Professor Edoardo Patelli

Civil and Environmental Engineering

Personal statement

I am a Professor in Risk and Uncertainty Quantification and the Head of the Centre for Intelligent Infrastructure at the Department of Civil and Environmental Engineering. I am working in a 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), Chair of the Technical Committee for the 2019 and 2022 European Safety and Reliability Conference (ESREL), Member of the Committee on Probability and Statistics in the Physical Sciences (part of the Bernoulli Society), Academic Adviser to the Commonwealth Scholarship Commission and member of the UK Nuclear Innovation and Research Advisory Board (NIRAB). My current research interests are in:

  • Nuclear safety
  • Resilience Engineering for critical infrastructure
  • Digital twin and efficient simulation methods capable of managing and quantifying uncertainty
  • Developing trustful AI and Learning Algorithms for Imprecise and Bad Data
  • On-line monitoring tools for nuclear systems, Civil infrastructure and aerospace
  • Human Reliability analysis and interaction with autonomous systems
  • Risk communication
Cossan Software

Expertise

Has expertise in:

    • Uncertainty quantification
    • Bayesian and Credal Networks
    • Resilience assessment of complex infrastructures
    • Nuclear safety
    • Probabilistic risk assessment
    • Human reliability 

Publications

Distribution-free risk analysis
Gray Ander, Ferson Scott, Kreinovich Vladik, Patelli Edoardo
International Journal of Approximate Reasoning Vol 146, pp. 133-156 (2022)
https://doi.org/10.1016/j.ijar.2022.04.001
Robust optimization of a dynamic Black-box system under severe uncertainty : a distribution-free framework
Lye Adolphus, Kitahara Masaru, Broggi Matteo, Patelli Edoardo
Mechanical Systems and Signal Processing Vol 167 (2022)
https://doi.org/10.1016/j.ymssp.2021.108522
An efficient and robust sampler for Bayesian inference : Transitional Ensemble Markov Chain Monte Carlo
Lye Adolphus, Cicirello Alice, Patelli Edoardo
Mechanical Systems and Signal Processing Vol 167 (2022)
https://doi.org/10.1016/j.ymssp.2021.108471
Invited perspectives : challenges and future directions in improving bridge flood resilience
Tubaldi Enrico, White Christopher J, Patelli Edoardo, Mitoulis Stergios Aristoteles, de Almeida Gustavo, Brown Jim, Cranston Michael, Hardman Martin, Koursari Eftychia, Lamb Rob, McDonald Hazel, Mathews Richard, Newell Richard, Pizarro Alonso, Roca Marta, Zonta Daniele
Natural Hazards and Earth System Science Vol 22, pp. 795–812 (2022)
https://doi.org/10.5194/nhess-2021-293
Identification of human errors and influencing factors : a machine learning approach
Morais Caroline, Yung Ka Lai, Johnson Karl, Moura Raphael, Beer Michael, Patelli Edoardo
Safety Science Vol 146, pp. 105528 (2022)
https://doi.org/10.1016/j.ssci.2021.105528
Robust data-driven human reliability analysis using credal networks
Morais Caroline, Estrada-Lugo Hector Diego, Tolo Silvia, Jacques Tiago, Moura Raphael, Beer Michael, Patelli Edoardo
Reliability Engineering and System Safety Vol 218 (2022)
https://doi.org/10.1016/j.ress.2021.107990

More publications

Teaching

I am currently teaching:

  • Probability and statistics
  • Structural reliability 
  • Monte Carlo methods
  • Bayesian approaches 
  • FMEA, Fault Tree, Event Tree 

Research interests

My primary research interests focus on the general area of risk analysis, uncertainty modelling and quantification, sensitivity analysis, nuclear safety, reliability and availability of complex systems. In particular,  the focus is on the development of verified and efficient stochastic computational methods able to model different representation of the uncertainty and providing trustful reliability analysis and risk assessment.
The numerical implementations have resulted in the development of an open-source general-purpose software package for uncertainty quantification and stochastic analysis.

Professional activities

International Symposium on Reliability Engineering and Risk Management
Participant
4/9/2022
European Safety and Reliability Conference
Participant
28/8/2022
International Conference on Structural Safety & Reliability
Participant
21/6/2021
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (Journal)
Peer reviewer
2020
International Probabilistic Workshop
Participant
11/9/2019
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A - Civil Engineering (Journal)
Peer reviewer
1/5/2019

More professional activities

Projects

Low-cost sensor system for enhanced bridge flood resilience (TRIG)
Tubaldi, Enrico (Principal Investigator) Patelli, Edoardo (Co-investigator) White, Chris (Co-investigator)
01-Jan-2022 - 30-Jan-2022
Intelligent computational methods for sustainable and resilient infrastructure (Saltire Facilitator Network)
Patelli, Edoardo (Principal Investigator)
01-Jan-2021 - 30-Jan-2023
The Development of a Hybrid Empirical-Expert Opinion Model of the Vulnerability of the Scottish Road Network to Flooding
Ferguson, Neil (Principal Investigator) Patelli, Edoardo (Co-investigator) Tubaldi, Enrico (Co-investigator)
01-Jan-2021 - 31-Jan-2022
Urban and rural UAS-enabled health-care over Scotland CAELUS (ex URANOS)
Fossati, Marco (Principal Investigator) Akartunali, Kerem (Co-investigator) Burt, Graeme (Co-investigator) Cashmore, Michael (Co-investigator) Maddock, Christie (Co-investigator) Patelli, Edoardo (Co-investigator) Tapinos, Efstathios (Co-investigator) Vasile, Massimiliano (Co-investigator)
01-Jan-2020 - 31-Jan-2022
Doctoral Training Partnership 2020-2021 University of Strathclyde | Johnson, Karl
Patelli, Edoardo (Principal Investigator) Pytharouli, Stella (Co-investigator) Walls, Lesley (Co-investigator) Johnson, Karl (Research Co-investigator)
01-Jan-2020 - 01-Jan-2024
Evaluating the benefit of structural health monitoring for improving bridge resilience against scour - National Centre for Resilience (NCR)
Tubaldi, Enrico (Principal Investigator) Ferguson, Neil (Co-investigator) Patelli, Edoardo (Co-investigator)
01-Jan-2020 - 31-Jan-2021

More projects

Address

Civil and Environmental Engineering
James Weir Building

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