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Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Conference Proceeding
Nash, C. (2021). Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Feature vulnerability and robustness assessment against adversarial machine learning attacks (2021)
Conference Proceeding
Mccarthy, A., Andriotis, P., Ghadafi, E., & Legg, P. (in press). Feature vulnerability and robustness assessment against adversarial machine learning attacks. In 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)https://doi.org/10.1109/CyberSA52016.2021.9478199

Whilst machine learning has been widely adopted for various domains, it is important to consider how such techniques may be susceptible to malicious users through adver-sarial attacks. Given a trained classifier, a malicious attack may attempt to cra... Read More about Feature vulnerability and robustness assessment against adversarial machine learning attacks.

Unsupervised one-class learning for anomaly detection on home IoT network devices (2021)
Conference Proceeding
White, J., & Legg, P. (in press). Unsupervised one-class learning for anomaly detection on home IoT network devices. In 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)https://doi.org/10.1109/CyberSA52016.2021.9478248

In this paper we study anomaly detection methods for home IoT devices. Specifically, we address unsupervised one-class learning methods due to their ability to learn deviations from a single normal class. In a home IoT environment, this consideration... Read More about Unsupervised one-class learning for anomaly detection on home IoT network devices.

“It’s not therapy; I’m not a therapist”: Exploring the perspectives of Arts Health Practitioners on how arts on referral can improve psychosocial outcomes in adults with health conditions (2021)
Conference Proceeding
White, E., Holt, N., & Jenkinson, E. (2021). “It’s not therapy; I’m not a therapist”: Exploring the perspectives of Arts Health Practitioners on how arts on referral can improve psychosocial outcomes in adults with health conditions. In . N. Daykin, & A. Coulter (Eds.), Culture, Health and Wellbeing International Conference 2021 CHW21 Research Proceedings (143-146)

Introduction The rationale for this research was to explore the perspectives of art for health practitioners about how art interventions can improve psychosocial outcomes for adults with physical health conditions. Existing literature tends to foc... Read More about “It’s not therapy; I’m not a therapist”: Exploring the perspectives of Arts Health Practitioners on how arts on referral can improve psychosocial outcomes in adults with health conditions.

Federated blockchained supply chain management: A cybersecurity and privacy framework (2021)
Conference Proceeding
Demertzis, K., Iliadis, L., Pimenidis, E., Tziritas, N., Koziri, M., Kikiras, P., & Tonkin, M. (2021). Federated blockchained supply chain management: A cybersecurity and privacy framework. In Artificial Intelligence Applications and Innovations https://doi.org/10.1007/978-3-030-79150-6_60

The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim is not only to investigate t... Read More about Federated blockchained supply chain management: A cybersecurity and privacy framework.

Embedded intelligent empathy: A systematic review towards a conceptual framework (2021)
Conference Proceeding
Lavaf Pour, Y., Baraket, M., & Chatzimichali, A. (in press). Embedded intelligent empathy: A systematic review towards a conceptual framework

This paper is part of a feasibility project aiming to expand computational design processes to include design empathy. The project is in response to recent valid criticism of computational design overlooking the empathy of the designer. Computational... Read More about Embedded intelligent empathy: A systematic review towards a conceptual framework.

Topology morphing lattice structures (2021)
Conference Proceeding
Sundararaman, V., O'Donnell, M., Weaver, P., & Chenchiah, I. (in press). Topology morphing lattice structures

Planar cellular lattice structures subject to axial compression may undergo elastic bending or buckling of the unit cells. If sufficient compression is applied, the columns of adjacent cells make contact. This changes the topology of the lattice by e... Read More about Topology morphing lattice structures.

Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation (2021)
Conference Proceeding
Child, L., & Ford, N. (2021). Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation. In Audio Engineering Society Convention 150

When used in perceptual audio evaluation, elicitation methods produce a wide variety of raw and unorganized text data. Although at first ambiguous, elicited data can be organized into themes and attributes that are intrinsic to the listener experienc... Read More about Towards an audio attribute framework for understanding the perception of reverberant spaces through elicitation and clustering methods based on participant expectation.

Blockchain and artificial intelligence -Managing a secure and sustainable supply chain (2021)
Conference Proceeding
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence -Managing a secure and sustainable supply chain. In Cybersecurity, Privacy and Freedom Protection in the Connected World (367-377). https://doi.org/10.1007/978-3-030-68534-8_23

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services nowadays. Regardless of whether the operations are mostly physical or online, managing supply chains relies entirely on be... Read More about Blockchain and artificial intelligence -Managing a secure and sustainable supply chain.

Three observations on filming tactility and movement in crafts-based practice: A preliminary investigation (2021)
Conference Proceeding
Ho, W. (2021). Three observations on filming tactility and movement in crafts-based practice: A preliminary investigation. https://doi.org/10.7577/formakademisk.4407

This extended abstract accompanies a research film submission. This film makes three observations on the filming of tactility and movement in order to adequately convey tacit knowledge in embodied ways. The author, Wuon-Gean Ho, studied the craft... Read More about Three observations on filming tactility and movement in crafts-based practice: A preliminary investigation.

Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0 (2021)
Conference Proceeding
Kikiras, P., Koziri, M., Tziritas, N., Pimenidis, E., Iliadis, L., & Demertzis, K. (in press). Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0

Maximizing the production process in modern industry, as proposed by Industry 4.0, requires extensive use of Cyber-Physical Systems (CbPS). Artificial intelligence technologies, through CbPS, allow monitoring of natural processes , making autonomous,... Read More about Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0.

Recommender systems algorithm selection using machine learning (2021)
Conference Proceeding
Pimenidis, E., Kapetanakis, S., & Polatidis, N. (in press). Recommender systems algorithm selection using machine learning

This article delivers a methodology for recommender system algorithm selection using a machine learning classifier. Initially, statistical data from real collaborative filtering recommender systems have been collected to form the basis for a syntheti... Read More about Recommender systems algorithm selection using machine learning.

"Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems (2021)
Conference Proceeding
Johnson, I., White, J., Spruhan, P., Higgs, T., & Legg, P. (in press). "Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems

In March 2020, the COVID-19 pandemic led to a dramatic shift in educational practice, whereby home-schooling and remote working became the norm. Many typical schools outreach projects to encourage uptake of learning cyber security skills therefore we... Read More about "Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems.

Partially structure-preserving signatures: Lower bounds, constructions and more (2021)
Conference Proceeding
Ghadafi, E. (in press). Partially structure-preserving signatures: Lower bounds, constructions and more

In this work we first provide a framework for defining a large subset of pairing-based digital signature schemes which we call Partially Structure-Preserving Signature (PSPS) schemes. PSPS schemes are similar in nature to structure-preserving signatu... Read More about Partially structure-preserving signatures: Lower bounds, constructions and more.

Creativity in children's digital music composition (2021)
Conference Proceeding
Nash, C., Ford, C., & Bryan-Kinns, N. (in press). Creativity in children's digital music composition

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy (to support children’s learning through p... Read More about Creativity in children's digital music composition.

Bespoke anywhere (2021)
Conference Proceeding
Challinor, R., & Gaster, B. (in press). Bespoke anywhere

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.

Twin delayed hierarchical actor-critic (2021)
Conference Proceeding
Anca, M., & Studley, M. (2021). Twin delayed hierarchical actor-critic. In 2021 7th International Conference on Automation, Robotics and Applications (ICARA) (221-225). https://doi.org/10.1109/icara51699.2021.9376459

Hierarchical Reinforcement Learning (HRL) addresses the common problem in sparse rewards environments of having to manually craft a reward function. We present a modified version of the Hierarchical Actor-Critic (HAC) architecture called Twin Delayed... Read More about Twin delayed hierarchical actor-critic.

Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots (2021)
Conference Proceeding
Winkle, K., Caleb-Solly, P., Leonards, U., Turton, A., & Bremner, P. (2021). Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots. https://doi.org/10.1145/3434073.3444666

In this paper we apply the recent concept of robot Ethical Risk Assessment to an exemplar Socially Assistive Robot (SAR); specifically considering ethical risks posed by anthropomorphism in this context. We draw on two complimentary studies to demons... Read More about Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.