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All Outputs (175)

Protecting visual data privacy in offshore industry via underwater image inpainting. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., CHEN, R. and ZHAO, H. 2024. Protecting visual data privacy in offshore industry via underwater image inpainting. In Proceedings of the 9th International conference on image, vision and computing 2024 (ICIVC 2024), 15-17 July 2024, Suzhou, China. Piscataway: IEEE [online], pages 281-286. Available from: https://doi.org/10.1109/ICIVC61627.2024.10837433

Leveraging advanced artificial intelligence (AI) methodologies offers the advantage of incorporating multiple expert viewpoints, thereby facilitating a more comprehensive inspection of underwater infrastructure. However, the implementation of AI tech... Read More about Protecting visual data privacy in offshore industry via underwater image inpainting..

Improving the methods of description of building works in the UK. (2024)
Presentation / Conference Contribution
HUSSEY, H. and ATANASOV, V. 2024. Improving the methods of description of building works in the UK. In Thomson, C. and Neilson, C.J. (eds.) Proceedings of the 40th Association of Researchers in Construction Management annual conference 2024 (ARCOM 2024): looking back to move forward, 2-4 September 2024, London, UK. London: ARCOM [online], pages 509-518. Available from: https://www.arcom.ac.uk/-docs/archive/2024-Indexed-Papers.pdf

Since 1922, methods and rules of measurement have been developed to address the continual need to describe and quantify building work in the UK and revised to adapt to changes in industry practices and materials, yet not all changes have been address... Read More about Improving the methods of description of building works in the UK..

Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., ONOSHAKPOR, C., MAHON, R. and OKPU, A. 2024. Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Global challenges, such as climate change and scarcity of resources, require engineers who can innovate, think critically, and collaborate across societies. This study investigates the role of Collaborative Online International Learning (COIL) in bri... Read More about Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development..

Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., MAHON, R., OKPU, A. and CHIMA-AMAESHI, N. 2024. Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

The underrepresentation of women in engineering remains a significant challenge despite years of efforts to address gender disparities in STEM fields. This paper examines both the retention and advancement of women in engineering, exploring key strat... Read More about Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields..

Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective. (2024)
Presentation / Conference Contribution
MAHON, R. and ABOLLE-OKOYEAGU, C.J. 2024. Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Despite numerous initiatives to increase the representation of women in engineering, it remains a global challenge and priority agenda within the UK engineering industry, professional bodies, and academic institutions. This paper explores the complex... Read More about Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective..

Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship. (2024)
Presentation / Conference Contribution
MAHON, R., ABOLLE-OKOYEAGU, C.J. and IYALLA, I. 2024. Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Successfully delivering on the UK's Net Zero challenge requires a highly skilled workforce. This is in direct response to the UK Government's British Energy Security Strategy (2022) which targets 50 GW of offshore wind, 10 GW of hydrogen and up to 30... Read More about Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship..

A novel ensemble aggregation method based on deep learning representation. (2024)
Presentation / Conference Contribution
NGUYEN, T.T., ELYAN, E., DANG, T., NGUYEN, T.T. and LONGMUIR, M. 2025. A novel ensemble aggregation method based on deep learning representation. In Antonacopoulos, A., Chaudhuri, S., Chellappa, R., et al. (eds.) Pattern recognition: proceedings of the 27th International conference on pattern recognition, 01-05 December 2024, Kolkata, India. Lecture notes in computer science, 15324. Cham: Springer [online], pages 31-46. Available from: https://doi.org/10.1007/978-3-031-78383-8_3

We propose a novel ensemble aggregation method by using a deep learning-based representation approach. Specifically, we applied the Cross-Validation procedure on training data with a number of learning algorithms to obtain the predictions for trainin... Read More about A novel ensemble aggregation method based on deep learning representation..

A dominance-based surrogate classifier for multi-objective evolutionary algorithms. (2024)
Presentation / Conference Contribution
BANDA, T.M. and ZĂVOIANU, A.-C. 2025. A dominance-based surrogate classifier for multi-objective evolutionary algorithms. In Bramer, M. and Stahl, F. (eds.) Artificial Intelligence XLI: proceedings of the 44th SGAI (Specialist Group on Artificial Intelligence) International conference on artificial intelligence 2024 (AI 2024), 17-19 December 2024, Cambridge, UK. Lecture notes in computer science, 15446. Cham: Springer [online], part I, pages 268-281. Available from: https://doi.org/10.1007/978-3-031-77915-2_19

The application of Multi-Objective Evolutionary Algorithms (MOEAs) is often constrained when addressing computationally expensive Multi-Objective Optimisation Problems (MOOPs). To mitigate this, we propose a dominance-based surrogate classifier that... Read More about A dominance-based surrogate classifier for multi-objective evolutionary algorithms..

Explaining a staff rostering problem using partial solutions. (2024)
Presentation / Conference Contribution
CATALANO, G.A.P.I., BROWNLEE, A.E.I., CAIRNS, D., MCCALL, J.A.W., FYVIE, M. and AINSLIE, R. 2025. Explaining a staff rostering problem using partial solutions. In Bramer, M. and Stahl, F. (eds) Artificial intelligence XLI: proceedings of the 44th SGAI (Specialist Group on Artificial Intelligence) International conference on artificial intelligence 2024 (AI 2024), 17-19 December 2024, Cambridge, UK. Lecture notes in computer science, 15447. Cham: Springer [online], part II, pages 179-193. Available from: https://doi.org/10.1007/978-3-031-77918-3_13

There are many critical optimisation tasks that metaheuristic approaches have been shown to be able to solve effectively. Despite promising results, users might not trust these algorithms due to their intrinsic lack of interpretability. This paper de... Read More about Explaining a staff rostering problem using partial solutions..

From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition. (2024)
Presentation / Conference Contribution
MAHON, R. and OLUYEMI, G. 2024. From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition. Presented at the 10th Sand Management Network Euroforum 2024, 27-28 November 2024, Aberdeen, UK.

Carbon capture and storage (CCS) can play a pivotal role in decarbonising various hard-to-abate sectors and support an enabling environment to achieve the global energy transition to a more sustainable and low-carbon future. CO2 injection into geolog... Read More about From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition..

The specialist antimicrobial pharmacist: scope of practice and training in the UK. (2024)
Presentation / Conference Contribution
TONNA, A. 2024. The specialist antimicrobial pharmacist: scope of practice and training in the UK. Presented at the 3rd Masterpharm conference, 2nd module (Masterpharm 2024 - ii modulo): modelli integrati a confronto dall'Italia al mondo, 20-22 November 2024, Turin, Italy.

This presentation covers: the role of UK pharmacists; pharmacist education and training (especially in regards to independent prescribing); One Health and antimicrobial stewardship; examples of pharmacist involvement in antimicrobial stewardship; and... Read More about The specialist antimicrobial pharmacist: scope of practice and training in the UK..

Development and implementation of an applied professional development module for final year undergraduate students. (2024)
Presentation / Conference Contribution
BURGESS, K.E. and MAUGHAN, P. 2024. Development and implementation of an applied professional development module for final year undergraduate students. Presented at the 1st Staffordshire Centre of Learning and Pedagogic Practice international pedagogic conference (SCoLPP 2024): it's scholarly but it's real: using phenomenon based learning to future-proof effective learning in higher education, 20-21 November 2024, [online event].

This presentation reflects on a new applied professional development module, which aimed to enhance students' professional self-awareness and reflective practice, and to develop specific areas of their professional skills. The module was found to hel... Read More about Development and implementation of an applied professional development module for final year undergraduate students..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning. (2024)
Presentation / Conference Contribution

Antimicrobial resistance (AMR) poses a serious threat to public health and serves as a vital reservoir for resistant microorganisms. Antimicrobial resistance (AMR) is an increasingly critical public health issue that requires precise and efficient me... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning..

Economy and community as bottom-up drivers for design: creating coordinating dashboards for architectural design. (2024)
Presentation / Conference Contribution
SMETS, M., VISSERS-SIMILON, E. and DOUNAS, T. 2024. Economy and community as bottom-up drivers for design: creating coordinating dashboards for architectural design. In Kontovourkis, O., Phocas, M.C. and Wurzer, G. (eds.) Proceedings of the 42nd International conference on education and research in computer aided architectural design in Europe 2024 (eCAADe 2024): data-driven intelligence, 09-13 September 2024, Nicosia, Cyprus. Brussels: eCAADe [online], 2, pages 505-514. Available from: https://doi.org/10.52842/conf.ecaade.2024.2.505

In our paper, we show that, from an economic and environmental point of view, neighbourhoods could benefit from a circular architectural design approach, as creating an actual circular economy and community asks for more organisation than purely spat... Read More about Economy and community as bottom-up drivers for design: creating coordinating dashboards for architectural design..

Towards a decentralized physical infrastructure for additive manufacturing in architecture: a proof of concept for a tamper proof, secure connection between designs, blockchains and 3d printers. (2024)
Presentation / Conference Contribution
DOUNAS, T., BERDOS, Y. and VELE, J. 2024. Towards a decentralized physical infrastructure for additive manufacturing in architecture: a proof of concept for a tamper proof, secure connection between designs, blockchains and 3d printers. In Kontovourkis, O., Phocas, M.C. and Wurzer, G. (eds.) Proceedings of the 42nd International conference on education and research in computer aided architectural design in Europe 2024 (eCAADe 2024): data-driven intelligence, 09-13 September 2024, Nicosia, Cyprus. Brussels: eCAADe [online], 2, pages 495-504. Available from: https://doi.org/10.52842/conf.ecaade.2024.2.495

We introduce a promising proof of concept: a blockchain to additive manufacturing pilot prototype. In this paper we focus on developing the functional cyberphysical prototype of the smart contracts running on a blockchain, orchestrating the workflow... Read More about Towards a decentralized physical infrastructure for additive manufacturing in architecture: a proof of concept for a tamper proof, secure connection between designs, blockchains and 3d printers..

Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes. (2024)
Presentation / Conference Contribution
FATUKASI O.S., ABOLLE-OKOYEAGU, J., PRATHURU, A. and SOLADEMI, O. 2024. Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes. Presented at the 12th Annual conference of Society of structural integrity and life (DIVK12), 17-19 November 2024, Belgrade, Serbia.

External impacts represent a prevalent source of structural damage in pipes/piping systems. Detecting and identifying the nature, and the severity of these impacts would enhance the reliability and operational safety of such critical infrastructure.... Read More about Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes..

Ship detection and identification for maritime security and safety based on IMO numbers using deep learning. (2024)
Presentation / Conference Contribution
KHAN, M.M.H., LIU, Z., PRABHU, R., ZHENG, H. and JAVIED, A. 2024. Ship detection and identification for maritime security and safety based on IMO numbers using deep learning. In Bouma, H., Prabhu, R., Yitzhahy, Y. and Kuijf, H.J. (eds.) Advanced materials, biomaterials, and manufacturing technologies for security and defence II: proceedings of the 2024 SPIE Security + defence, 16-20 September 2024, Edinburgh, UK. Proceedings of SPIE, 13206. Bellingham, WA: SPIE [online], paper 1320608. Available from: https://doi.org/10.1117/12.3031425

In marine safety and security, the ability to rapidly, autonomously, and accurately detect and identify ships is the highest priority. This study presents a novel approach using deep learning to accurately identify ships based on their International... Read More about Ship detection and identification for maritime security and safety based on IMO numbers using deep learning..

Adaptive path-planning for AUVs in dynamic underwater environments using sonar data. (2024)
Presentation / Conference Contribution
B, B., HASAN, M.J., KANNAN, S. and PRABHU, R. 2024. Adaptive path-planning for AUVs in dynamic underwater environments using sonar data. In Bouma, H., Prabhu, R., Yitzhahy, Y. and Kuijf, H.J. (eds.) Advanced materials, biomaterials, and manufacturing technologies for security and defence II: proceedings of the 2024 SPIE Security + defence, 16-20 September 2024, Edinburgh, UK. Proceedings of SPIE, 13206. Bellingham, WA: SPIE [online], paper 1320616. Available from: https://doi.org/10.1117/12.3031644

This paper presents an innovative approach to path-planning for Autonomous Underwater Vehicles (AUVs) in complex underwater environments, leveraging single-beam sonar data. Recognizing the limitations of traditional sonar systems in providing detaile... Read More about Adaptive path-planning for AUVs in dynamic underwater environments using sonar data..

Optimization of illumination for security hologram authentication. (2024)
Presentation / Conference Contribution
VIJITH, V.A., GEORGE, A., AMBADIYIL, S., JHA, A.K. and PRABHU, R. 2024. Optimization of illumination for security hologram authentication. In Bouma, H., Prabhu, R., Yitzhahy, Y. and Kuijf, H.J. (eds.) Advanced materials, biomaterials, and manufacturing technologies for security and defence II: proceedings of the 2024 SPIE Security + defence, 16-20 September 2024, Edinburgh, UK. Proceedings of SPIE, 13206. Bellingham, WA: SPIE [online], paper 1320618. Available from: https://doi.org/10.1117/12.3034230

Security holograms, diffractive optical elements known for their intricate 3D visuals, are a cornerstone of brand protection. However, their effectiveness hinges on robust authentication methods. This work explores the critical role of illumination i... Read More about Optimization of illumination for security hologram authentication..

Enhancing underwater situational awareness: RealSense camera integration with deep learning for improved depth perception and distance measurement. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., HASAN, M.J. and KANNAN, S. 2024. Enhancing underwater situational awareness: RealSense camera integration with deep learning for improved depth perception and distance measurement. In Bouma, H., Prabhu, R., Yitzhaky, Y. and Kuijf, H.J. (eds.) Artificial intelligence for security and defence applications II: proceedings of the 2024 SPIE Security + defence, 16-20 September 2024, Edinburgh, UK. Proceedings of SPIE, 13206. Bellingham, WA; SPIE [online], paper 1320605. Available from: https://doi.org/10.1117/12.3030972

This work presents a depth image refinement technique designed to enhance the usability of a commercial camera in underwater environments. Stereo vision-based depth cameras offer dense data that is well-suited for accurate environmental understanding... Read More about Enhancing underwater situational awareness: RealSense camera integration with deep learning for improved depth perception and distance measurement..