Machine learning research topics on big and complex data

I am happy to supervise final-year undergraduate projects and master’s theses (Data Science). Below are the research topics. As these topics rely on advanced mathematical and statistical methods, only candidates with a strong background in mathematics or statistics will be considered. I also welcome PhD enquiries. If you’re interested, please contact me to discuss your … Read more

Inside Airbnb: Tourism in Dublin (taken)

In the last decade, Airbnb has become a mainstay for tourists worldwide. In this project, we will use data from insideairbnb.com to obtain a better geographic understanding of Dublin. Which parts are expensive or reasonable to rent? Where do tourists like to stay, and in what type of accommodation? We will study these issues using … Read more

[TAKEN] Investigating the Reproducibility of Studies which conducted Data Analysis or Machine Learning 

**This project is for students in the Statistics & Data Science programme (M.Sc) or MSc in Statistics and Sustainability ** “Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study … Read more

[TAKEN] Building a Dashboard for the Behavioural Energy and Travel Tracker Data Set

** This project is only available for students in the MSc in Statistics & Sustainability programme **  The Behavioural Economics Unit of the Sustainable Energy Authority of Ireland (SEAI) commissioned the national survey entitled Behavioural Energy and Travel Tracker (BETT). According to the website (https://www.seai.ie/data-and-insights/behavioural-insights/publications/bett-dataset),  “The tracker uses a behavioural science technique known as the … Read more

Project Supervision

I am happy to supervise projects in the following areas: Practical Applications of Management Science, Ethnographic Approaches to Information Systems Problems, Gendered Technology