InterAcT® an interactive smartphone application to support children/young people with neuro-developmental disabilities in airport and dental context.

This project is available to students with a background in software development who are interested in health applications, inter-disciplinary projects, and a desire to strive towards health equity for underserved populations. It is in collaboration with Prof. Olive Healy and Dr. Rhona Dempsey in the School of Psychology. InterAcT® is an interactive smartphone app designed … Read more

Interactive Medieval Manuscripts

A facsimile page from a medieval manuscript can be made interactive: laid flat on a table and wired underneath with conductive tape it can respond to touch. A visitor could press a line and hear the page read aloud in Latin, then in English. Press an illuminated initial and music starts underneath it. The program … Read more

Synthetic Data Generation of Children Performing Motor Skills

This project will aim to generate synthetic data of children performing a set of motor skills, such us hoping, jumping forward, skipping etc. Real data sets of children performing the skills will be provided. The end objective is to generate ML models of the children performing the various motor skills tasks.   

Face-masked Face Blurring App

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

Identifying Employability Skills in LinkedIn Profiles

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

Artificial Intelligence, the Internet of Things (IoT) and Smart Cities

I am interested in any project that applies Artificial Intelligence and Machine Learning algorithms to real-time data gathered from sensors (or any Internet of Things devices) to address sustainability challenges in smart cities. The perspective of any stakeholder within a city is interesing to explore (citizens, commuters, bus providers, private transport providers (bike, taxi, car), … Read more

Clustering multiple data sets using consensus clustering

Clustering methods are usually applied to a single data set of interest. However, several related data sets can sometimes be available. In this case it is often of interest to determine whether the features of a single data set identified by a cluster analysis are common across all data sets. Consensus clustering has been proposed … Read more

Digital Twin Cities

Supervised with the assistance of Gary White. A digital twin is a highly accurate digital representation of a physical process, person, place, system or device. Digital twins were originally designed to improve manufacturing processes using simulations that have highly accurate models of individual components. However, with increasingly scalable and accurate BIM model creation capabilities, it … Read more

Deep-Learning Bibliographic Reference Strings with a 1-Billion-Instances Dataset

Problem/Background Effective citation parsing is crucial for academic search engines, patent databases and many other applications in academia, law, and intellectual property protection. It helps to identify related documents and calculate the impact of researchers and journals (e.g. h-index). “Citation parsing” refers to identifying and extracting a reference like “[4]” in the full text, and … Read more