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EMANUELE BORGONOVO

EMANUELE BORGONOVO
Professore Ordinario
Dipartimento di Scienze delle Decisioni
 

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Insegnamenti a.a. 2019/2020

20486 FONDAMENTI DI BUSINESS ANALYTICS / PRINCIPLES OF BUSINESS ANALYTICS
30400 MATHEMATICS AND STATISTICS - MODULE 1 (MATHEMATICS)
30415 TECHNOLOGICAL INNOVATION SEMINARS I
30514 BIG DATA FOR BUSINESS ANALYTICS
40255 MODELS FOR RISK EVALUATION

Insegnamenti a.a. precedenti


Note biografiche

Ph.D. in Probabilistic Risk Assessment presso il Massachusetts Institute of Technology, Cambridge, MA, USA. Thesis advisor: Prof George E. Apostolakis. Ha inoltre perfezionato i suoi studi all'Università di Harvard e alla MIT Sloan School of Management. Laurea a pieni voti in Ingegneria Nucleare Orientamento Matematico-Fisico, Politecnico di Milano.


Curriculum Accademico

Professore Ordinario presso il Dipartimento di Scienze delle Decisioni e Direttore del Bachelor in Economics, Management and Computer Science (BEMACS). E' stato direttore del Centro di Ricerca ELEUSI dal 2008 al 2012.

E'  President-Elect della Decision Analysis Society (INFORMS), co-chair del comitato tecnico per l'Analisi di Incertezza della Associazione Europea per la Sicurezza e Effidabilità (ESRA) dal 2013.

E' inoltre co-Editor-In Chief dell'European Jounal of Operational Research, scientific advisor della Springer International Series in Operations Research and Management Science e membro del Comitato Scientifico della Fondazione Silvio Tronchetti Provera.

Ha vinto numerosi premi nazionali e internazionali, tra cui il "2017 Chinese Academy of Sciences President's Visiting Professor Fellowship," il 2015 IBM Faculty Award, il 2014 Best Risk Analysis paper award dalla Society for Risk Analysis,  la McCormack Fellowship della Westinghouse Corporation nel 2000, come best Ph.D. Candidate del Dipartimento di Ingegneria Nucleare del Massachusetts Institute of Technology, la honorary membership di "Sigma XI , the Scientific Research Society of North America" e di "Alpha Nu Sigma," la società onoraria della American Nuclear Society, di cui è stato presidente della sua sezione MIT nel 2000, il 2013 "Best Reviewer Award" della rivista Risk Analysis, il 2013 Best Reviewer Award di Reliability Engineering and System Safety,  il best Reviewer Award dell’ European Journal of Operational Research 2012 e 2010, e il 2012 Best Reviewer Award di Environmental Modelling & Software. Ha vinto il Premio Eccellenza di Ricerca dell'Università Bocconi per nove anni consecutivi dal 2006 al 2014.

E' ideatore di numerosi metodi di analisi di sensibilità, tra cui la misura di importanza differenziale (DIM), inclusa nella “Probabilistic Risk Assessment Procedures Guide of NASA Managers and Practitioners” dal 2002.

E 'stato Guest Lecturer e relatore invitato a convegni e seminari in numerose università e conferenze nazionali ed internazionali. Ha partecipato e condotto diversi progetti di ricerca in collaborazione con gli Idaho National Laboratories, il Joint Research Center dell’European Commission, Électricité de France, Fitch Ratings SpA , SAS Institute, Fidia Farmaceutici SpA, SIEMENS, Grandi Stazioni, Charles Rivers Analytics e la US Defence Advanced Research Project Agency (DARPA).

E membro dell'Editorial Board di Risk Analysis, Operations Research Perspectives, Reliability Engineering & System Safety, Journal of Risk and Reliability, International Journal of Mathematics in Operational Research, International Journal of Risk Management, International Journal of Business Logistics, International Journal of Service Oriented Computing and Manufacturing.

E 'autore di oltre 100 pubblicazioni. I suoi lavori sono apparsi su riviste internazionali quali Journal of the Royal Statistical Society series B, Management Science, Operations Research, Nature Climate Change, European Journal of Operational Research, Risk Analysis, Water Resources Research, SIAM-ASA Journal on Uncertainty Quantification, Reliability Engineering & System Safety, International Journal of Production Economics, etc.

E' autore del libro: "Sensitivity Analysis: An Introduction for the Management Scientist", Springer International Series of Management Science and Operations Research, 2017. http://www.springer.com/gp/book/9783319522579


Aree di interesse scientifico

Risk Analysis, Decision Analysis, Machine Learning, Uncertainty and Global Sensitivity Analysis, Agent-Based Simulation.


Pubblicazioni



PUBBLICAZIONI SELEZIONATE

Alcune pubblicazioni:

I. Antoniano Villalobos, E. Borgonovo, X. Lu (2019): "Non Parametric Estimation of Global Sensitivity Measures," Statistics and Computing, forthcoming.

 

Lu, X., Rudi, A., Borgonovo, E., & Rosasco, L. (2019). Faster kriging: Facing High Dimensional Simulators, Operations Research, Forthcoming.

 

Plischke, E., & Borgonovo, E. (2019). Copula theory and probabilistic sensitivity analysis: Is there a connection? European Journal of Operational Research, forthcoming.

 

G. Rabitti and E. Borgonovo: " A Shapley-Owen Value Measure of Interaction Importance", SIAM-ASA Journal on Uncertainty Quantification, forthcoming.

 

Antoniano-Villalobos, I., Borgonovo, E., & Siriwardena, S. (2018). Which Parameters Are Important? Differential Importance Under Uncertainty. Risk Analysis, 38(11), 2459–2477.

 

Borgonovo, E., Cillo, A., & Smith, C. L. (2018). On the Relationship between Safety and Decision Significance. Risk Analysis, 38(8), 1541–1558.

 

Borgonovo, E., Morris, M. D., & Plischke, E. (2018). Functional Anova with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments. SIAM/ASA Journal on Uncertainty Quantification, 6(1), 397–427.

 

Borgonovo, E., Wendell, R. E., & Buzzard, G. T. (2018). A Global Tolerance Approach to Sensitivity Analysis in Linear Programming. European Journal of Operational Research, 1(16), 321–337.

 

Borgonovo, E., Cappelli, V., Maccheroni, F., Marinacci, M. Risk analysis and decision theory: A bridge, (2018) European Journal of Operational Research, 264 (1), pp. 280-293.

 

Borgonovo E., 2017. Sensitivity Analysis: An Introduction for the Management Scientist, Springer International Series in Operations Research and Management Science.

 

Marangoni, G., Tavoni, M., Bosetti, V., Borgonovo, E., et al: "Sensitivity of projected long-term CO 2 emissions across the Shared Socioeconomic Pathways (2017) Nature Climate Change, 7 (2), pp. 113-117.

 

Borgonovo, E., Plischke, E. Sensitivity analysis: A review of recent advances (2016), European Journal of Operational Research, 248 (3), pp. 869-887.

(This paper has been inserted in the list of "40 trendsetting papers of the last 40 years" by the European Journal of Operational Research).

 

Borgonovo, E., Marinacci, M., Decision analysis under ambiguity, (2015) European Journal of Operational Research, 244 (3), art. no. 12770, pp. 823-836.

 

Borgonovo E., Tarantola S., Plischke E., and Morris M.D., 2014: “Transformations and Invariance in the Sensitivity Analysis of Computer Experiments,” Journal of the Royal Statistical Society, Series B, forthcoming.

 

Baucells M. and Borgonovo E., 2013: “Invariant Probabilistic Sensitivity Analysis,” Management Science, 59 (11), pp. 2536-2549.

 

Borgonovo E. and Smith C.L., 2011: “A Study of Interactions in the Risk Assessment of Complex Engineering Systems: An Application to Space PSA,” Operations Research, 59(6), 1461-1476.

 

Borgonovo E. Castaings W. and Tarantola S., 2012: “Emulators in Moment Independent Sensitivity Analysis: An Application to Environmental Modelling,” Environmental Modelling&Software, 34, pp. 105-115.

 

Borgonovo E., 2010: “Sensitivity Analysis with Finite Changes: an Application to Modified EOQ Models”, European Journal of Operational Research, 200, pp. 127–138.

 

Borgonovo, E., A new uncertainty importance measure, (2007) Reliability Engineering and System Safety, 92 (6), pp. 771-784.

 

Borgonovo E. and G.E. Apostolakis, 2001: “A new importance measure for risk-informed decision making,” Reliability Engineering & System Safety, 72 (2), pp. 193-212.