|Phone||+39 0110904419 / 4419 (DENERG)|
|Scientific branch||ING-IND/19 - IMPIANTI NUCLEARI
(Area 0009 - Ingegneria industriale e dell'informazione)
|Publications||PORTO@IRIS - Publications Open Repository TOrino|
Curriculum file (252 KB)|
Nicola Pedroni (B.Sc. Energy Engineering, 2003; M.Sc. and Ph.D. Nuclear Engineering, 2005 and 2010, all from Politecnico di Milano) is an Associate Professor in Nuclear Power Plants at the Energy Department of Politecnico di Torino (Torino, Italy). Before, he has been a (temporary) Associate Professor at the Elctricit de France (EDF) Chair System Science & Energetic Challenge at cole CentraleSuplec, Universit Paris-Saclay (Chatenay-Malabry, France) (January 1, 2016-April 1, 2017) and an assistant professor in the same university (March 1, 2013-December 31, 2015). During his Ph.D., he visited the Department of Nuclear Science and Engineering of the Massachusetts Institute of Technology (September 2008-May 2009). In March 2018, he received the (Italian) National Academic Qualification to be a Full Professor in the Scientific Disciplinary Area of Thermodynamics and Nuclear Engineering. In February 2016, he received the (French) Academic Habilitation to Direct the Research in the Scientific Sector Engineering Informatics, Automatics and Signal Processing and, in February 2017, the corresponding qualification to be a Full Professor. 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 (e.g., industrial installations such as nuclear systems and critical infrastructures such as power transmission networks), in presence of uncertainties; in particular: - advanced Monte Carlo simulation methods for the uncertainty and sensitivity analysis of physical-mathematical models of complex engineering systems (with the particular objective of efficiently estimating small failure probabilities of highly reliable systems); - advanced computational methods for the Integrated Deterministic and Probabilistic Safety Assessment (IDPSA) of complex, dynamic engineering systems; - theories and methods for modelling and simulating the behaviour of power transmission networks and interdependent critical infrastructures in general, with the particular objective of performing risk, vulnerability and resilience analyses (for example, complex network theory, graph theory, power flow models); - theories and methods for the quantitative representation and propagation of aleatory and epistemic uncertainties through physical-mathematical models (e.g., Probability, Evidence, Fuzzy and Possibility Theories); - soft-computing techniques for empirical regression modelling (e.g., classical feed-forward and dynamic recurrent Artificial Neural Networks), with the main objective of reducing the computational burden associated to the risk analysis of complex engineering systems modelled by long-running computer codes; - heuristic techniques for solving nonlinear, constrained optimization problems (e.g., Genetic Algorithms). He is co-author of 43 papers on international journals, 28 papers on proceedings of international conferences, 5 chapters in international books and 5 works published as technical reports of international research institutes. He has served as referee more than 20 international journals.