School of Computer Science and Statistics
Federated learning is used in distributed collaborative networks where multiple clients coordinate to train AI models without the need to share raw data. This is advantageous in a number of settings; for example; in health care where there are privacy/ethical issues associated with sharing data across multiple sites and in IoT networks where the sharing … 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
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
Connected Autonomous Vehicles (CAVs) are expected to share the roads with Human Driven Vehicles for the foreseeable. The random sequences in this mixed traffic flow render the design of CAV controllers particularly challenging. This project investigates the design of a deep reinforcement learning algorithm algorithms to reduce the training dimensions and alleviate computational burdens. This … Read more
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.
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
Biometric authentication refers to systems that verify the identity of a user by unique traits such us fingerprints, voices or particular physiological features (such as ECG which will be the focus of the project). After having developed such a system based on publicly available data, this project will investigate the possibility of bypassing it using … Read more