All Outputs (99)

Exploring the ethical challenges of large language models in emergency medicine: A comparative international review (2025)
Presentation / Conference Contribution

Large Language Models (LLMs) hold promise for advancing Emergency Medicine by enhancing operational efficiency and supporting decision-making. This scoping review explores the ethical, legal, and global considerations influencing LLM deployment in em... Read More about Exploring the ethical challenges of large language models in emergency medicine: A comparative international review.

Cyber security unplugged: Teaching security management through immersive gameplay (2024)
Presentation / Conference Contribution

Cyber security education and the online safety of young people is key on the government agenda. A variety of initiatives are designed to raise awareness about the threats and safeguards related to children and their use of technology. Furthermore, cy... Read More about Cyber security unplugged: Teaching security management through immersive gameplay.

History-enhanced ICT For Sustainability education: Learning together with Business Computing students (2024)
Presentation / Conference Contribution

his research explores the use of History to enhance education in the field of ICT For Sustainability (ICT4S) in response to a challenge from the ICT4S 2023 conference. No previous studies were found in ICT4S but the literature on History and Educatio... Read More about History-enhanced ICT For Sustainability education: Learning together with Business Computing students.

Control of biohybrid actuators using neuroevolution (2024)
Presentation / Conference Contribution

In medical-related tasks, soft robots can perform better than conventional robots because of their compliant building materials and the movements they are able perform. However, designing soft robot controllers is not an easy task, due to the non-lin... Read More about Control of biohybrid actuators using neuroevolution.

LLM-guided instance-level image manipulation with diffusion u-net cross-attention maps (2024)
Presentation / Conference Contribution

The advancement of text-to-image synthesis has introduced powerful generative models capable of creating realistic images from textual prompts. However, precise control over image attributes remains challenging, especially at the instance level. Whil... Read More about LLM-guided instance-level image manipulation with diffusion u-net cross-attention maps.

Modelling generalised symmetry in neural networks (2024)
Presentation / Conference Contribution

Responding to the relationships between stimuli (i.e., relational responding) plays a central role in human intelligence (Colbert, 2017, Cassidy, 2016). Decades of psychological research have shown how relational responding behaviour is first learned... Read More about Modelling generalised symmetry in neural networks.

KLANG: Live and expressive C++ for audio [ADC24 Workshop] (2024)
Presentation / Conference Contribution

This workshop provides a practical introduction to two technologies developed to support C++ audio development: klang, a C++ dialect (language extension) that adds audio DSP semantics to modern C++, and rapIDE (rapid audio prototyping IDE), a complet... Read More about KLANG: Live and expressive C++ for audio [ADC24 Workshop].

In between: Ghostly control through slowness and the relational (2024)
Presentation / Conference Contribution

This presentation is about space and sustainability, exploring Massey’s theory of space and how it can enform musical interface design. In particular, how something can be imagined from the old and remade anew.

A multimodal approach to biometric authentication (2024)
Presentation / Conference Contribution

A multimodal approach to biometric authentication leverages multiple physiological and behavioural characteristics to verify an individual's identity. Combining different modalities, such as facial recognition , fingerprint scanning, and voice recogn... Read More about A multimodal approach to biometric authentication.

Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification (2024)
Presentation / Conference Contribution

With increasing reliance on Cyber Physical Systems (CPS) for automation and control in Industry 4.0 and 5.0, ensuring their security against cyber threats has become paramount. Traditional security mechanisms, constrained by operational continuity an... Read More about Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification.

ProxiMix: Enhancing fairness with proximity samples in subgroups (2024)
Presentation / Conference Contribution

Many bias mitigation methods have been developed for addressing fairness issues in machine learning. We have found that using linear mixup alone, a data augmentation technique, for bias mitigation, can still retain biases present in dataset labels. R... Read More about ProxiMix: Enhancing fairness with proximity samples in subgroups.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT (2024)
Presentation / Conference Contribution

Despite its distributed nature and being privacy-preserving by nature, Federated Learning (FL) is vulnerable to poisoning attacks in which malicious actors can inject fake model parameters or false data to compromise the learning process. This articl... Read More about A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT.

Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine (2024)
Presentation / Conference Contribution

Compiler design plays an important role in ensuring that the translation of the programs written in high-level language into executable code is correct. However, in todays’ safety-critical environments, security gaps, visible and hidden defects in co... Read More about Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine.

Improving search space analysis of fuzzing mutators using cryptographic structures (2024)
Presentation / Conference Contribution

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.

Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security (2024)
Presentation / Conference Contribution

Federated learning is an effective approach for training a global machine learning model. It uses locally acquired data without having to share local data with the centralised server. This method provides a machine learning model beneficial for all p... Read More about Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

Investigation of proteinoid microspheres for cellular nanonetworks based on frequency response (2024)
Presentation / Conference Contribution

There is a growing interest in proteinoid (thermal proteins) microspheres as a potentially valuable components for creating nano-scale sensing and computing networks. This research aims to investigate how proteinoid microspheres respond to different... Read More about Investigation of proteinoid microspheres for cellular nanonetworks based on frequency response.

ResNet18 performance: Impact of network depth and image resolution on image classification (2024)
Presentation / Conference Contribution

This study explores aspects of using ResNet18 for the classification of biomedical images, using the 2D medical images from the MedMNIST library that is widely used for benchmarking. The number of layers within the ResNet18 was studied. The typically... Read More about ResNet18 performance: Impact of network depth and image resolution on image classification.

Insights into how digital luthiers approach design (2024)
Presentation / Conference Contribution

The design of digital musical instruments represents a complex role that incorporates creative practice, design and engineering. It is, of course, a deep discussion topic and research focus within the NIME community. This paper discusses how digital... Read More about Insights into how digital luthiers approach design.