Access content directly

Nicola Pedroni

52
Documents

Presentation

Nicola Pedroni is an assistant professor at the EDF Chair “System Science & Energetic Challenge” with a joint appointment at the Ecole Centrale Pairs and Ecole Superieure d'Electricite (Paris, France) (from March 1, 2013). He has been an assistant professor in Nuclear Power Plants at the Politecnico di Milano (Milano, Italy) (June 1, 2010-February 28, 2013). He holds a B.Sc. in Energy Engineering (2003), a M.Sc. in Nuclear Engineering (2005) and a Ph.D. in Radiation Science and Technology (2010), all from the Politecnico di Milano. During his Ph.D. studies, he visited the Department of Nuclear Science and Engineering of the Massachusetts Institute of Technology (September 2008-May 2009). In February 2014, he received the (Italian) National Academic Qualification to be an Associate Professor in the Scientific Disciplinary Area of “Thermodynamics and Nuclear Engineering”. His research focuses on the study and development of advanced computational methods for the reliability, safety, risk, vulnerability and resilience analyses of complex, safety-critical engineering systems, in presence of uncertainties; in particular: advanced Monte Carlo simulation methods for efficient reliability estimation; theories and methods for uncertainty representation and propagation; soft-computing techniques for empirical regression modeling; techniques for solving nonlinear, constrained optimization problems; theories and methods for modeling and simulating the behavior of power transmission networks and interdependent critical infrastructures. He is co-author of 30 papers on international journals, 22 papers on proceedings of international conferences, 4 chapters in international books and 5 works published as technical reports of international research institutes. He has served as referee about 15 international journals. For more details: [Linkedin](https://fr.linkedin.com/pub/nicola-pedroni/15/702/59) [ResearchGate](http://www.researchgate.net/profile/Nicola_Pedroni) [Google Scholar](http://scholar.google.it/citations?user=YRRNEzAAAAAJ&hl=it)
Nicola Pedroni is an assistant professor at the EDF Chair “System Science & Energetic Challenge” with a joint appointment at the Ecole Centrale Pairs and Ecole Superieure d'Electricite (Paris, France) (from March 1, 2013). He has been an assistant professor in Nuclear Power Plants at the Politecnico di Milano (Milano, Italy) (June 1, 2010-February 28, 2013). He holds a B.Sc. in Energy Engineering (2003), a M.Sc. in Nuclear Engineering (2005) and a Ph.D. in Radiation Science and Technology (2010), all from the Politecnico di Milano. During his Ph.D. studies, he visited the Department of Nuclear Science and Engineering of the Massachusetts Institute of Technology (September 2008-May 2009). In February 2014, he received the (Italian) National Academic Qualification to be an Associate Professor in the Scientific Disciplinary Area of “Thermodynamics and Nuclear Engineering”. His research focuses on the study and development of advanced computational methods for the reliability, safety, risk, vulnerability and resilience analyses of complex, safety-critical engineering systems, in presence of uncertainties; in particular: advanced Monte Carlo simulation methods for efficient reliability estimation; theories and methods for uncertainty representation and propagation; soft-computing techniques for empirical regression modeling; techniques for solving nonlinear, constrained optimization problems; theories and methods for modeling and simulating the behavior of power transmission networks and interdependent critical infrastructures. He is co-author of 30 papers on international journals, 22 papers on proceedings of international conferences, 4 chapters in international books and 5 works published as technical reports of international research institutes. He has served as referee about 15 international journals. For more details: [Linkedin](https://fr.linkedin.com/pub/nicola-pedroni/15/702/59) [ResearchGate](http://www.researchgate.net/profile/Nicola_Pedroni) [Google Scholar](http://scholar.google.it/citations?user=YRRNEzAAAAAJ&hl=it)

Publications

A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models

Tasneem Bani-Mustafa , Nicola Pedroni , Enrico Zio , Dominique Vasseur , Francois Beaudouin
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2020, 234 (6), pp.748-763. ⟨10.1177/1748006X20929111⟩
Journal articles hal-03137334v1
Image document

Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment

Zhiyi Wang , Nicola Pedroni , Irmela Zentner , Enrico Zio
Engineering Structures, 2018, 162, pp.213-225. ⟨10.1016/j.engstruct.2018.02.024⟩
Journal articles hal-01716961v1
Image document

An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems

Pietro Turati , Nicola Pedroni , Enrico Zio
Risk Analysis, 2017, 37 (1), pp.147 - 159. ⟨10.1111/risa.12593⟩
Journal articles hal-01652286v1
Image document

An Adaptive Metamodel-Based Subset Importance Sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system

Nicola Pedroni , Enrico Zio
Applied Mathematical Modelling, 2017, 48, pp.269-288. ⟨10.1016/j.apm.2017.04.003⟩
Journal articles hal-01652225v1
Image document

A critical discussion and practical recommendations on some issues relevant to the non-probabilistic treatment of uncertainty in engineering risk assessment

Nicola Pedroni , Enrico Zio , Alberto Pasanisi , Mathieu Couplet
Risk Analysis, 2017, 37 (7), pp.1315 - 1340. ⟨10.1111/risa.12705⟩
Journal articles hal-01652230v1
Image document

An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data

Tairan Wang , Vincent Mousseau , Nicola Pedroni , Enrico Zio
Reliability Engineering and System Safety, 2017, 157, pp.139-151. ⟨10.1016/j.ress.2016.08.021⟩
Journal articles hal-01436593v1
Image document

Bootstrapped artificial neural networks for the seismic analysis of structural systems

Elisa Ferrario , Nicola Pedroni , Enrico Zio , Fernando Lopez-Caballero
Structural Safety, 2017, 67 (1), pp.70-84. ⟨10.1016/j.strusafe.2017.03.003⟩
Journal articles hal-01494366v1
Image document

Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation

Elisa Ferrario , Nicola Pedroni , Enrico Zio
Reliability Engineering and System Safety, 2016, 155, pp.78-96. ⟨10.1016/j.ress.2016.06.007⟩
Journal articles hal-01346420v1
Image document

Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems

Pietro Turati , Nicola Pedroni , Enrico Zio
Reliability Engineering and System Safety, 2016, ⟨10.1016/j.ress.2016.04.020⟩
Journal articles hal-01330158v1
Image document

Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: a sensitivity-based decision-making approach

Tairan Wang , Nicola Pedroni , Enrico Zio
Reliability Engineering and System Safety, 2016, 147, pp.9-18. ⟨10.1016/j.ress.2015.09.005⟩
Journal articles hal-01270677v1
Image document

Empirical comparison of two methods for the Bayesian update of the parameters of probability distributions in a two-level hybrid probabilistic-possibilistic uncertainty framework for risk assessment

Nicola Pedroni , Enrico Zio , A Pasanisi , M Couplet
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 2015, pp.04015015. ⟨10.1061/AJRUA6.0000848⟩
Journal articles hal-01270598v1
Image document

Hybrid Uncertainty and Sensitivity Analysis of the Model of a Twin-Jet Aircraft

Nicola Pedroni , Enrico Zio
Journal of Aerospace Information Systems, 2015, 12, pp.73-96. ⟨10.2514/1.I010265⟩
Journal articles hal-01104273v1
Image document

Analysis of the robustness and recovery of critical infrastructures by Goal Tree Success Tree – Dynamic Master Logic Diagram, within a multi-state system-of-systems framework, in the presence of epistemic uncertainty

Elisa Ferrario , Nicola Pedroni , Enrico Zio
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2015, 1 (3), pp.14. ⟨10.1115/1.4030439⟩
Journal articles hal-01178292v1
Image document

Assessing the Performance of a Classification-Based Vulnerability Analysis Model

Tai-Ran Wang , Vincent Mousseau , Nicola Pedroni , Enrico Zio
Risk Analysis, 2015, 35 (9), pp.1674-1689. ⟨10.1111/risa.12305⟩
Journal articles hal-01104733v1
Image document

Optimization of Cascade-Resilient Electrical Infrastructures and its Validation by Power Flow Modelling

Yiping Fang , Nicola Pedroni , Enrico Zio
Risk Analysis, 2015, 35 (4), pp.594-607. ⟨10.1111/risa.12396⟩
Journal articles hal-01176349v1
Image document

Treating uncertainties in a nuclear seismic probabilistic risk assessment by means of the Dempster-Shafer theory of evidence

Chung-Kung Lo , Nicola Pedroni , Enrico Zio
Nuclear Engineering and Technology, 2014, 46 (1), pp.11-26. ⟨10.5516/NET.03.2014.701⟩
Journal articles hal-01090253v1
Image document

Comparing Network-Centric and Power Flow Models for the Optimal Allocation of Link Capacities in a Cascade-Resilient Power Transmission Network

Yi-Ping Fang , Nicola Pedroni , Enrico Zio
IEEE Systems Journal, 2014, PP (99), pp.1 - 12. ⟨10.1109/JSYST.2014.2352152⟩
Journal articles hal-01108169v1
Image document

Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model

Nicola Pedroni , Enrico Zio , Elisa Ferrario , Alberto Pasanisi , Mathieu Couplet
Computers & Structures, 2013, Online, pp.1-15. ⟨10.1016/j.compstruc.2013.02.003⟩
Journal articles hal-00839639v1
Image document

Uncertainty analysis in fault tree models with dependent basic events

Nicola Pedroni , Enrico Zio
Risk Analysis, 2013, 33 (6), pp.1146-1173
Journal articles hal-00839643v1
Image document

A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment

Yan-Fu Li , Nicola Pedroni , Enrico Zio
IEEE Transactions on Power Systems, 2013, pp.1-10
Journal articles hal-00777057v1
Image document

EMPIRICAL COMPARISON OF METHODS FOR THE HIERARCHICAL PROPAGATION OF HYBRID UNCERTAINTY IN RISK ASSESSMENT, IN PRESENCE OF DEPENDENCES

Nicola Pedroni , Enrico Zio
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012, 20 (4), pp.509-557. ⟨10.1142/S0218488512500250⟩
Journal articles hal-00839645v1
Image document

Monte Carlo Simulation-based Sensitivity Analysis of the model of a Thermal-Hydraulic Passive System

Enrico Zio , Nicola Pedroni
Reliability Engineering and System Safety, 2012, 107, pp.90-106. ⟨10.1016/j.ress.2011.08.006⟩
Journal articles hal-00658555v1

Subset Simulation of a reliability model for radioactive waste repository performance assessment

F. Cadini , D. Avram , Nicola Pedroni , Enrico Zio
Reliability Engineering and System Safety, 2012, 100, pp.75-83. ⟨10.1016/j.ress.2011.12.012⟩
Journal articles hal-00777659v1
Image document

How to effectively compute the reliability of a thermal-hydraulic nuclear passive system

Enrico Zio , Nicola Pedroni
Nuclear Engineering and Design, 2011, 241 (1), pp.310-327. ⟨10.1016/j.nucengdes.2010.10.029⟩
Journal articles hal-00609623v1
Image document

Estimation of the failure probability of a thermal-hydraulic passive system by means of Artificial Neural Networks and quadratic Response Surfaces

Enrico Zio , Nicola Pedroni , George Apostolakis
European Safety and RELiability (ESREL) 2010 Conference, 2010, pp.714 - 721
Journal articles hal-00721040v1
Image document

An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems

Enrico Zio , Nicola Pedroni
Reliability Engineering and System Safety, 2010, 95 (12), pp.1300-1313. ⟨10.1016/j.ress.2010.06.007⟩
Journal articles hal-00609180v1
Image document

Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped Artificial Neural Networks

Enrico Zio , George Apostolakis , Nicola Pedroni
Annals of Nuclear Energy, 2010, 37 (5), pp.639-649. ⟨10.1016/j.anucene.2010.02.012⟩
Journal articles hal-00609176v1
Image document

Estimation of cascade failure probability in electrical transmission networks by Subset Simulation

Enrico Zio , L. R. Golea , Nicola Pedroni , Giovanni Sansavini
European Safety and RELiability (ESREL) 2010 Conference, 2010, pp.694 - 698
Journal articles hal-00721038v1
Image document

Artificial Neural Networks and quadratic Response Surfaces for the functional failure analysis of a thermal-hydraulic passive system

George Apostolakis , Nicola Pedroni , Enrico Zio
Proceedings of the 10th International PSAM Conference, 2010, pp.1 - 12
Journal articles hal-00721042v1
Image document

Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal-hydraulic passive system

Nicola Pedroni , Enrico Zio , George Apostolakis
Reliability Engineering and System Safety, 2010, 95 (4), pp.386-395
Journal articles hal-00609171v1
Image document

Sensitivity analysis of the model of a nuclear passive system by means of Subset Simulation

Enrico Zio , Nicola Pedroni
Sixth International Conference on Sensitivity Analysis of Model Output, 2010, pp.7778-7779
Journal articles hal-00721041v1
Image document

Subset Simulation and Line Sampling for Advanced Monte Carlo Reliability Analysis

Enrico Zio , Nicola Pedroni
Proceedings of the European Safety and RELiability (ESREL) 2009 Conference, 2009, pp.687-694
Journal articles hal-00721047v1
Image document

Computation of Seismic Fragility Curves Using Artificial Neural Network Metamodels

Zhiyi Wang , Nicola Pedroni , Irmela Zentner , Enrico Zio
12th International Conference on Structural Safety and Reliability (ICOSSAR 2017), Aug 2017, Vienne, Austria. pp.1525-1534
Conference papers hal-01716960v1

A hierarchical tree-based decision making approach for assessing the trustworthiness of risk assessment models

Tasneem Bani-Mustafa , Nicola Pedroni , Enrico Zio , Dominique Vasseur , François Beaudouin
PSA 2017, Sep 2017, Pittsburgh, United States
Conference papers hal-01787101v1

Adaptive Artificial Neural Networks for Seismic Fragility Analysis

Zhiyi Wang , Zentner Irmela , Nicola Pedroni , Enrico Zio
ICSRS2017, Dec 2017, Milano, Italy
Conference papers hal-01787914v1
Image document

Dimensionality reduction of the resilience model of a critical infrastructure network by means of elementary effects sensitivity analysis

Pietro Turati , Nicola Pedroni , Enrico Zio
European Safety and RELiability Conference (ESREL) 2016, Sep 2016, Glasgow, United Kingdom. pp.2797-2804
Conference papers hal-01436629v1
Image document

Estimating the small failure probability of a nuclear passive safety system by means of an efficient Adaptive Metamodel-Based Subset Importance Sampling method

Nicola Pedroni , Enrico Zio
European Safety and Reliability Conference, ESREL 2015, Sep 2015, Zurich, Switzerland. pp.8
Conference papers hal-01176449v1
Image document

An entropy-driven method for exploring extreme and unexpected accident scenarios in the risk assessment of dynamic engineered systems

Pietro Turati , Nicola Pedroni , Enrico Zio
European Safety and Reliability Conference ESREL, Sep 2015, Zurich, Switzerland
Conference papers hal-01270954v1
Image document

Application of metamodel-based techniques for the efficient seismic analysis of structural systems

Elisa Ferrario , Nicola Pedroni , Enrico Zio , Fernando Lopez-Caballero
ESREL 2015, Sep 2015, Zurich, Switzerland. pp.1193-1200
Conference papers hal-01270627v1

Analysis of the robustness of critical infrastructures within a multistate systems-of-systems framework in the presence of epistemic uncertainties

Elisa Ferrario , Nicola Pedroni , Enrico Zio
Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2014) and Sixth International Symposium on Uncertainty, Modeling and Analysis (ISUMA2014), Jul 2014, Liverpool, United Kingdom
Conference papers hal-01238090v1
Image document

Optimal Capacity Allocation for a Failure Resilient Electrical Infrastructure

Yi-Ping Fang , Nicola Pedroni , Enrico Zio
DSM 2014, Jul 2014, Châtenay-Malabry, France. pp.197 - 207, ⟨10.3139/9781569904923.020⟩
Conference papers hal-01108228v1
Image document

Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures

Yi-Ping Fang , Nicola Pedroni , Enrico Zio
ICVRAM & ISUMA 2014, Jul 2014, Liverpool, United Kingdom. pp.725 - 735, ⟨10.1061/9780784413609.074⟩
Conference papers hal-01108227v1
Image document

Bayesian probabilistic analysis of a nuclear power plant small loss of coolant event tree model with possibilistic parameters

Chung-Kung Lo , Nicola Pedroni , Enrico Zio
Safety, Reliability and Risk Analysis, Beyond the Horizon, Proceedings of the European Safety and RELiability Conference (ESREL) 2013, 2013, Amsterdam, Netherlands. pp.3321-3328, ⟨10.1201/b15938-505⟩
Conference papers hal-01104385v1

Bayesian probabilistic analysis of a nuclear power plant small loss of coolant event tree model with possibilistic parameters

Chung-Kung Lo , Nicola Pedroni , Enrico Zio
ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.3321-3328
Conference papers hal-00913046v1
Image document

Bayesian update of the parameters of probability distributions for risk assessment in a two-level hybrid probabilistic-possibilistic uncertainty framework

Nicola Pedroni , Enrico Zio , Alberto Pasanisi , Mathieu Couplet
ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.1-8
Conference papers hal-00839962v1
Image document

Line sampling and Fuzzy Interval Analysis for the propagation of aleatory and epistemic uncertainties in risk models

Elisa Ferrario , Nicola Pedroni , Enrico Zio
ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.1-8
Conference papers hal-00838667v1
Image document

Propagation of aleatory and epistemic uncertainties in the model for the design of a flood protection dike

Nicola Pedroni , Enrico Zio , Elisa Ferrario , Alberto Pasanisi , Mathieu Couplet
PSAM 11 & ESREL 2012, Jun 2012, Helsinki, Finland. pp.1-10
Conference papers hal-00721090v1

Failure and Reliability Predictions by Infinite Impulse Response Locally Recurrent Neural Networks

Enrico Zio , Nicola Pedroni , L. R. Golea
CISAP-5, Jun 2012, Milan, Italy. pp.117-122
Conference papers hal-00777485v1
Image document

Monte Carlo and fuzzy interval propagation of hybrid uncertainties on a risk model for the design of a flood protection dike

Piero Baraldi , Nicola Pedroni , Enrico Zio , Elisa Ferrario , Alberto Pasanisi
ESREL 2011, Sep 2011, Troyes, France. pp.2167-2175
Conference papers hal-00658077v1
Image document

Knowledge-driven System Simulation for Scenario Analysis in Risk Assessment

Pietro Turati , Nicola Pedroni , Enrico Zio
Terje Aven, Enrico Zio. Knowledge in Risk Assessment and Management, John Wiley & Sons, Ltd, pp.165-219, 2017, 9781119317890. ⟨10.1002/9781119317906.ch8⟩
Book sections hal-01989144v1
Image document

Reliability Estimation by Advanced Monte Carlo Simulation

Enrico Zio , Nicola Pedroni
Faulin, Juan, Martorell, Ramirez-Marquez. Simulation Methods for Reliability and Availability of Complex Systems, Springer, pp.3-39, 2010, Springer Series in Reliability Engineering
Book sections hal-00609115v1