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Publications

Cangul Ozcel, Rocchetta Roberto,

Energy Reports Vol 15 (2026)

Xiang ChangSheng, Zhao Hua, Wu GuoJi, Chen LiJuan, ,

Structural Health Monitoring, pp. 1-28 (2026)

, Moura Raphael,

Proceedings of the 36th European Safety and Reliability Conference European Safety and Reliability Conference (2026)

, Morais Caroline,

Reliability Engineering and System Safety Vol 264 (2025)

, Estrada-Lugo Hector Diego, Ferson Scott,

Digitalisation and Digital Transformation Communications in Computer and Information Science, pp. 113–118 (2025)

MacDonald E, ,

Stochastic Environmental Research and Risk Assessment Vol 39, pp. 2789-2816 (2025)

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

Participant

7/2/2025

Participant

30/1/2025

Peer reviewer

1/8/2024

Host

1/1/2024

Associate Editor

30/6/2023

Keynote/plenary speaker

14/6/2023

Projects

Dethlef, Nina (Principal Investigator) Kamranzad, Bahareh (Co-investigator) Patelli, Edoardo (Co-investigator) Carroll, James (Co-investigator)

Europe requires a seven-fold expansion of offshore wind (OSW) capacity by 2030 to achieve its ambitious net zero goals. Meeting this target in a way that is safe, resilient and sustainable requires new turbine structures but also solutions to bottlenecks in grid and port infrastructure, streamlined regulatory processes and optimisation of socio-economic benefits for coastal communities. Co-existence adds further complexity through OSW interactions with fisheries, sea users and marine ecosystems, where long-term impacts remain poorly understood. Artificial Intelligence (AI) has potential to enable transformative change to OSW site planning and logistics, impact assessment and workforce training. It can inform processes to overcome barriers across regulation, infrastructure, and coexistence. However, with growing automation of operational infrastructure, new vulnerabilities arise. Cybersecurity risks, such as external model manipulation, data theft, and unsafe agent behaviour, pose threats to turbines, grids, and autonomous vessels, and could undermining energy security. AI’s own environmental footprint has also come under scrutiny, highlighting the need for low-cost, energy-efficient algorithms. Moreover, climate change introduces deep uncertainty for OSW design and operations through shifts in wind patterns, rising sea levels, and intensifying storms that can complicate energy yield forecasts, structural health monitoring, and vessel access. AI can support adaptation by downscaling climate models, forecasting extreme events, and embedding risk-aware learning into digital twins. This COST Action convenes a balanced, inclusive, geographically-diverse network of experts. By highlighting gaps in data, knowledge, regulation, and best practice, it will create roadmaps towards safe, sustainable, digitally-enabled OSW growth and strengthen Europe’s OSW leadership.

Funding: €140K per year (duration: 4 years)

19-Jan-2026 - 18-Jan-2030

Karvounis, Panagiotis (Principal Investigator) Theotokatos, Gerasimos (Co-investigator) Boulougouris, Evangelos (Co-investigator) Patelli, Edoardo (Co-investigator) Ward, Michael (Co-investigator)

£39,964.61

01-Jan-2026 - 31-Jan-2027

Theotokatos, Gerasimos (Principal Investigator) Boulougouris, Evangelos (Co-investigator) Patelli, Edoardo (Co-investigator) Ward, Michael (Co-investigator)

01-Jan-2026 - 31-Jan-2026

Patelli, Edoardo (Principal Investigator) Fossati, Marco (Co-investigator) Basu, Tathagata (Research Co-investigator)

01-Jan-2026 - 31-Jan-2026

Patelli, Edoardo (Principal Investigator) Hamilton, Andrea (Co-investigator) Vinitha Jose, Jittu (Research Co-investigator)

01-Jan-2025 - 01-Jan-2029

Patelli, Edoardo (Principal Investigator)

Student - Innes O'Donnell

01-Jan-2025 - 30-Jan-2027