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Dynamic service of geographically dispersed time-sensitive demands (2024)
Journal Article
de Jong, N., Aslan, A., & Bakir, I. (2024). Dynamic service of geographically dispersed time-sensitive demands. Transportation Research Part C : Emerging Technologies, 163, Article 104625. https://doi.org/10.1016/j.trc.2024.104625

This paper presents a new framework that models the novel dynamic vehicle dispatch problem with holding costs (DVDPHC), which focuses on serving stochastic demands at geographically dispersed locations in a timely manner. This framework is applicable... Read More about Dynamic service of geographically dispersed time-sensitive demands.

Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2 (2024)
Presentation / Conference Contribution
Samson, R., Goh, K., Sankarraj, A., Gkanatsios, A., & Yu, H. (2023, September). Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2. Presented at 2023 International Conference on Innovation of Communication and Information Technology (ICIEICT 2023), Madrid, Spain

This paper examines the opportunities to apply industry 4.0 technology to practical applications, with a specific focus on sustainability and resource efficiency in industrial environments. The main objective of this paper is to design and implement... Read More about Power Consumption Analysis For Smarter Robotics Via Industry 4.0 Methods And Technologies RS HYu V2.

Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks (2024)
Presentation / Conference Contribution
K, S. S. K., Vasantha, G., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks. Presented at IDETC-CIE International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington, DC

Occupational accidents in manufacturing industries pose a significant risk, necessitating advanced strategies to ensure worker safety and enhance operational productivity. The unpredictable nature of worker movements, influenced by varied tasks such... Read More about Safer and Efficient Factory by Predicting Worker Trajectories using Spatio-Temporal Graph Attention Networks.

Mapping so-called ‘anti-gender’ discourses in parliamentary and media debates: lessons and recommendations in the future fight for LGBTIQ+ equalities. (2024)
Presentation / Conference Contribution
Kulpa, R. (2024, May). Mapping so-called ‘anti-gender’ discourses in parliamentary and media debates: lessons and recommendations in the future fight for LGBTIQ+ equalities. Presented at UCU Equality Research Conference 2024, University of Manchester, UK

Anti-feminist and anti-LGBTIQ+ mobilisations have taken roots transnationally, denying individuals autonomy, rights to bodily integrity, and self-determination, and attacking selected groups of people (e.g. trans* people, people doing abortion) in or... Read More about Mapping so-called ‘anti-gender’ discourses in parliamentary and media debates: lessons and recommendations in the future fight for LGBTIQ+ equalities..

Optimal DC link voltage stabilisation technique for a grid-connected PV system (2024)
Presentation / Conference Contribution
Khan, T., Kahwash, F., Ahmed, J., & Goh, K. (2024, September). Optimal DC link voltage stabilisation technique for a grid-connected PV system. Paper presented at ECCE Europe 2024, Darmstadt, Germany

The integration and utilisation of renewable energy resources (RES) have seen significant growth due to increased demand and environmental concerns. These RES resources are often integrated through a DC link. The stability and maintaining the DC link... Read More about Optimal DC link voltage stabilisation technique for a grid-connected PV system.

Generating AI Alternatives: collaborating and creating intersections (2024)
Presentation / Conference Contribution
Drumm, L., Beetham, H., Cronin, C., & McIlwhan, R. (2024, May). Generating AI Alternatives: collaborating and creating intersections. Presented at Fourteenth International Conference on Networked Learning, University of Malta, Valetta, Malta

May 2024 finds us eighteen months on since the release into the wild of unregulated generative AI models and their chatbot front-ends. While Higher Education (HE) has been playing catch-up in terms of policy and regulation (e.g. Russell Group 2023, C... Read More about Generating AI Alternatives: collaborating and creating intersections.

Menstrual Cycle and Hormonal Contraceptive Symptom Severity and Frequency in Athletic Females (2024)
Journal Article
Kiemle-Gabbay, L. R., Valentin, S., Martin, D., & Forrest (née Whyte), L. J. (2024). Menstrual Cycle and Hormonal Contraceptive Symptom Severity and Frequency in Athletic Females. Women in Sport and Physical Activity Journal, 32(S1), https://doi.org/10.1123/wspaj.2023-0086

The purpose of this study was to determine symptom severity and frequency in female exercisers and athletes from a diverse range of sports who have a menstrual cycle (MC) or use hormonal contraceptives (HCs). An additional aim was to explore the perc... Read More about Menstrual Cycle and Hormonal Contraceptive Symptom Severity and Frequency in Athletic Females.

The Presidents of the Institute of Wood Science (2024)
Journal Article
True, A., Ridley-Ellis, D., Spear, M., & Ansell, M. P. (in press). The Presidents of the Institute of Wood Science. International Wood Products Journal, https://doi.org/10.1177/20426445241246844

The Institute of Wood Science (IWSc) represented the interests and knowledge of wood scientists and wood technologists in the UK and beyond between 1955 and 2009 when it merged with the Institute of Materials, Minerals and Mining (IOM3). In that time... Read More about The Presidents of the Institute of Wood Science.

Abusive supervision in commercial kitchens: Insights from the restaurant industry (2024)
Journal Article
Taheri, B., Thompson, J., Mistry, T., Okumus, B., & Gannon, M. (2024). Abusive supervision in commercial kitchens: Insights from the restaurant industry. International Journal of Hospitality Management, 120, Article 103789. https://doi.org/10.1016/j.ijhm.2024.103789

This mixed-method study investigates how abusive supervision and bullying impact job satisfaction and turnover intentions among employees in an environment plagued by ingrained incivility: commercial kitchens. Underpinned by social learning theory, w... Read More about Abusive supervision in commercial kitchens: Insights from the restaurant industry.

Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains (2024)
Journal Article
Marrero, A., Segredo, E., Leon, C., & Hart, E. (online). Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains. Evolutionary Computation, https://doi.org/10.1162/evco_a_00350

Gathering sufficient instance data to either train algorithm-selection models or understand algorithm footprints within an instance space can be challenging. We propose an approach to generating synthetic instances that are tailored to perform well w... Read More about Synthesising Diverse and Discriminatory Sets of Instances using Novelty Search in Combinatorial Domains.

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.

Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain (2024)
Journal Article
Oliver, P. G. (online). Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain. DIY, Alternative Cultures & Society, https://doi.org/10.1177/27538702241251886

This study investigates the evolving role of do-it-yourself (DIY) artists in the context of digital transformation , analyzing the delicate balance between maintaining artistic integrity and achieving economic sustainability in the contemporary music... Read More about Digital transformation and the DIY artist: Balancing artistic integrity and economic sustainability in the digital domain.

An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material (2024)
Journal Article
Alcock, K. M., Shearer, N., Santos, F. V., Cai, Z., & Goh, K. (2024). An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material. Applied Materials Today, 38, Article 102221. https://doi.org/10.1016/j.apmt.2024.102221

A proof-of-concept utilising Copper-Plated Polyurethane Foam (CPPF) and Phase Change Material (PCM) for passive thermal management of lithium-ion batteries is demonstrated in this study. The aim of this research is to assess the effectiveness of CPPF... Read More about An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material.

Citizen engagement in public sector innovation: exploring the transition between paradigms (2024)
Journal Article
Nguyen, H., Drejer, I., & Marques, P. (online). Citizen engagement in public sector innovation: exploring the transition between paradigms. Public Management Review, https://doi.org/10.1080/14719037.2024.2347360

This paper explores how the public sector engages citizens for innovation purposes. It connects the related but currently separate debates concerning the transition from the ‘new public management’ to the ‘new public governance’ paradigm and the appl... Read More about Citizen engagement in public sector innovation: exploring the transition between paradigms.

Playable Archive: The management of data in the FIFA/EA Sports franchise (2024)
Presentation / Conference Contribution
Donald, I. (2024, July). Playable Archive: The management of data in the FIFA/EA Sports franchise. Presented at DiGRA 2024, Guadalajara, Jalisco, México

The FIFA series (now known as EA Sports FC) of video games are football (soccer) sports simulation games that claim to provide “unrivaled authenticity” for fans (Escaravage and Ludlow 2023). EA releases a new version annually and each iteration routi... Read More about Playable Archive: The management of data in the FIFA/EA Sports franchise.

Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture (2024)
Presentation / Conference Contribution
Le Goff, L., & Hart, E. (2024, July). Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. Presented at GECCO 2024 Embodied and Evolved Artificial Intelligence Workshop, Melbourne, Australia

Algorithmic frameworks for the joint optimisation of a robot's design and controller often utilise a learning loop nested within an evolutionary algorithm to refine the controller associated with a newly generated robot design. Intuitively, it is rea... Read More about Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture.

Explaining evolutionary feature selection via local optima networks (2024)
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.