Inmaculada Arnedillo

Songs often reflect the social, political and cultural events of the time in which they are created. Artists may respond to wars, political events, social movements, economic crises, disasters and other significant events through their lyrics. This project will explore how Natural Language Processing (NLP), AI and data analysis can be used to identify references … Read more

The growth of short-term letting platforms has changed how residential properties are used and may influence the social and commercial character of local neighbourhoods. Areas with high concentrations of short-term accommodation may experience changes in the types of businesses, services and amenities that operate locally, as well as changes in patterns of activity and community … Read more

Social media influencers play an increasingly important role in shaping people’s perceptions and behaviours related to health, fitness, diet, wellbeing and lifestyle. Their posts may encourage particular health-related behaviours, while the motivations and commercial interests behind such content may not always be transparent. This project will explore how influencer content may affect people’s health-related attitudes … Read more

Headphones increasingly provide users with access to ambient and environmental sound through features such as transparency modes, noise cancellation and sound enhancement. However, the most appropriate balance between external and headphone-generated sound may depend on what the user is doing, where they are, or their needs and state at a particular moment. This project will … Read more

College spaces such as classrooms, libraries, study areas, cafés and social spaces have very different soundscapes. These acoustic environments may influence how students experience and use these spaces, including their concentration, comfort and perceived stress. This project will investigate how sensor technologies can be used to characterise the soundscapes of different college spaces and explore … Read more

Many learners rely on headphones during study, lectures, or group activities to manage their sensory environments. Headphones, particularly modern smart and noise-cancelling models, can provide rich streams of data such as ambient noise levels, user volume preferences, listening patterns, microphone input, and contextual metadata (e.g., location of use, duration of listening). These data can be … Read more

This project involves creating an app to anonymise (blur) large amounts of video footage of people wearing face masks. The obfuscation technique developed should have a minimal impact on the accuracy of vision recognition models. So, the anonymised data should keep markers to core reference points such as ears, eyes, nose etc. so that the … Read more

This project will look at how to assess LinkedIn profiles to identify whether the owner of the profile exhibits a set of employability skills such as reliability, common sense, commitment, motivation, enthusiasm, ability to deal with pressure, etc. The project will require an analysis of the LinkedIn features which could potentially allow users to exhibit … Read more

This project will investigate the use of AI to assess GitHub repositories to: identify the skills of the repository owner, assess their level and provide improvement recommendations in the setting of a group project. The evaluation with a group would be a core aspect of the project.