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The intersection of datafication and data justice in higher education (2025)
Presentation / Conference Contribution
Fabian, K. (2025, October). The intersection of datafication and data justice in higher education. Presented at Connecting Space, Data and Society: Interdisciplinary Pathways, London

There has been an increasing uptake of technology in the classroom, either for teaching or for classroom management purposes. Along with this uptake is the increasing datafication of education. Datafication is the process of rendering social and natu... Read More about The intersection of datafication and data justice in higher education.

A Bespoke Framework for Proportionate BIM Implementation in SMEs (2025)
Presentation / Conference Contribution
Jaradat, S., Deakin, M., Strachan, D., & King, J. (2025, May). A Bespoke Framework for Proportionate BIM Implementation in SMEs. Presented at The 11th International Congress on Architectural Technology, Alicante, Spain

Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective (2025)
Presentation / Conference Contribution
Ikediashi, D., Walker, C., & Jaradat, S. (2024, September). Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective. Presented at The Fourteenth International Conference on Construction in the 21st Century (CITC-14), Rio De Janeiro, Brazil

The recent successes made at the 28th Conference of Parties (COP) held in Dubai is a testament that governments globally are committed to combating climate change. United Kingdom is no different and its various devolved powers have made carbon reduct... Read More about Barriers to achieving net zero sustainability target for Edinburgh City: private property owners’ perspective.

Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios (2025)
Presentation / Conference Contribution
Huang, Z., Liu, X., Romdhani, I., & Shih, C.-S. (2024, August). Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios. Presented at The 7th International Conference on Information Science and Systems (ICISS 2024), Edinburgh, UK

This research presents a groundbreaking approach to Building Maintenance Management (BMM) by introducing an Intelligent Process Automation (IPA)-Driven Building Maintenance Management (IBMM) model. This innovative model harnesses the synergies betwee... Read More about Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios.

Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes (2025)
Presentation / Conference Contribution
Luo, L., Cruickshank, P., Chita, P., & Richards, K. (2024, November). Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes. Presented at The Barcelona Conference on Education (BCE2024), Barcelona, Spain

Introduction: Internationalisation at Home (IaH) is a new trend in Internationalisation of Higher Education (IoHE). Starting with China’s emergence as a major international education player, the study evaluates the student experience of IaH in two Ch... Read More about Internationalisation-at-home in Chinese Universities: Contradictions and Potential Changes.

A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification (2025)
Presentation / Conference Contribution
Abubakar, M. A., Onyeashie, B. I., Wadhaj, I., Leimich, P., Ali, H., & Buchanan, W. J. (2024, November). A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification. Presented at 6th International Conference on Blockchain Computing and Applications (BCCA 2024), Dubai, UAE

This study provides a comprehensive overview of blockchain technology, discusses its characteristics, and explains the hierarchical structure of the blockchain. Additionally, the study provides an in-depth analysis of various security threats and vul... Read More about A Systematic Review of the Blockchain Technology Security Challenges and Threats Classification.

Stalling in Space: Attractor Analysis for any Algorithm (2025)
Presentation / Conference Contribution
Thomson, S. L., Renau, Q., Vermetten, D., Hart, E., van Stein, N., & Kononova, A. V. (2025, April). Stalling in Space: Attractor Analysis for any Algorithm. Paper presented at EvoStar 2025, Trieste, Italy

Network-based representations of fitness landscapes have grown in popularity in the past decade; this is probably because of growing interest in explainability for optimisation algorithms. Local optima networks (LONs) have been especially dominant in... Read More about Stalling in Space: Attractor Analysis for any Algorithm.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model (2025)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2025, April). Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. Presented at EvoSTAR 2025, Trieste, Italy

Recent approaches to training algorithm selectors in the black-box optimisation domain have advocated for the use of training data that is 'algorithm-centric' in order to encapsulate information about how an algorithm performs on an instance, rather... Read More about Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model.

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing (2025)
Presentation / Conference Contribution
Sim, K., Hart, E., & Renau, Q. (2025, April). Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. Presented at EvoSTAR 2025, Trieste, Italy

Coupling Large Language Models (LLMs) with Evolutionary Algorithms has recently shown significant promise as a technique to design new heuristics that outperform existing methods, particularly in the field of combinatorial optimisation. An escalating... Read More about Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing.

Into the Black Box: Mining Variable Importance with XAI (2025)
Presentation / Conference Contribution
Hunter, K., Thomson, S. L., & Hart, E. (2025, April). Into the Black Box: Mining Variable Importance with XAI. Presented at Evostar 2025, Trieste, Italy

Recent works have shown that the idea of mining search spaces to train machine learning models can facilitate increasing understanding of variable importance in optimisation problems. However , so far, the problems studied have typically either been... Read More about Into the Black Box: Mining Variable Importance with XAI.

An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation (2025)
Presentation / Conference Contribution
Stone, C., Renau, Q., Miguel, I., & Hart, E. (2024, June). An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. Presented at 18th Learning and Intelligent Optimization Conference, Ischia, Italy

We address the question of multi-task algorithm selection in combinatorial optimisation domains. This is motivated by a desire to simplify the algorithm-selection pipeline by developing a more general classifier that does not require specialised info... Read More about An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation.

Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization (2025)
Presentation / Conference Contribution
Karakaya, S. S., Sarı, T., Ak, E., Canberk, B., & Seçinti, G. (2024, September). Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization. Presented at 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Valencia, Spain

Coordinated beamforming is one of the crucial improvements for WiFi7. However, to provide sufficient Quality of Service, the corresponding beams have to be aligned accurately. Conventional approaches search for optimal beams in the available codebook... Read More about Beam Alignment for IEEE 802.11be Powered by Task Oriented Indoor UWB Localization.

In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene (2024)
Presentation / Conference Contribution
Panneels, I., Philips, R., Dhakal, S., Chitrakar, A., & Chitrakar, S. (2024, September). In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene. Presented at Futuring Craft, Indian Ocean Triennial (IOTA24), Perth, Australia

This paper considers material based making practices as found in the traditional handicraft, contemporary crafts practices and design innovation communities in Nepal. Using case studies from the Road to COP26 Innovation Programme and In Our Hands pro... Read More about In Our Hands: Nepali Nature inspired climate solutions in the Anthropocene.

Participatory Explorations in the Techno-Spiritual (2024)
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development (2024)
Presentation / Conference Contribution
Tungli, T., & Meharg, D. (2024, September). Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh, UK

The inclusion of students with disabilities in tertiary education is rising globally, however research on their participation in out-of-classroom activities remains limited. This paper investigates the significance of out-of-classroom engagement for... Read More about Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development.

U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries (2024)
Presentation / Conference Contribution
Alcock, K. M., Goh, K., Beg, M., Melendi-Espina, S., & Hernaez, M. (2024, September). U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries. Poster presented at 2024 Frontiers in Optics + Laser Science meeting, Denver, Colorado , USA

This study develops a Polyethylenimine/Graphene Oxide thin film-based Lossy Mode Resonance U-shaped optical fiber sensor for lithium-ion battery temperature measurement. The study encourages further development of this device further as it compares w... Read More about U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries.

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification (2024)
Presentation / Conference Contribution
Hasan, M. N., Toma, R. N., Jan, S. U., & Koo, I. (2024, October). Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification. Presented at 2024 15th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea

In the data analytics based IoT era, reliable sensor data is essential for maintaining the integrity and effectiveness of IoT applications. The reliability of sensor data can be compromised due to faults that that occur in the sensors and this faulty... Read More about Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification.