., Ghirardi, G. and Bertolini, G. (2023), A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy. To appear in Statistical Methods & Applications.
  • Joshi, C. and Ruggeri, F. (2023), On a class of prior distributions accounting for uncertainty in the data. International Journal of Approximate Reasoning, 161, 108980.
  • Ay, A., Landon, J., Ruggeri, F. and Soyer, R. (2023), A Self-Exciting Process with Latent Variables for Software Failures. Naval Research Logistics, 70, 507-536.
  • Peralta, B., Soria, R., Nicolis, O., Ruggeri, F., Caro, L. and Bronfman, A. (2023), Outlier vehicle trajectory detection using deep autoencoders in Santiago, Chile. Sensors, 23, 1440.
  • Ruggeri, F. and Vidakovic, B. (2023), Zero-Truncated Poisson Distribution. Wiley StatsRef: Statistics Reference Online, R. Kenett, N. Langford, W. Piegorsch and F. Ruggeri Eds., Wiley.
  • Damblin, G., Keller, M., Pasanisi, A., Schumann, M., Barbillon, P., Ruggeri, F. and Parent, E. (2022), Bayesian validation of a computer model for the energy consumption of a building, with application to optimal electric bill pricing. Econometrics, 10, 34.
  • Boone, E., Hannig, J., Ghanam, R. Ghosh. S., Ruggeri F. and Prudhomme S. (2022), Model validation of a single degree-of-freedom oscillator: a case study. Stats, 5, 1195-1211.
  • Ferreira, J.A., Loschi, R.H. and Ruggeri, F. (2022), Bayesian Robustness in Change Point Analysis. Journal of Statistical Theory and Practice, 16, 68.
  • Zafari, B., Ekin, T. and Ruggeri, F. (2022), Multicriteria Decision Frontiers for Prescription Anomaly Detection Over Time. Journal of Applied Statistics, 49, 3638-3658.
  • Adebanji, A., Rios Insua, D. and Ruggeri, F. (2022), Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana. Socio-Economic Planning Sciences, 83, 101348.
  • Lopes de Oliveira, G., Argiento, R., Loschi, R.H., Martins Assuncao, R., Ruggeri, F. and Branco, M. (2022), Bias correction in clustered underreported data. Bayesian Analysis, 17, 95-126.
  • Bodini, A., Pasquali, S., Pievatolo, A. and Ruggeri, F. (2022), Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic. Stochastic Environmental Research and Risk Assessment, 36, 137-155.
  • Ruggeri, F. (2021), Discussion of "Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression" by Lewis, MacEachern and Lee. Bayesian Analysis, 16, 1440-1441.
  • Ruggeri, F., Bolfarine, H., Bazan, J.L., Arellano-Valle, R.B., Lachos Davila, V.H. and de Castro, M. (2021), 2021 ISI Mahalanobis Award: a Tribute to Heleno Bolfarine. International Statistical Review, 89, 435-446.
  • Ruggeri, F. (2021), Comment on “A Gibbs Sampler for a Class of Random Convex Polytopes” by P.E. Jacob, R. Gong, P.T. Edlefsen and A.P. Dempster. Journal of the American Statistical Association, 116, 1204-1205.
  • Ebert, A., Mengersen, K., Ruggeri, F. e Wu, P. (2021), Curve registration of functional data for approximate Bayesian computation. Stats, 4, 762-775.
  • Rodriguez, M., Leiva, V., Huerta, M., Lillo, C., Tapia, A. and Ruggeri, F. (2021), An asymmetric area model-based approach for small area estimation applied to survey data. RevStat, 19, 399-420.
  • Puentes, R., Marchant, C., Leiva, V., Figueroa-Zuniga, J.I. and Ruggeri, F. (2021), Predicting PM2.5 and PM10 Levels during Critical Episodes Management in Santiago, Chile, with a Bivariate Birnbaum-Saunders Log-Linear Model. Mathematics, 9(6), 645.
  • Pievatolo, A., Ruggeri, F., Soyer, R. and Wilson, S.P. (2021), Decisions in Risk and Reliability: An Explanatory Perspective. Stats, 4, 228-250.
  • Ebert, A., Datta, R., Mengersen, K., Mira, A., Ruggeri, F. and Wu, P. (2021), Likelihoodfree parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal. Journal of the Royal Statistical Society, C, 70, 770-792.
  • Yera, Y.G., Lillo, R.E., Nielsen, B.F., Ramirez-Cobo, P. and Ruggeri, F. (2021), A bivariate two-state Markov Modulated Poisson Process for failure modelling. Reliability Engineering and Systems Safety, 208, 107318.
  • Gonzalez-Ortega, J., Soyer, R., Rios Insua, D. and Ruggeri, F. (2021), An Adversarial Risk Analysis Framework for Batch Acceptance Problem. Decision Analysis, 18, 25-40.
  • Gonzalez-Ortega, J., Rios Insua, D., Ruggeri, F. and Soyer, R. (2021), Hypothesis Testing in Presence of Adversaries. The American Statistician, 75, 31-40.
  • Gleaton, J.U., Han, D., Lynch, J.D., Ng, H.K.T. and Ruggeri, F. (2021), Fiber Bundle Models. Wiley StatsRef: Statistics Reference Online, R. Kenett, N. Langford, W. Piegorsch and F. Ruggeri Eds., Wiley.
  • Gleaton, J.U., Han, D., Lynch, J.D., Ng, H.K.T. and Ruggeri, F. (2021), Capacitor Laws. Wiley StatsRef: Statistics Reference Online, R. Kenett, N. Langford, W. Piegorsch and F. Ruggeri Eds., Wiley.
  • Gleaton, J.U., Han, D., Lynch, J.D., Ng, H.K.T. and Ruggeri, F. (2021),Weakest Link in Fiber Bundle Models. Wiley StatsRef: Statistics Reference Online, R. Kenett, N. Langford, W. Piegorsch and F. Ruggeri Eds., Wiley.
  • Joshi, C, Ruggeri, F. and Wilson, S.P. (2021), Bayesian Implementation of the Fault Tree Analysis. Wiley StatsRef: Statistics Reference Online, R. Kenett, N. Langford, W. Piegorsch and F. Ruggeri Eds., Wiley.
  • Leiva, V., Ruggeri, F. and Laniado, H. (2021), Bayesian computation in a Birnbaum- Saunders reliability model with applications to fatigue data. To appear in Bayesian Inference and Computation in Reliability and Survival Analysis”, Y. Lio, D.-G. Chen, H.K.T. Ng and T.-R. Tsai Eds., Springer.
  • Torres-Barran, A., Redondo, A., Rios Insua, D., Domingo, J. and Ruggeri, F. (2021), Structured Expert Judgement Issues in a Supply Chain Cyber Risk Management System. In Expert Judgement in Risk and Decision Analysis, A.M. Hanea, G.F. Nane, T. Bedford and S. French Eds., Springer.
all publications ...
10/2016 My wife's and "my" students at Liceo Scientifico Giulio Casiraghi, Cinisello Balsamo (Milano, Italy), won at TEDxYouth@Bologna for the category "Mathematics and Economics". See their video
Ph.D. courses
  • Yau Mathematical Sciences Centre, Tsinghua University, Beijing, China - Adversarial Risk Analysis (2023)
  • SAMSI-Duke-UNC-NCSU, Durham, USA - Games and Decisions in Risk and Reliability (2020)
  • Interdottorato Milano e Pavia - Analisi bayesiana di processi stocastici (2017)
  • Technical University Dortmund, Germany - Bayesian Analysis of Stochastic Process Models (2016)
  • Interdottorato Milano e Pavia - Analisi bayesiana di processi stocastici (2015)
  • Ph.D. Programme in Statistics, Universidad de Valparaiso, Chile - Bayesian Analysis of Stochastic Process Models (2014)
  • School of Business - George Washington University, Washington, USA - Bayesian Analysis of Stochastic Process Models (2014)
  • King Abdullah University of Science and Technology (KAUST), Jeddah, Saudi Arabia - Bayesian Analysis of Stochastic Process Models (2013)
  • read more ...
Master courses
  • Collegio Nuovo, Pavia, Italy - Computational Statistical Learning (2024)
  • George Washington University, Washington, USA - Forecasting for Analytics (2024)
  • Università della Svizzera Italiana, Lugano, Switzerland - Introduction to Bayesian Computing (2023)
  • Maestria en Matematicas - Universidad Nacional Autonoma de Honduras, Tegucigalpa - Time Series (2022)
  • Kwame Nkrumah University of Science and Technology, Kumasi, Ghana - Bayesian Analysis (2019)
  • Maestria en Matematicas - Universidad Nacional Autonoma de Honduras, Tegucigalpa - Time Series (2018)
  • Maestria en Matematicas - Universidad Nacional Autonoma de Honduras, Tegucigalpa - Nonparametric Statistics (2017)
  • Inter-University MSc of Statistics and Operations Research - On Bayesian Methods in Industrial Statistics (2010)
  • Master Oficial en la Ingenieria de la Decision, Madrid - Bayesian Reliability (2007, 2009)
  • read more ...
B.Sc. courses
  • Politecnico di Milano
    • Metodi probabilistici, statistici e processi stocastici (a.a. 1991-1992)
    • Metodi probabilistici, statistici e processi stocastici (a.a. 1995-1998)
    • Statistica Matematica (a.a. 1998-2000)
    • Metodi probabilistici, statistici e processi stocastici (a.a. 2000-2001)
    • Statistica Matematica (a.a. 2001-2002)
  • Università di Torino, Facoltà di Scienze Politiche
    • Seminari didattici su Affidabilità (a.a. 2002-2003)
    • Seminari didattici su Analisi della sopravvivenza (a.a. 2002-2003)
Dissertations
Organising and Scientific Committees
  • International Conference on Recent Developments in the Techniques of Bayesian Paradigm, Varanasi, India, 2025.
  • ISBIS 2024 (International Symposium for Business and Industrial Statistics), Jogjakarta, Indonesia, 2024.
  • ABS24 (Applied Bayesian Statistics) school, Como, Italy, 2024.
  • IAOS-ISI Regional Statistical Conference, Mexico City, 2024.
  • International Conference on Data Science, Santiago, Chile, 2023.
  • La Statistica al CNR al servizio del Paese (seconda edizione), Milano, Italy (online)
  • ISIPTA’23: 13th International Symposium on Imprecise Probabilities and Their Applications, Oviedo, Spain, 2023.
  • ABS23 (Applied Bayesian Statistics) school, Firenze, Italy, 2023.
  • MMR2023 (Mathematical Methods in Reliability), Murcia, Spain, 2023.
  • GDRR 2023 (Seventh Workshop on Games and Decisions in Reliability and Risk), Madrid, Spain, 2023.
  • BISP13: 13th Workshop on Bayesian Inference in Stochastic Processes, Madrid, Spain, 2023.
  • ICSPDS2023: International Conference on Statistics, Probability, Data Science and Related Areas, Kochi, India, 2023.
  • read more ...
Invited talks
  • Statistics Week Taiwan 2024, Taipei, Taiwan (2024)
  • 8th NUS-ISM-ZIB-IMI-MODAL Workshop, Singapore (2024)
  • 2024 International Conference for Statistics and Data Science, Taipei, Taiwan (2024)
  • George Mason University, Washington, USA (2024)
  • 15th workshop on Stochastic Models, Statistics and their Applications, Delft, The Netherlands (2024)
  • University of Malta, La Valletta, Malta (2024)
  • Washington University, St. Louis, USA (2024)
  • Bayes on the Beach, Gold Coast, Australia (2024)
  • Workshop on Statistical Computing and Robust Inference for High Dimensional Data, Taipei, Taiwan (2023)
  • International Conference on Data Science, Santiago de Chile (2023)
  • Jornadas de Estadistica, Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador (online) (2023)
  • New Frontiers in Reliability and Risk Analysis: A Tribute to Nozer D. Singpurwalla, Washington, DC, USA (2023)
  • III Congreso Colombiano de Estadistica and XV Congreso Latinoamericano de Sociedades de Estadistica (CLATSE), Cali, Colombia (2023)
  • Tsinghua University, Beijing, China (2023)
  • Renmin University, Beijing, China (2023)
  • Harbin Institute of Technology, China (2023)
  • Università Bocconi, Italy (2023)
  • ASMDA 2023 (20th conference of the Applied Stochastic Models and Data Analysis International Society), Heraklion, Greece (2023)
  • Università di Venezia, Italy (2023)
  • University of Auckland, New Zealand (2023)
  • University of Waikato, Hamilton, New Zealand (2023)
  • ICMAT-CSIC, Madrid, Spain (2023)
  • Università di Pavia, Italy (2023)
  • Workshop on Emerging Research Opportunities at the Intersection of Statistics and Internet Measurement, Boston, USA (2023)
  • read more ...
Grants
  • Ecosistema dell’innovazione RAISE (Robotics and AI for Socio-economic Empowerment (Piano Nazionale di Ripresa e Resilienza) (2022-2025) (Project member)
  • AMALFI: Adversarial Machine Learning: Methods, Computations and Applications to Malware, Fake News and Autonomous Vehicles (Fundacion BBVA) (2020-2022) (Project member)
  • IMARI project (Real Istituto Elcano) (2017-2018) (Experts' Committee member)
  • Technological innovation for rational household management (Lombardia Region - CNR) (2013-2015) (Project member)
  • Smart industry for advanced and sustainable demanufacturing (Lombardia Region - CNR) (2013-2015) (Project member)
  • Expert Judgment Network: Bridging The Gap Between Scientific Uncertainty And Evidence-Based Decision Making (COST Action) (2013-) (Proposal Participant)
  • Integrated technological solutions for zero waste recycling of printed circuit boards (CNR - Ministry of Education, University and Research Flagship Project "Factory of the Future") (2013-2014) (Project member)
  • Composite nanofibers for treatment of air and water by an industrial conception of electrospinning (CNR - Ministry of Education, University and Research Flagship Project "Factory of the Future") (2013-2014) (Project member)
  • read more ...
Fellowships
  • CNR Short Term Mobility Programme (2005)
  • NATO - CNR Senior Fellowship Programme (1998)
  • National Science Foundation Conference Travel Fellowship (1994)
  • Duke University Graduate School Conference Travel Fellowship (1994)
  • Duke University Graduate School Conference Travel Fellowship (1993)
  • CNR Borsa di studio per l'estero (1989)
  • CNR Borsa di studio per l'interno (1987)
Appointments
  • Program Leader, Statistical and Applied Mathematical Sciences Institute, Durham, NC, USA (2019-20)
  • Chair of Excellence, Comunidad de Madrid, Univ. Carlos III and ICMAT, Spain (2017)
  • Research Associate, Electricite de France, Paris, France (2016)
  • Faculty, Ph.D. Programme in Mathematics, INdAM, Università di Milano Bicocca e di Pavia (2015 – current)
  • Adjunct Faculty, Queensland University of Technology, Brisbane, Australia (2013-2022)
  • Visiting Professor, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia (2013)
  • Foreign Faculty, Ph.D. Programme in Statistics, University of Valparaiso, Chile (2012-2019)
  • Research Fellow, Statistical and Applied Mathematical Sciences Institute, Durham, NC, USA (2011-2012)
  • Visiting Faculty, Business School, George Washington University (2010)
  • Faculty, Doctoral School, University of Tizi-Ouzou, Algeria (2009-2010)
  • International Professor Affiliate, Polytechnic Institute, New York University, NY, USA (2009-2015)
  • Research Fellow, Statistical and Applied Mathematical Sciences Institute, Durham, NC, USA (2007-2008)
  • Member of the Coordinating Committee of the Master for the Applications of Mathematics in Industry, Università di Milano Bicocca (2005-2008)
  • Member of the Advisory Board of the Ph.D. Programme in Mathematical Engineering, Politecnico di Milano (2004-2015)
  • Faculty, Master for the Applications of Mathematics in Industry, Università di Milano Bicocca (2003-2008)
  • Faculty, Ph.D. Programme in Mathematics and Statistics, Università di Pavia (2001-2018)
  • Faculty, Ph.D. Programme in Mathematical Statistics, Università di Pavia (1999-2002)
  • Adjunct Professor, Politecnico di Milano (1995-2003)
  • Visiting Researcher, Duke University (1998)
  • Visiting Researcher, Duke University (1997)
Editorial activity
  • Editor (1999-2002) of the ISBA (International Society for Bayesian Analysis) Bulletin
  • Guest editor of Vol. 20, issue 3 (2004) of Applied Stochastic Models in Business and Industry
  • Guest editor of Vol. 22, issue 2 (2006) of Applied Stochastic Models in Business and Industry
  • Guest editor of a special issue of International Journal of Approximate Reasoning (2009) on Bayesian robustness
  • Guest editor of a special issue of Decision Analysis (2009) on Games and Decisions in Risk and Reliability
  • Editor-in-Chief (since 2007) of Applied Stochastic Models in Business and Industry
  • Editor (2003-2007) of Applied Stochastic Models in Business and Industry
  • Editor (2003-2010) of Bayesian Analysis
  • read more ...
Service and membership
  • Member (2020-2022) of GEV 13a (Economic and Statistical Sciences) in charge of evaluating Italian research for 2015-2019 (ANVUR -VQR 2015-2019).
  • Inaugural member of the Pan-African Scientific Research Council (2021 -).
  • Ambassador and International Mentor at the West African Young Statisticians Association (2021 -).
  • Member of the European Research Council Synergy Grants Panel (2020).
  • External Assessor for job hiring/promotion, University Putra Malaysia (2019-2021).
  • Chair of the ISBIS 2019 Nominations Committee.
  • read more ...

No personal data are kept