School of Computer Science and Statistics
Background I’m happy to consider compelling project proposals that involve hardware, networking, security or wireless technologies. Ideally they will be well aligned with my research interests. In recent years students have worked on projects in security and crypto, VPNs, homomorphic encryption, Vehicular Networking, Distributed online control, Underwater communications, music visualisation and some fundamental Quantum Communication … Read more
The perception of speech has been studied extensively, due to its importance in our society. Sign language is an alternative form of communication, primarily adopted by individuals that are deaf, with severe hearing impairment, or with severe difficulties speaking to physically speak. However, it is unknown how the brain of the “listener” transforms sign language … Read more
Learning a second language is a challenging and time-consuming task. While a myriad of strategies have been proposed, we are still far from reaching an optimal personalised solution. Users either drop out early in the process or, once they reach a sufficient level of proficiency, they hit a plateau that seems impossible to overcome. This … Read more
In the era of large-scale communication networks, understanding user mobility patterns is crucial for optimizing network resources, improving service quality, and enhancing user experience. Mobility models provide insights into how users move within a network, influencing network planning, resource allocation, and handover decisions. However, traditional approaches to identifying these models often rely on predefined assumptions … Read more
The advent of IoT devices led to the creation of many different, distributed machine learning techniques to identify patterns and make logical decisions based on the large volumes of data generated. Traditionally, these devices readily shared their raw data with a centralised server. However, this sharing of raw data is not conducive to maintaining the … Read more
Auditory communication has a central role in our society. However, it remains unclear how our brains allow us to understand complex sounds, such as speech and music. The use of machine learning methods to study neural data has recently led to a major paradigm shift, greatly advancing our understanding of auditory perception. The Di Liberto … Read more
https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/projects/Wind%20Turbine%20Predictive%20Maintenance%20Using%20Machine%20Learning
Are you interested in researching generative AI techniques for visual content creation?
In this project, we will explore generative AI with a focus on image, video, and 3D content creation and editing. You will build up your background in computer graphics and computer vision and conduct research in the following themes including latent diffusion models and neural radiance fields.
https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/projects/Carbon%20Neutrality
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