Managing LLM Adaptation for University Use – TAKEN

The massive step up in how Large Language Model can generate convincing and often accurate content based on simple prompts has come as an unanticipated challenge to itching and learning in universities. While the reaction to date has focussed on how to address the risks of LLM being used for plagiarism, less focus has been … Read more

Generative AI for Immersive 3D Experience

We will explore generative AI with a focus on 3D content creation and editing. You will build up your background in 3D computer graphics and 3D computer vision and conduct research in the following themes including neural radiance fields, diffusion models, or applied projects. 1. Neural radiance fields Project 1.1: Real-time neural radiance fields. We … Read more

Technologies for Learning/Education (Not available)

I am happy to supervise projects that look at the use of technologies for learning in formal or informal learning contexts. I’m an expert on mobile learning, collaborative learning and enabling technologies to deal with learning barriers.

[Taken] Deep learning for physiological signal

Deep learning has recently achieved state-of-the-art performances in many computer vision classification tasks. In this project we’ll look into developing a tailored deep learning solution based on Neural Network for a problem related to classification with physiological signals. The project will go into details of architecture selection, hyper-parameter learning, validations, and best training practice of … Read more

[Taken] Fair training through uncertainty

Deep learning, in particular Neural Networks (NNs), has achieved state-of-the-art results in many applications in the last decade. However, the way these models work and operate is still not fully understood, and in many ways they are approached as black-box when deployed in practice.Unfortunately, this raises several concerns about their suitability to deal with sensitive … Read more

Deep Learning for Radio Signal Processing

With the great capability of learning high-level representational features of unstructured data automatically, deep learning is acknowledged as a powerful machine learning algorithm for radio signal processing. For example, convolutional neural networks (CNNs) are leveraged to develop automatic modulation classification frameworks in [1]-[3]. CNN and its combination with Vision Transformers are also used to design … Read more

Taken – Student-led projects in education

I am happy to supervise student-led projects in the areas of: online learning or the use of technology (e.g., Gen AI or lecture capture) in Higher Education; data analysis or applied statistics in the areas of higher education or student support services; and, statistics/mathematics education in Higher Education. Students interested in the this project should … Read more