AI and Technologies

Self-attention is What You Need to Fool a Speaker Recognition System (2023)
Presentation / Conference Contribution
Wang, F., Song, R., Tan, Z., Li, Q., Wang, C., & Yang, Y. (2023, November). Self-attention is What You Need to Fool a Speaker Recognition System. Presented at The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023), Exeter, UK

Speaker Recognition Systems (SRSs) are becoming increasingly popular in various aspects of life due to advances in technology. However, these systems are vulnerable to cyber threats, particularly adversarial attacks. Traditional adversarial attack me... Read More about Self-attention is What You Need to Fool a Speaker Recognition System.

T/ensor/~ 0.3 (2023)
Presentation / Conference Contribution
Papageorgiou, D. (2023, May). T/ensor/~ 0.3. Presented at The International Conference on New Interfaces for Musical Expression (NIME), Mexico City

T/ensor/~ (version 0.3) is a prototype of a dynamic performance system developed in MAX that involves adaptive digital signal processing modules and generative processes towards exploring the field and performance-practice of human-machine improvisat... Read More about T/ensor/~ 0.3.

DanceGraph: A Complementary Architecture for Synchronous Dancing Online (2023)
Presentation / Conference Contribution
Sinclair, D., Ademola, A. V., Koniaris, B., & Mitchell, K. (2023, May). DanceGraph: A Complementary Architecture for Synchronous Dancing Online. Presented at 36th International Computer Animation & Social Agents (CASA) 2023, Limassol, Cyprus

DanceGraph is an architecture for synchronized online dancing overcoming the latency of net-worked body pose sharing. We break down this challenge by developing a real-time bandwidth-efficient architecture to minimize lag and reduce the timeframe of... Read More about DanceGraph: A Complementary Architecture for Synchronous Dancing Online.

Responsible Design & Evaluation of a Conversational Agent for a National Careers Service (2023)
Presentation / Conference Contribution
Wilson, M., Cruickshank, P., Gkatzia, D., & Robertson, P. (2023, September). Responsible Design & Evaluation of a Conversational Agent for a National Careers Service. Presented at Symposium on Future Directions in Information Access (FDIA) 2023, Vienna, Austria

This PhD project applies a research-through-design approach to the development of a conversational agent for a national career service for young people. This includes addressing practical, interactional and ethical aspects of the system. For each asp... Read More about Responsible Design & Evaluation of a Conversational Agent for a National Careers Service.

The stuff we swim in: Regulation alone will not lead to justifiable trust in AI (2023)
Journal Article
Powers, S. T., Linnyk, O., Guckert, M., Hannig, J., Pitt, J., Urquhart, N., Ekart, A., Gumpfer, N., Han, A., Lewis, P. R., Marsh, S., & Weber, T. (2023). The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE technology & society magazine, 42(4), 95-106. https://doi.org/10.1109/MTS.2023.3341463

Information technology is used ubiquitously and has become an integral part of everyday life. With the ever increasing pervasiveness and persuasiveness of Artificial Intelligence (AI), the function of socio-technical systems changes and must be consi... Read More about The stuff we swim in: Regulation alone will not lead to justifiable trust in AI.

TouchEnc: a Novel Behavioural Encoding Technique to Enable Computer Vision for Continuous Smartphone User Authentication (2023)
Presentation / Conference Contribution
Aaby, P., Giuffrida, M. V., Buchanan, W. J., & Tan, Z. (2023, November). TouchEnc: a Novel Behavioural Encoding Technique to Enable Computer Vision for Continuous Smartphone User Authentication. Presented at The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023), Exeter, UK

We are increasingly required to prove our identity when using smartphones through explicit authentication processes such as passwords or physiological biometrics, e.g., authorising online banking transactions or unlocking smartphones. However, these... Read More about TouchEnc: a Novel Behavioural Encoding Technique to Enable Computer Vision for Continuous Smartphone User Authentication.

Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices (2023)
Presentation / Conference Contribution
Spalding, A., Tan, Z., & Babaagba, K. O. (2023, November). Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices. Presented at The International Symposium on Intelligent and Trustworthy Computing, Communications, and Networking (ITCCN-2023), Exeter, UK

Data recovery for forensic analysis of both hard drives and solid state media presents its own unique set of challenges. Hard drives face mechanical failures and data fragmentation , but their sequential storage and higher success rates make recovery... Read More about Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices.

Scalable Multi-domain Trust Infrastructures for Segmented Networks (2023)
Presentation / Conference Contribution
Grierson, S., Ghaleb, B., Buchanan, W. J., Thomson, C., Maglaras, L., & Eckl, C. (2023, November). Scalable Multi-domain Trust Infrastructures for Segmented Networks. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, UK

Within a trust infrastructure, a private key is often used to digitally sign a transaction, which can be verified with an associated public key. Using PKI (Public Key Infrastructure), a trusted entity can produce a digital signature, verifying the au... Read More about Scalable Multi-domain Trust Infrastructures for Segmented Networks.

Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety (2023)
Presentation / Conference Contribution
Charissis, V. (2023, December). Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety. Presented at 30th International Display Workshop, Niigata, Japan

This project investigates the use of an AI codriver that could support the driver's decision-making process. The information is presented through AR HUD and audio. The evaluation by 20 users in a VR driving simulator presented both encouraging outcom... Read More about Augmented Reality AI Co-Driver: Impact on Drivers Perceived Experience and Safety.

Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory (2023)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Bratton, A. (2023, December). Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory. Presented at 2023 SRHE International Research Conference, Birmingham, UK

Degree apprentices have reported finding work-life-study balance challenging. This study uses the Theory of Conservation of Resources (COR) to investigate the resources invested and gained by apprentices in the achievement of their goal of a degree w... Read More about Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory.

PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping (2023)
Presentation / Conference Contribution
Wang, Z., Liu, Q., & Liu, X. (2023, August). PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. Presented at The 9th IEEE International Conference on Privacy Computing and Data Security (PCDS 2023) as Part of the IEEE Smart World Congress 2023, Portsmouth, UK

The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunities for AI applications. However, traditional distributed machine learning me... Read More about PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping.

A critical review of the efficacy of the UN SDGs as conduits for collaboration in business tourism provision. Case Study Edinburgh & Melbourne (2023)
Presentation / Conference Contribution
Robertson, M., Pyke, J., & Drake, C. (2023, February). A critical review of the efficacy of the UN SDGs as conduits for collaboration in business tourism provision. Case Study Edinburgh & Melbourne. Presented at 33rd Annual Conference of the Council for Australasian Universities Tourism and Hospitality Education, Fremantle, Western Australia

Business events can support the needs of access, equality, and learning for work and social inclusion, and determine a greater range of benefits than had been previously considered (Edwards, Foley, & Schlenker, 2011; Foley, Edwards, & Schlenker, 2014... Read More about A critical review of the efficacy of the UN SDGs as conduits for collaboration in business tourism provision. Case Study Edinburgh & Melbourne.

OPSEC VS Leaked Credentials: Password reuse in Large-Scale Data Leaks (2023)
Presentation / Conference Contribution
Uzonyi, D. G., Pitropakis, N., McKeown, S., & Politis, I. (2023, November). OPSEC VS Leaked Credentials: Password reuse in Large-Scale Data Leaks. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, UK

Security and authentication are ubiquitous problems that impact all modern networked systems. Password-based authentication systems are still prevalent, and information leaked via other channels may be used to attack networked systems. Researchers ha... Read More about OPSEC VS Leaked Credentials: Password reuse in Large-Scale Data Leaks.

Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review (2023)
Journal Article
Hazmy, A. I., Hawbani, A., Wang, X., Al-Dubai, A., Ghannami, A., Yahya, A. A., Zhao, L., & Alsamhi, S. H. (2024). Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review. IEEE Sensors Journal, 24(4), 4161-4180. https://doi.org/10.1109/jsen.2023.3343428

Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved productivity and efficiency. However, adopting Agriculture 4.0 requires a period of transition and effort. Satellite-Airborne sensing technologies may becom... Read More about Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review.

Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces (2023)
Journal Article
Li, W., Buchanan, E., Goff, L. K. L., Hart, E., Hale, M. F., Wei, B., Carlo, M. D., Angus, M., Woolley, R., Gan, Z., Winfield, A. F., Timmis, J., Eiben, A. E., & Tyrrell, A. M. (2024). Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces. IEEE Transactions on Evolutionary Computation, 28(6), 1561 - 1574. https://doi.org/10.1109/tevc.2023.3316363

Jointly optimising both the body and brain of a robot is known to be a challenging task, especially when attempting to evolve designs in simulation that will subsequently be built in the real world. To address this, it is increasingly common to combi... Read More about Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces.

Can HP-protein folding be solved with genetic algorithms? Maybe not (2023)
Presentation / Conference Contribution
Jansen, R., Horn, R., van Eck, O., Version, K., Thomson, S. L., & van den Berg, D. (2023, November). Can HP-protein folding be solved with genetic algorithms? Maybe not. Presented at ECTA 2023 15th International Conference on Evolutionary Computation Theory and Applications, Rome, Italy

Genetic algorithms might not be able to solve the HP-protein folding problem because creating random individuals for an initial population is very hard, if not impossible. The reason for this, is that the expected number of constraint violations incr... Read More about Can HP-protein folding be solved with genetic algorithms? Maybe not.

RLT 30 YEARS Research in Learning Technology: making friends and influencing people (2023)
Journal Article
Brunton, J., Bennett, L., Drumm, L., Flavin, M., Honeychurch, S., Thomson, S., & Varga-Atkins, T. (2023). RLT 30 YEARS Research in Learning Technology: making friends and influencing people. Research in Learning Technology, 31, https://doi.org/10.25304/rlt.v31.3212

The first issue of Research in Learning Technology (RLT) was published in 1993. Over 30 years, the journal has comprised an informal research and development facility for new ideas and practices in technology enhanced learning. This paper takes nine... Read More about RLT 30 YEARS Research in Learning Technology: making friends and influencing people.

Unpublished documents: Tate Jukka and Pekka (2016) and Tate Vaino (2016); and their 13 derivates (2023)
Exhibition / Performance
Turtola, N. Unpublished documents: Tate Jukka and Pekka (2016) and Tate Vaino (2016); and their 13 derivates. [Print]. Exhibited at Espoo, Finland. 30 November 2023 - 1 December 2023

This experiment consists of 15 pages, 13 of which were created in 2023 in the process of revising the original 2016 writing. Turtola communicates/reveals and hides/disguises the original semantic meanings, words and their original narrative using fou... Read More about Unpublished documents: Tate Jukka and Pekka (2016) and Tate Vaino (2016); and their 13 derivates.

Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem. (2023)
Presentation / Conference Contribution
Verduin, K., Thomson, S. L., & van den Berg, D. (2023, November). Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem. Presented at ECTA 2023 15th International Conference on Evolutionary Computation Theory and Applications, Rome, Italy

Unlike other NP-hard problems, the constraints on the traveling tournament problem are so pressing that it’s hardly possible to randomly generate a valid solution, for example, to use in a genetic algorithm’s initial population. In this study, we ran... Read More about Too Constrained for Genetic Algorithms. Too Hard for Evolutionary Computing. The Traveling Tournament Problem..

The Opaque Nature of Intelligence and the Pursuit of Explainable AI (2023)
Presentation / Conference Contribution
Thomson, S. L., van Stein, N., van den Berg, D., & van Leeuwen, C. (2023, November). The Opaque Nature of Intelligence and the Pursuit of Explainable AI. Presented at NCTA 2023: 15th International Conference on Neural Computation Theory and Applications, Rome, Italy

When artificial intelligence is used for making decisions, people are more likely to accept those decisions if they can be made intelligible to the public. This understanding has led to the emerging field of explainable artificial intelligence. We re... Read More about The Opaque Nature of Intelligence and the Pursuit of Explainable AI.

Outputs (117)