All Outputs (188)

From assistance to misconduct: unpacking the complex role of generative AI in student learning. (2024)
Presentation / Conference Contribution
AXELSSON, A., WALLGREN, D.T., VERMA., U., CAJANDER, Å., DANIELS, M., ECKERDAL, A. and MCDERMOTT, R. 2024. From assistance to misconduct: unpacking the complex role of generative AI in student learning. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2024), 13-16 October 2024, Washington, DC, USA. Piscataway: IEEE [online], article number 10893133. Available from: https://doi.org/10.1109/FIE61694.2024.10893133

This research-to-practice full paper discusses students' views on the role of generative artificial intelligence (GenAI) in their learning. The rapid integration of GenAI in educational settings has prompted significant interest in its implications f... Read More about From assistance to misconduct: unpacking the complex role of generative AI in student learning..

Assessing faculty perceptions of a pass/fail grading model in CS1. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., MCDERMOTT, R., MCGOWAN, J. and YOUNG, T. 2024. Assessing faculty perceptions of a pass/fail grading model in CS1. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2024), 13-16 October 2024, Washington, DC, USA. Piscataway: IEEE [online], article number 10893076. Available from: https://doi.org/10.1109/fie61694.2024.10893076

This Innovative Practice Full Paper outlines the findings of a survey conducted at the Robert Gordon University (Scotland, UK), focusing on feedback from faculty members and reflections subsequent to the introduction of a Pass/Fail grading system in... Read More about Assessing faculty perceptions of a pass/fail grading model in CS1..

Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. (2024)
Presentation / Conference Contribution
STEWART, C., FOUGH, F., FOUGH, N. and PRABHU, R. 2024. Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848718. Available from: https://doi.org/10.1109/ICECS61496.2024.10848718

Among many challenges in establishing an Underwater Wireless Sensor Network, is the challenge of resource constraints, battery and bandwidth being limited which renders acoustic networks limited in life and application. One identified application of... Read More about Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers..

A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells. (2024)
Presentation / Conference Contribution
LAWAL, S.M., VALIZADEH, S. and FOUGH, N. 2024. A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848762. Available from: https://doi.org/10.1109/ICECS61496.2024.10848762

One of the most popular materials used is the wafer-based crystalline silicon (c-Si) solar cells that are dominant in the technology of the global PV market. In this paper, a 3D finite element method in COMSOL Multiphysics was used to simulate a crys... Read More about A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells..

Efficiency analysis of RbGeBr3 perovskite solar cell with inorganic HTL and silver contact. (2024)
Presentation / Conference Contribution
VALIZADEH, S., LAWAL, S.M., FOUGH, N. and SHOKRI, A.A. 2024. Efficiency analysis of RbGeBr₃ perovskite solar cell with inorganic HTL and silver contact. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848711. Available from: https://doi.org/10.1109/ICECS61496.2024.10848711

This research investigated the use of RbGeBr as an absorbing layer in two different types of perovskite solar cells. The study involved deliberate modifications to the thickness of the RbGeBr absorber layer. Silver was chosen for the metal contact el... Read More about Efficiency analysis of RbGeBr3 perovskite solar cell with inorganic HTL and silver contact..

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..

Exponential degradation model based remaining life prediction for tools of milling machine. (2024)
Presentation / Conference Contribution
ARIFEEN, M., PETROVSKI, A., HASAN, M.J. and AHMAD, Z. 2024. Exponential degradation model based remaining life prediction for tools of milling machine. In Kovalev, S., Kotenko, I., Sukhanov, A., Li, Y. and Li Y. (eds.) Proceedings of the 8th Intelligent information technologies for industry international scientific conference (IITI'24), 1-7 November 2024, Harbin, China. Lecture notes in networks and systems, 1209. Cham: Springer [online], volume 1, pages 355-365. Available from: https://doi.org/10.1007/978-3-031-77688-5_34

Cutting tools of milling machines are prone to failure, and it is essential to predict their remaining useful life to ensure cost-effective maintenance in the manufacturing industry. Recent studies have shown that deep learning techniques can effecti... Read More about Exponential degradation model based remaining life prediction for tools of milling machine..

Insider threat detection within operational technology using digital twins. (2024)
Presentation / Conference Contribution
PETROVSKI, A., KOTENKO, I., ARIFEEN, M., ABRAMENKO, G. and SOBOLEV, P. 2024. Insider threat detection within operational technology using digital twins. In Kovalev, S., Kotenko, I., Sukhanov, A., Li, Y. and Li Y. (eds.) Proceedings of the 8th Intelligent information technologies for industry international scientific conference (IITI'24), 1-7 November 2024, Harbin, China. Lecture notes in networks and systems, 1210. Cham: Springer [online], volume 2, pages 25-34. Available from: https://doi.org/10.1007/978-3-031-77411-9_3

Managing unintentional insider threat is a growing challenge in digital industries because the biggest threat to operational technologies (OT) originates internally, irrespective of the type or size of the organisation. Data breaches and other advanc... Read More about Insider threat detection within operational technology using digital twins..

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..

Ethical implications of Gen-AI and LLMs in computing education. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., GOODFELLOW, M., LIASKOS, K. and YOUNG, T. 2024. Ethical implications of Gen-AI and LLMs in computing education. In Proceedings of the 1st Association for Computing Machinery virtual global computing education conference (SIGCSE Virtual 2024), 5-8 December 2024, [virtual event]. New York: ACM [online], volume 2, pages 293-294. Available from: https://doi.org/10.1145/3649409.3691074

The panel convenes five educators to discuss the ethical implications of utilising Generative AI (Gen-AI) and Large Language Models (LLMs) in computing education. Their expertise spans various domains, including organising national workshops on the i... Read More about Ethical implications of Gen-AI and LLMs in computing education..

Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L. and YAPA, P. 2024. Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. In Zhou, K. (ed.) Computational and experimental simulations in engineering: proceedings of the 30th International conference on computational and experimental engineering and sciences 2024 (ICCES 2024), 3-6 August 2024, Singapore. Mechanisms and machine science, 173. Cham: Springer [online], volume 2, pages 258-281. Available from: https://doi.org/10.1007/978-3-031-77489-8_20

Paraphrasing, the art of rephrasing text while retaining its original meaning, lies at the core of natural language understanding and generation. With the rise of demand for more domain-specialized models, high-quality data is more valued than ever;... Read More about Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge..

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, 1-5 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..

Emotional intelligence workshop. (2024)
Presentation / Conference Contribution
TABIB, M. and STEVENSON, G. 2024. Emotional intelligence workshop. Presented at the 2024 Scotland maternity and midwifery festival, 26 November 2024, Edinburgh, UK. Hosted on Vimeo [online]. Available from: https://vimeo.com/1033510204

Emotional intelligence refers to the ability to recognise and manage your emotions, and to recognise emotions in others with a view to building relationships. In this presentation, the authors provide an overview of how they have developed various em... Read More about Emotional intelligence workshop..