Professor Edoardo Patelli

Civil and Environmental Engineering

Personal statement

In oder to achieve a step change in the way the design, development and maintains complex structures and systems it is necessary to effectively characterize and quantify the unavoidable uncertainties. This allows to take riks-informed decision, design robust and resilient systems able to cope with the current challenges. 

The quantification of uncertainty and the design of efficient and resilient systems capable of recovering from catastrophe is a requirement of numerous industries. Often researchers and practitioners in different disciplines use different languages to describe essentially similar techniques. There is a need of  effective strategies and technologies that respond to the current and future needs of our society, and build resilience across the wide range of the industrial sectors. 

By adopting virtual engineering frameworks (e.g. digital twin) and exploiting the capability of efficient and reliable computational strategies supported by machine learning and artificial intelligence we can now understand the behavior of complex real world problems, effectively design maintain and managing them. reducing the overall risks involved.

I am working on computational science and engineering since more than 20 years. I started developing stochastic models for the assessment of disposal of radioactive waste. Then, I have developed efficient simulation techniques for high fidelity analysis and reliability analysis of computational expensive model and complex systems with applications in different sectors including Civil, Nuclear and Aerospace. I have a deep understand and knowledge of the current challenges (and opportunities) in computation and simulation techniques and the need for verified and reliable tools.

I am working in a truly multidisciplinary environment in collaboration with members from all the university faculties and strong link with world leading scholars across the world. I am the Chair of the Technical Committee on Simulation for Safety and Reliability Analysis of the European Safety and Reliability Association (ESRA) and Chair of the Technical Committee for the 2019 European Safety and Reliability Conference (ESREL) conference. I am working actively with UK industry including Wood, Airbus, ARUP, EdF UK, AWE,  CCFE and National Nuclear Laboratory. 

 In order to translate the recent development to practicians and industry we are continuosly developing a suite of computational tools:  \href{}{COSSAN software},


Robust propagation of probability boxes by interval predictor models
Sadeghi Jonathan, de Angelis Marco, Patelli Edoardo
Structural Safety Vol 82 (2020)
Pseudo credal networks for inference with probability intervals
Estrada-Lugo Hector Diego, Tolo Silvia, De Angelis Marco, Patelli Edoardo
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering Vol 5 (2019)
On the robust estimation of small failure probabilities for strong non-linear models
Faes Matthias, Sadeghi Jonathan, Broggi Matteo, Angelis Marco de, Patelli Edoardo, Beer Michael, Moens David
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering Vol 5 (2019)
Bayesian network approach to fault diagnosis of a hydroelectric generation system
Xu Beibei, Li Huanhuan, Pang Wentai, Chen Diyi, Tian Yu, Lei Xiaohui, Gao Xiang, Wu Changzhi, Patelli Edoardo
Energy Science and Engineering Vol 7, pp. 1669-1677 (2019)
Efficient training of interval neural networks for imprecise training data
Sadeghi Jonathan, de Angelis M, Patelli Edoardo
Neural Networks Vol 118, pp. 338-351 (2019)
Extending the survival signature paradigm to complex systems with non-repairable dependent failures
George-Williams Hindolo, Feng Geng, Coolen Frank PA, Beer Michael, Patelli Edoardo
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Vol 233, pp. 505-519 (2019)

more publications

Professional activities

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A - Civil Engineering (Journal)
Peer reviewer

more professional activities


Development of a decision support system for the management of infrastructure
Tubaldi, Enrico (Principal Investigator) Patelli, Edoardo (Co-investigator) Quigley, John (Co-investigator)
06-Jan-2020 - 05-Jan-2022
A resilience modelling framework for improved nuclear safety (NuRes) (Edoardo Patelli)
Patelli, Edoardo (Principal Investigator)
01-Jan-2019 - 30-Jan-2021
Doctoral Training Partnership 2018-19 University of Strathclyde | MacDonald , Euan
Tubaldi, Enrico (Principal Investigator) Patelli, Edoardo (Co-investigator) White, Chris (Co-investigator) MacDonald, Euan (Research Co-investigator)
01-Jan-2019 - 01-Jan-2022

more projects


Civil and Environmental Engineering
James Weir Building

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