All Outputs (2106)

From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. (2025)
Presentation / Conference Contribution
ALGAIAR, M. 2025. From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley. Presented at the 16th Workshop of the Society of petrophysicists and well log analysts Saudi Arabia chapter 2025 (SPWLA-SAC 16th Workshop) , 7-8 May 2025, Al Khobar, Saudi Arabia.

This study synthesizes current research on lithium extraction, focusing on technological advances, the growing demand for lithium in the energy transition, and the environmental and social challenges associated with its production. It uses the Lithiu... Read More about From geothermal brine to battery: balancing technological innovation with environmental and social responsibility: a case study from Lithium Valley..

Assessing the research scene of green AI via bibliometric analysis. (2025)
Presentation / Conference Contribution
ABDULMALIK, M.R., IBEKE, E., EZENKWU, C.P. and IWENDI, C. [2025]. Assessing the research scene of green AI via bibliometric analysis. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 4th International conference on advances in communication technology and computer engineering (ICACTCE'24): transforming industries: harnessing the power of artificial intelligence and the internet of things, 29-30 November 2024, Marrakech, Morocco. Lecture notes in networks and systems (LNNS), 1313. Cham: Springer [online], volume 2, (forthcoming). To be made available from: https://link.springer.com/book/9783031946226

The environmental impact of artificial intelligence (AI) continues to rise as more people embrace the technology. The optimization of AI models to be more efficient, use less energy, and emit low carbon is essential. This bibliometric study presents... Read More about Assessing the research scene of green AI via bibliometric analysis..

Optimising public transport through the integration of micro and macro-level simulations. (2025)
Presentation / Conference Contribution
HAN, K., CHRISTIE, L.A., ZĂVOIANU, A.-C. and MCCALL, J.A.W. 2025. Optimising public transport through the integration of micro and macro-level simulations. In Quesada-Arencibia, A., Affenzeller, M. and Moreno-Díaz, R. (eds.) Computer aided systems theory - EUROCAST 2024: revised selected papers of the 19th International conference on Computer-aided systems theory (EUROCAST 2024), 25 February - 1 March 2024, Las Palmas de Gran Canaria, Spain. Lecture notes in computer science, 15172. Cham: Springer [online], part 1, pages 107-121. Available from: https://doi.org/10.1007/978-3-031-82949-9_10

The European Commission and the UK aim for net zero emissions in transportation by 2050. This work explores the potential of connected and autonomous vehicles (CAVs) to support this goal by enhancing public transport (PT) via strategic deployment wit... Read More about Optimising public transport through the integration of micro and macro-level simulations..

Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs. (2025)
Presentation / Conference Contribution
JAYAWARDENA, L., LIRET, A., WIRATUNGA, N., NKISI-ORJI, I. and FLEISCH, B. [2025]. Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs. In Proceedings of the 33rd International conference on case-based reasoning (ICCBR 2025), 30 June - 3 July 2025, Biarritz, France. Lecture notes in computer science, [volume to be confirmed]. Cham: Springer [online], (accepted).

The revision step in the Case-Based Reasoning (CBR) cycle ensures that cases are adaptable and that updates can be integrated meaningfully based on evaluation metrics. However, the effectiveness of this step heavily depends on how new knowledge is ac... Read More about Context driven multi-query resolution using LLM-RAG to support the revision of explainability needs..

Assuring privacy of AI-powered community driven Android code vulnerability detection. (2025)
Presentation / Conference Contribution
SENANAYAKE, J., KALUTARAGE, H., PIRAS, L., AL-KADRI, M.O. and PETROVSKI, A. 2025. Assuring privacy of AI-powered community driven Android code vulnerability detection. In Garcia-Alfaro, J., Kalutarage, H., Yanai, N. et al. (eds.) Computer security: ESORICS 2024 international workshops: revised selected papers from the proceedings of eleven international workshops held in conjunction with the 29th European Symposium on Research in Computer Security (ESORICS 2024), 16-20 September 2024, Bydgoszcz, Poland. Part II. Lecture notes in computer science, 15264. Cham: Springer [online], pages 457-476. Available from: https://doi.org/10.1007/978-3-031-82362-6_27

The challenge of training AI models is heightened by the limited availability of data, particularly when public datasets are insufficient. While obtaining data from private sources may seem like a viable solution, privacy concerns often prevent data... Read More about Assuring privacy of AI-powered community driven Android code vulnerability detection..

Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment. (2025)
Presentation / Conference Contribution
PIRIE, C., FERREIRA, L.A., COUTRIN, G.A.S., CARLINI, L.P., MORENO-GARCÍA, C.F., BARROS, M.C.M., GUINSBURG, R., THOMAZ, C.E., NOBRE, R. and WIRATUNGA, N. Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment. [2025]. To be presented at the 3rd World conference on eXplainable artificial intelligence 2025, 9-11 July 2025, Istanbul, Turkey.

Artificial Intelligence (AI) offers a promising approach to automating neonatal pain assessment, improving consistency and objectivity in clinical decision-making. However, differences between how humans and AI models perceive and explain pain-relate... Read More about Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment..

Hydrogen at RGU: expertise, projects and facilities. (2025)
Presentation / Conference Contribution
FAISAL, N. 2025. Hydrogen at RGU: expertise, projects and facilities. Presented at the 2025 All things hydrogen conference, 18 March 2025, Aberdeen, UK.

In this presentation Professor Nadimul Faisal highlights some of the hydrogen research projects being undertaken at Robert Gordon University to support the development of renewable hydrogen technologies needed to support the Scottish Government's amb... Read More about Hydrogen at RGU: expertise, projects and facilities..

AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A. (2025)
Presentation / Conference Contribution
ABEYRATNE, R., WIRATUNGA, N., MARTIN, K., NKISI-ORJ, I. and JAYAWARDENA, L. [2025]. AlignLLM: alignment-based evaluation using ensemble of LLMs-as judges for Q&A. In Case-based reasoning research and development: proceedings of the 33rd International conference on case-based reasoning 2025 (ICCBR 2025), 30 June - 3 July 2025, Biarritz, France. Lecture notes in computer science (LNCS), TBC. Cham: Springer [online], (forthcoming).

Evaluating responses generated by large language models (LLMs) is challenging in the absence of ground-truth knowledge, particularly in specialised domains such as law. Increasingly, LLMs themselves are used to evaluate the responses they generate; h... Read More about AlignLLM: alignment-based evaluation using ensemble of LLMs-as-judges for Q &A..

From pixels to perspectives: exploring perceptions of representation in character design. (2025)
Presentation / Conference Contribution
TANG, N.L., MOON, E.E., GARRIDO INIGUEZ, J.D.J., RAMIREZ, D.R.M. and GARDNER, D.L. 2025. From pixels to perspectives: exploring perceptions of representation in character design. Information research [online], 30(iCONF 2025): proceedings of the 20th International conference 2025 (iConf 2025): living in an AI-gorithmic world, 18-22 March 2025, Bloomington, ID, USA, pages 1180-1201. Available from: https://doi.org/10.47989/ir30iConf46939

This study presents findings about perceptions of how women characters are introduced in a sample of six best-selling games. Our analysis adds to ongoing conversations about representation in games and media, encouraging both designers and researcher... Read More about From pixels to perspectives: exploring perceptions of representation in character design..

MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images. (2025)
Presentation / Conference Contribution
ZONG, H., ZHANG, E., LI, X., ZHANG, H. and REN, J. 2025. MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images. In Proceedings of the 50th IEEE (Institute of Electrical and Electronics Engineers) International conference on acoustics, speech and signal processing 2025 (ICASSP 2025), 6-11 April 2025, Hyderabad, India. Piscataway: IEEE [online], article number 576. Available from: https://doi.org/10.1109/icassp49660.2025.10887943

Change detection in synthetic aperture radar (SAR) images is a hot yet highly challenging task in remote sensing. Existing unsupervised SAR change detection methods often struggle with inherent speckle noise and insufficiently utilize pseudo-labels,... Read More about MDDNet: multilevel difference-enhanced denoise network for unsupervised change detection in SAR images..

aiION: a machine learning approach to geothermal exploration. (2025)
Presentation / Conference Contribution
ALGAIAR, M.M. 2025. aiION: a machine learning approach to geothermal exploration. Presented at the 2025 Geothermal seminar (GEOTHERMAL 2025): gaining momentum, 26-27 February 2025, [virtual event].

Geothermal energy, a renewable resource derived from the Earth's subsurface, holds great promise for sustainable power generation. This research aimed to develop a data-driven geothermometer using supervised machine learning (ML) to predict subsurfac... Read More about aiION: a machine learning approach to geothermal exploration..

Materials challenges and opportunities in high-temperature steam electrolysis with geothermal heat. (2025)
Presentation / Conference Contribution
FAISAL, N. 2025. Materials challenges and opportunities in high-temperature steam electrolysis with geothermal heat. Presented at the 2025 Geothermal: gaining momentum, 26-27 February 2025, Aberdeen, UK: [virtual event].

High-temperature steam is critical in many industrial processes and applications, including energy production (e.g., water splitting through solid oxide steam electrolysis (SOSE) leading to hydrogen production). Coupling of SOSE with geothermal heat... Read More about Materials challenges and opportunities in high-temperature steam electrolysis with geothermal heat..

Designing gender-inclusive sustainability curricula in engineering education. (2025)
Presentation / Conference Contribution
OKOYEAGU, C.J., OKPU, A., ESSIET, R. and ONOSHAKPOR, C. 2025. Designing gender-inclusive sustainability curricula in engineering education. Presented at the 9th International conference on research in education, teaching and learning 2025 (ICETL 2025), 21-23 February 2025, Milan, Italy.

Incorporating sustainability into engineering education is essential for tackling global environmental issues. Nonetheless, the persistent gender imbalance in engineering remains a significant obstacle to achieving equitable and sustainable outcomes.... Read More about Designing gender-inclusive sustainability curricula in engineering education..

Embedding sustainability in engineering education: empowering students with knowledge and skills for a sustainable future. (2025)
Presentation / Conference Contribution
OKOYEAGU, C.J., OKPU, A., ESSIET, R. and ELDESSOUKY, H. 2025. Embedding sustainability in engineering education: empowering students with knowledge and skills for a sustainable future. Presented at the 9th International conference on research in education, teaching and learning 2025 (ICETL 2025), 21-23 February 2025, Milan, Italy.

Integrating sustainability into engineering disciplines is essential for preparing students to tackle the complex environmental, social, and economic issues of the 21st century. This paper examines the significance of incorporating sustainability int... Read More about Embedding sustainability in engineering education: empowering students with knowledge and skills for a sustainable future..

DataDRILL: resilience testbed for industrial cyber-physical systems. (2025)
Presentation / Conference Contribution
ARIFEEN, M., KOTENKO, I., PETROVSKI, A. and HASSARD, P. 2025. DataDRILL: resilience testbed for industrial cyber-physical systems. In Proceedings of the 17th International conference on communication systems and networks 2025 (COMSNETS 2025), 6-10 January 2025, Bengaluru, India. Piscataway: IEEE [online], pages 1195-1200. Available from: https://doi.org/10.1109/COMSNETS63942.2025.10885712

Testbeds and datasets are essential tools used in experimental work, risk assessment and validation of industrial cyber-physical systems (CPS) with the capability of seamless automation and control. Due to complexity of real CPS and the criticality o... Read More about DataDRILL: resilience testbed for industrial cyber-physical systems..

DevSecOps implementation for continuous security in financial trading software application development. (2025)
Presentation / Conference Contribution
DASANAYAKE, S.D.L.V., SENANAYAKE, J. and WIJAYANAYAKE, W.M.J.I. 2025. DevSecOps implementation for continuous security in financial trading software application development. In Proceedings of the 25th International conference on advanced research in computing 2025 (ICARC 2025): converging horizons: uniting disciplines in computing research through AI innovation, 19-20 February 2025, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 457-462. Available from: https://doi.org/10.1109/ICARC64760.2025.10963292

DevSecOps incorporates security into the DevOps workflow, ensuring robust protection throughout the software development lifecycle. This research addresses the security gaps in financial trading applications, where traditional methods often prioritiz... Read More about DevSecOps implementation for continuous security in financial trading software application development..

Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models. (2025)
Presentation / Conference Contribution
GAYANTHA, N., RAJAPAKSE, C. and SENANAYAKE, J. 2025. Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models. In Proceedings of the 25th International conference on advanced research in computing 2025 (ICARC 2025): converging horizons: uniting disciplines in computing research through AI innovation, 19-20 February 2025, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 386-391. Available from: https://doi.org/10.1109/icarc64760.2025.10963190

Distributed Denial of Service (DDoS) attacks are a critical threat to the security and reliability of Software-Defined Networking (SDN) environments. Existing datasets for training machine learning (ML) models, such as KDDCup '99 and CICIDS 2017, are... Read More about Customizable DDoS attack data generation in SDN environments for enhanced machine learning detection models..

Hydrogen at RGU: innovation and supporting it existing ecosystem (Hy-ONE and other projects). (2025)
Presentation / Conference Contribution
FAISAL, N. 2025. Hydrogen at RGU: innovation and supporting its existing ecosystem (Hy-ONE and other projects). Presented at Scotland's hydrogen innovation network (SHINe) webinar: using innovation to overcome hydrogen barriers, 11 February 2025, [virtual event].

At this SHINe webinar Professor Nadimul Faisal give a presentation detailing the research into hydrogen, its production, storage, utilisation and integration, which is being undertaken at Robert Gordon University. This includes the Hy-One project wh... Read More about Hydrogen at RGU: innovation and supporting it existing ecosystem (Hy-ONE and other projects)..

Plastic waste over the ocean: an approach to surface recognition. (2025)
Presentation / Conference Contribution
SHAH, F.M., FOUGH, F., SHAH, Z.M., FOUGH, N. and ZHAO, Y. 2024. Plastic waste over the ocean: an approach to surface recognition. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], article 10849157. Available from: https://doi.org/10.1109/ICECS61496.2024.10849157

To address the challenges of low detection accuracy and slow recognition of floating objects on water surfaces, an enhanced YOLOv5 algorithm has been developed. This improved algorithm incorporates a coordinate attention mechanism to enhance spatial... Read More about Plastic waste over the ocean: an approach to surface recognition..

Data systems education: curriculum recommendations, course syllabi, and industry needs. (2025)
Presentation / Conference Contribution
MIEDEMA, D., TAIPALUS, T., AJANOVSKI, V.V., ALAWINI, A., GOODFELLOW, M., LIUT, M., PELTSVERGER, S. and YOUNG, T. 2024. Data systems education: curriculum recommendations, course syllabi, and industry needs. In Proceedings of the ITiCSE 2024: 2024 Working group reports on innovation and technology in computer science education (ITiCSE-WGR 2024), 8-10 July 2024, Milan, Italy. New York: ACM [online], pages 95-123. Available from: https://doi.org/10.1145/3689187.3709609

Data systems have been an important part of computing curricula for decades, and an integral part of data-focused industry roles such as software developers, data engineers, and data scientists. However, the field of data systems encompasses a large... Read More about Data systems education: curriculum recommendations, course syllabi, and industry needs..