Fundamentals of Quantitative Risk Assessment Course

Advanced Quantitative Risk & Resilience Assessment Course


Department of Energy, Politecnico di Milano www.energia.polimi.it

Laboratory of Analysis of Signals and Analysis of Risk (LASAR) www.lasar.polimi.it

Energy Data and Information Lab (EDILAB)


ESRA (European Safety and Reliability Association) www.esrahomepage.eu


ARAMIS Srl, Milano, Italy www.aramis3d.com

Cluster S2D2 (Cluster Security, Safety, Defense, Disaster Management and Recovery) of Politecnico di Milano

CRESCI (Center for Reliability and Safety of Critical Infrastructures), Beihang University, Beijing, China

IEEE – Reliability Society, Italian Chapter

Kyung Hee University, Department of Nuclear Engineering, College of Engineering, Republic of Korea

MINES ParisTech, PSL Research University, CRC, Sophia Antipolis, France 


The LASAR (Laboratory of Signal Analysis and Risk Analysis) within the department of Energy of the Politecnico di Milano brings has expertise on Probabilistic Reliability and Safety Analysis of complex systems operating in stationary or dynamic conditions, Monte Carlo simulation modelling of the processes of failure, repair, ageing, maintenance, renovation of components, within the Reliability Availability Maintenance Safety (RAMS), dependability and resilience analysis of mechanical, aerospace, chemical, energy systems, Computational Intelligence (neural networks, genetic algorithms and fuzzy logic) for the multi-objective optimal design, operation and logistic management of complex systems, and for the identification, simulation and control of physical, chemical and thermal-hydraulic processes, with application in early fault detection, diagnostics and prognostics.