All Outputs (2141)

No land is an island, even actual islands: servitudes' benefits and burdens in Scottish law. (2025)
Presentation / Conference Contribution
ODUSANYA, T. 2025. No land is an island, even actual islands: servitudes' benefits and burdens in Scottish law. Presented at the Meeting of the Dundee Law School Scottish Property Law Discussion Group, 30 April 2025, Dundee, UK.

This presentation reflects on the treatment of land ownership rights and law within the context of Scotland. It focuses in particular on "servitudes", i.e. legal rights that allow one property to benefit from another.

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..

Integrating large language models for automated vulnerability scanning and reporting in network hosts. (2025)
Presentation / Conference Contribution
SANDARUWAN, M.T., WIJAYANAYAKE, J. and SENANAYAKE, J. 2025. Integrating large language models for automated vulnerability scanning and reporting in network hosts. In Proceedings of the 8th International research conference on Smart computing and systems Engineering 2025 (SCSE 2025), 3 April 2025, Colombo, Sri Lanka. Piscataway: IEEE [online], pages 1-7. Available from: https://doi.org/10.1109/SCSE65633.2025.11031059

This research explores integrating Large Language Models (LLMs) like GPT-4 and Claude 3.5 into cybersecurity vulnerability scanning to enhance automation and effectiveness. Current tools' reliance on manual updates and human expertise is highlighted.... Read More about Integrating large language models for automated vulnerability scanning and reporting in network hosts..

Assessing security vulnerabilities in Sri Lankan banking mobile applications: challenges and solutions. (2025)
Presentation / Conference Contribution
RAVICHANDRAN, L., PIYUMANTHA, K., WICKRAMASINGHE, W.S., WEERASINGHE, M. and SENANAYAKE, J. 2025. Assessing security vulnerabilities in Sri Lankan banking mobile applications: challenges and solutions. In Proceedings of the 8th International research conference on Smart computing and systems Engineering 2025 (SCSE 2025), 3 April 2025, Colombo, Sri Lanka. Piscataway: IEEE [online], pages 1-6. Available from: https://doi.org/10.1109/SCSE65633.2025.11031031

Mobile banking plays a crucial role in Sri Lanka's financial sector, offering convenience through self-service technologies. Despite its rapid adoption, concerns about security continue to affect customer trust, underscoring the critical need for enh... Read More about Assessing security vulnerabilities in Sri Lankan banking mobile applications: challenges and solutions..

DroidKey: a practical framework and analysis tool for API key security in Android applications. (2025)
Presentation / Conference Contribution
PIYUMANTHA, K., SENANAYAKE, J. and WIJAYASIRIWARDHNE, K. 2025. DroidKey: a practical framework and analysis tool for API key security in android applications. In Proceedings of the 8th International research conference on Smart computing and systems Engineering 2025 (SCSE 2025), 3 April 2025, Colombo, Sri Lanka. Piscataway: IEEE [online], pages 1-6. Available from: https://doi.org/10.1109/SCSE65633.2025.11030956

The reliance on mobile applications has amplified concerns about Application Programming Interface (API) key security in Android platforms. Serving as essential authentication mechanisms, API keys ensure secure communication with external services. H... Read More about DroidKey: a practical framework and analysis tool for API key security in Android applications..

Enhancing network intrusion detection with stacked deep and reinforcement learning models. (2025)
Presentation / Conference Contribution
KALPANI, N., RODRIGO, N., SENEVIRATNE, D., ARIYADASA, S. and SENANAYAKE, J. 2025. Enhancing network intrusion detection with stacked deep and reinforcement learning models. In Proceedings of the 8th International research conference on Smart computing and systems Engineering 2025 (SCSE 2025), 3 April 2025, Colombo, Sri Lanka. Piscataway: IEEE [online], pages 1-7. Available from: https://doi.org/10.1109/SCSE65633.2025.11031023

This study investigates the effectiveness of Ensemble Learning (EL) techniques by integrating reproducible Deep Learning (DL) and Reinforcement Learning (RL) models to enhance network intrusion detection. Through a systematic review of the literature... Read More about Enhancing network intrusion detection with stacked deep and reinforcement learning models..

Advanced DDoS attack detection and mitigation in software-defined networking (SDN) environments: an integrated machine learning approach. (2025)
Presentation / Conference Contribution
GAYANTHA, N., RAJAPAKSE, C. and SENANAYAKE, J. 2025. Advanced DDoS attack detection and mitigation in software-defined networking (SDN) evironments: an integrated machine learning approach. In Proceedings of the 8th International research conference on Smart computing and systems Engineering 2025 (SCSE 2025), 3 April 2025, Colombo, Sri Lanka. Piscataway: IEEE [online], pages 1-6. Available from: https://doi.org/10.1109/SCSE65633.2025.11030982

The increasing sophistication of Distributed Denial of Service (DDoS) attacks poses critical challenges to network security, necessitating advanced detection and mitigation strategies. This research presents a machine learning-based framework that ef... Read More about Advanced DDoS attack detection and mitigation in software-defined networking (SDN) environments: an integrated machine learning approach..

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. [2025]. Understanding disagreement between humans and machines in XAI: robustness, fidelity, and region-based explanations in automatic neonatal pain assessment. 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..

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..

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..

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..