Outputs (84)

Andromeda: A model-connected framework for safety assessment and assurance (2024)
Journal Article
Retouniotis, A., Papadopoulos, Y., & Sorokos, I. (2025). Andromeda: A model-connected framework for safety assessment and assurance. Journal of Systems and Software, 220, Article 112256. https://doi.org/10.1016/j.jss.2024.112256

Safety is a key factor in the development of critical systems, encompassing both conventional types, such as aircraft, and modern technologies, such as autonomous vehicles. Failures during their operation can be potentially far-reaching and impact pe... Read More about Andromeda: A model-connected framework for safety assessment and assurance.

Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study (2024)
Journal Article
Paxton, K., Aslansefat, K., Thakker, D., & Papadopoulos, Y. (2024). Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study. IEEE Internet Computing, 28(5), 11-19. https://doi.org/10.1109/MIC.2024.3450815

As machine learning is increasingly making decisions about hiring or healthcare, we want AI to treat ethnic and socioeconomic groups fairly. Fairness is currently measured by comparing the average accuracy of reasoning across groups. We argue that im... Read More about Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study.

Exploring Creation and Curation as Steps Towards a Gamification of the Arts Through Game Engines (2024)
Thesis
Torrao, L. C. Exploring Creation and Curation as Steps Towards a Gamification of the Arts Through Game Engines. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4736049

Game engines enable the creation of novel applications that can enhance how art is created and presented and provide new tools to artists. This thesis presents study, research, and development within the frontiers between the arts and computer scienc... Read More about Exploring Creation and Curation as Steps Towards a Gamification of the Arts Through Game Engines.

Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance (2023)
Presentation / Conference Contribution
Walker, C., Rothon, C., Aslansefat, K., Papadopoulos, Y., & Dethlefs, N. (2024, February). Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance. Presented at Safety Critical Systems Symposium SSS'24, Bristol, UK

It has been forecasted that a quarter of the world's energy usage will be supplied from Offshore Wind (OSW) by 2050 (Smith 2023). Given that up to one third of Levelised Cost of Energy (LCOE) arises from Operations and Maintenance (O&M), the motive f... Read More about Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance.

Addressing Complexity and Intelligence in Systems Dependability Evaluation (2023)
Thesis
Aslansefat, K. Addressing Complexity and Intelligence in Systems Dependability Evaluation. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4500562

Engineering and computing systems are increasingly complex, intelligent, and open adaptive. When it comes to the dependability evaluation of such systems, there are certain challenges posed by the characteristics of “complexity” and “intelligence”. T... Read More about Addressing Complexity and Intelligence in Systems Dependability Evaluation.

Safety-Security Co-Engineering Framework (2023)
Report
Aslansefat, K., Gerasimou, S., Hamibi, H., Matragkas, N., Michalodimitrakis, E., Papadopoulos, Y., Papoutsakis, M., & Walker, M. (2023). Safety-Security Co-Engineering Framework. European Commission

Executive Summary:
The advantages of a model-based approach for safety have been clear for many years now. However, security analysis is typically less formal and more ad-hoc; it may involve systematic processes but these are not generally tied into... Read More about Safety-Security Co-Engineering Framework.

Safety Analysis Concept and Methodology for EDDI development (Initial Version) (2023)
Report
Aslansefat, K., Gerasimou, S., Michalodimi-trakis, E., Papoutsakis, M., Reich, J., Sorokos, I., Walker, M., & Papadopoulos, Y. (2023). Safety Analysis Concept and Methodology for EDDI development (Initial Version). European Comission

Executive Summary:
This deliverable describes the proposed safety analysis concept and accompanying methodology to be defined in the SESAME project. Three overarching challenges to the development of safe and secure multi-robot systems are identifie... Read More about Safety Analysis Concept and Methodology for EDDI development (Initial Version).

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms (2022)
Journal Article
Walker, C., Rothon, C., Aslansefat, K., Papadopoulos, Y., & Dethlefs, N. (2022). A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. Lecture notes in computer science, 13525 LNCS, 189-203. https://doi.org/10.1007/978-3-031-15842-1_14

With an increasing emphasis on driving down the costs of Operations and Maintenance (O &M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and applications of Deep Learning (DL) to the domain. Condition-based monit... Read More about A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms.

Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems (2021)
Journal Article
Aslansefat, K., Kabir, S., Abdullatif, A., Vasudevan Nair, V., & Papadopoulos, Y. (2021). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer, 54(8), 66-76

The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relativel... Read More about Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems.

A novel approach based on stochastic hybrid fault tree to compare alternative flare gas recovery systems (2021)
Journal Article
Khodayee, S. M., Chiacchio, F., & Papadopoulos, Y. (2021). A novel approach based on stochastic hybrid fault tree to compare alternative flare gas recovery systems. IEEE Access, 9, 51029-51049. https://doi.org/10.1109/ACCESS.2021.3069807

Flaring has always been an inseparable part of oil production and exploration. Previously, waste gas collected from different parts of facilities was released for safety or operational reasons and combusted on top of a flare stack since there was not... Read More about A novel approach based on stochastic hybrid fault tree to compare alternative flare gas recovery systems.