School of Computer Science and Statistics
The project will deal with the statistical analysis of meteorological data. See for example here: 🌤️ Free Open-Source Weather API | Open-Meteo.com The interested Students, must do a good search in this or another relevant data, contact me for confirmation and then they can request the project.
ELIGIBILITY: This project is for a student on the M.Sc. in Statistics and Data Science. In this project, we’ll look at the various ways in which ecologists have attempted to answer the question ‘How many species are there?’. Some of these methods are statistical, and we’ll focus on those, but we’ll also take a look … Read more
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
This project seeks to build a solution for modelling and interactive realistic 3D rendering of home interiors. There already exist many applications that (a) capture building interiors in realistic 3DÂ (b) creating a 3D model of a house based on a simple app, and (c) simulating placement of furniture in a home before purchase. This … Read more
Most augmented and mixed reality applications involve adding virtual foreground objects to the real world; in this project, we look at a converse of this problem: can we change the appearance of background objects and the environment when viewed through an augmented/mixed reality lens? For instance: THIS PROJECT IS SUITABLE FOR: This project is ideally … 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
Students in higher education frequently face challenges with sensory processing that can impact their ability to focus, engage, and collaborate. These challenges include sensory overload (e.g., from noisy lecture halls or crowded group settings), under-stimulation (e.g., fatigue, low arousal), and distraction (e.g., constant notifications). Addressing these issues is essential for fostering inclusive learning environments. Smart … Read more
Mobile phones are ubiquitous in higher education and are already integrated into students’ daily routines. Beyond their role in communication, they provide a rich source of sensor data (e.g., microphone, accelerometer, gyroscope, screen interaction patterns, GPS, app usage). These data streams can act as proxies for environmental conditions (e.g., noise, movement, crowding) and user states … Read more
Students in higher education often encounter challenges in sensory processing that can affect their ability to fully engage in lectures, tutorials, and collaborative learning environments. Sensory overload (e.g., from noise, crowded rooms, or prolonged concentration) or under-stimulation (e.g., lack of movement, low arousal) can hinder focus, participation, and retention of information. Smartwatches provide a unique … Read more
The Brain Game is an activity in which groups of learners have to engage in an simulated, role playing, project management task. For example the learners may be tasked with organizing a school concert. To carry out the task the learners need to interact, via email, with a range of stakeholders – school principal, parents, … Read more