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All Outputs (467)

GREENGAGE - Empowering citizens through data collection while harnessing Copernicus EO data within citizen observatories (2025)
Presentation / Conference Contribution

The GREENGAGE project integrates Copernicus Earth Observation data to analyse area attractiveness and air pollutant concentrations, providing critical insights for urban planning and policy development. The project utilises high-resolution land cove... Read More about GREENGAGE - Empowering citizens through data collection while harnessing Copernicus EO data within citizen observatories.

Blockchain and smart contracts for public administration: A digital approach to transparent and predictive infrastructure management (2025)
Presentation / Conference Contribution

Digitising public administration (PA) is essential for enhancing efficiency, transparency, and traceability in public procurement management. This document presents an integrated model that amalgamates building infor-mation modelling (BIM), digital t... Read More about Blockchain and smart contracts for public administration: A digital approach to transparent and predictive infrastructure management.

Accidental Paradise (2025)
Exhibition / Performance

A collaboration with Artist Young In Hong, Accidental Paradise uses machine learning to map Hong's reading performance of her text to vocalizations by red crowned cranes. Some text from the exhibition is below.

Accidental Paradise, installed in a... Read More about Accidental Paradise.

Explore the relationship between house prices and crime rate in the UK using machine learning techniques (2025)
Journal Article

In the UK, house price estimation is an important topic. It has been discussed in numerous academic research publications and official and business reports. A house’s price can change depending on size, age, and location. One of the main characterist... Read More about Explore the relationship between house prices and crime rate in the UK using machine learning techniques.

Empowering urban transformation: The role of citizen observatories in inclusive and data-driven governance (2025)
Presentation / Conference Contribution

This paper explores how Citizen Observatories can foster participatory, data-driven governance by actively engaging local communities in co-creating urban knowledge and contributing to evidence-based decision-making processes. Within the EU-funded In... Read More about Empowering urban transformation: The role of citizen observatories in inclusive and data-driven governance.

From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models (2025)
Journal Article

As AI becomes indispensable in healthcare, its vulnerability to adversarial attacks demands serious attention. Even minimal changes to the input data can mislead Deep Learning (DL) models, leading to critical errors in diagnosis and endangering patie... Read More about From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models.

Entangling with light and shadow: Layers of interaction with the pattern organ, a camera-based wavetable synthesiser (2025)
Presentation / Conference Contribution

This paper explores the design and use of a camera-based digital musical instrument as a thinking tool for considering entangled, post-human perspectives. The design of the pattern organ, inspired by experimental optical sound-on-film practices, empl... Read More about Entangling with light and shadow: Layers of interaction with the pattern organ, a camera-based wavetable synthesiser.

Federated learning meets recursive self-distillation: A scalable malware detection framework for IoVs (2025)
Presentation / Conference Contribution

This paper proposes an integrated approach called FL-RSD, leveraging the key advantages of Federated Learning (FL) and Recursive Self-Distillation (RSD) for malware detection in the Internet of Vehicles (IoV). The proposed FL-RSD framework enhances m... Read More about Federated learning meets recursive self-distillation: A scalable malware detection framework for IoVs.