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A project to deploy drone swarms  capable of autonomous inspection in offshore windfarms. In partnership with Airborne Robotics and Bluelark

A Future Transport Zone trial programme, funded by the Department for Transport (DfT), that aims to help make journeys easier, smarter and greener.

A project which aims to improve the quality of diagnosis and treatment of localized cancers by developing a new medical robot prototype for brachytherapy and biopsy under guidance of MRI

This project aims to prepare the Arctic and North-Atlantic region for security and safety threats, including traffic through the Northern passages, cruise traffic, and offshore oil and gas activity

An Automatic Arctic Sea Vessel Anomaly Detection (AI-ARC) project, funded by the European Commission.

A cross-disciplinary project, helping investigators to make better judgements about the value of information from interviews and intelligence. Funded by ESRC and CREST (Centre of Research and Evidence of Security Threats), in collaboration with a subcontracted software development company (Polaris Consulting). 

Karar, A. N., Labib, A., & Jones, D. (2023). In: International Journal of Production Economics, 255, 108702.

This paper aims to assist asset owners in selecting the equipment maintenance package at the warranty termination time; it proposes the shape package process (SPP), which represents a comprehensive process that facilitates the choice between multiple packages, considering the cost and risk associated with each package.

Labib, A., Chakhar, S., Hope, L., Shimell, J., & Malinowski, M. (2022). In: Journal of the Association for Information Science and Technology, 73(12), 1755-1775.

This paper reports on a series of validation trials in which the performance of individual and team-oriented analysts was accessed with respect to their effectiveness and efficiency.

Labib, A., Abdi, M. R., Hadleigh-Dunn, S. & Yazdani, M. (2022). In: Decision Making: Applications in Management and Engineering. 5, 1, p. 113-134 22 p.

The researchers design a framework for organizational learning from major incidents through root cause analysis The case studies contain a purely industrial disaster (Bhopal) and a mixed industrial-natural disaster (Fukushima). 

Jones, D., Labib, A., Willis, K. O., Costello, J., Ouelhadj, D., Ikonen, E. & Dominguez.Cainzos, M., (2022, Early online). In: European Journal of Operational Research.

The paper provides a methodology for the mapping and prioritization of needs for research and innovation across a multi-disciplinary topic area. The methodology is applied to needs arising from the field of Arctic maritime safety and security. 

Jones, D., Firouzy, S., Labib, A., & Argyriou, A. V. (2022). In: European Journal of Operational Research, 297(2), 652-664.

This paper presents a multi-criteria methodology for allocating a small number of novel robotic devices to a set of potential treatment centres in the South of the UK.

Karar, A. N., Labib, A., & Jones, D. F. (2021). In: Journal of Quality in Maintenance Engineering.

This paper's main objective is to design a comprehensive framework for an agile asset performance management (AAPM) system that sustains the desired asset performance by reacting efficiently, quickly and intelligently to the changes in the operating context parameters and asset health conditions.

Rivera, G., Yunusa-Kaltungo, A., & Labib, A. (2021). In: Safety and Reliability (Vol. 40, No. 3, pp. 130-156). Taylor & Francis.

This paper applies a hybrid method of framework tools to a long-established pattern of small to medium chronic failures in a large Oil & Gas organisation

Yazdani, M., Mohammed, A., Bai, C., & Labib, A. (2021). In: Expert Systems with Applications, 184, 115517.

This paper proposes a novel fuzzy group multiple-criteria decision-making approach through integrating triangular fuzzy hesitant sets (TFHS), Failure Mode and Effect Analysis (FMEA) and combined compromise solution (CoCoSo) algorithm.

Ghaith, A., Ma, H., & Labib, A. W. (2021). In: International Journal of Quality & Reliability Management

This research intendz to understand how High-Reliability Organizations (HROs) could produce high quality performance despite their challenging and demanding contexts.

Iglesias-Mendoza, M., Yunusa-Kaltungo, A., Hadleigh-Dunn, S., & Labib, A. (2021). In: Sustainability, 13(4), 2030.

The paper investigates how to train emergency response teams on coping with, and learning from, rare events; a major challenge to other practitioners in the fields of safety and risk management.

Khalil, J., & Labib, A. W. (2021). In: International Journal of Quality & Reliability Management.

The purpose of this paper is to construct a fuzzy logic model that acts as a decision support system to minimize inventory-related costs in the field of industrial maintenance.