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We have 73 Artificial Intelligence PhD Projects, Programmes & Scholarships in Southampton
Artificial Intelligence PhD Projects, Programmes & Scholarships in Southampton
We have 73 Artificial Intelligence PhD Projects, Programmes & Scholarships in Southampton
Systems for effective and sustainable resource management at hospitals
Supervisory team. Prof Ian Williams, Prof Peter Shaw. Hospital waste management is an important environmental and public safety issue, due to the infectious, toxic or hazardous nature of the waste. Read more
Quantifying Uncertainty in Machine Learning Methods of Early Diagnosis of Neurodegenerative Diseases
Vast amounts of data relating to genetic, molecular, imaging and spectroscopy methods relating to neurodegenerative diseases is becoming available, posing the challenge of early diagnosis and developing a better understanding of their origin and spread along neural connections. Read more
AI-based virtual microphone technique for automotive applications
Are you interested in AI, acoustics, and active sound control? This PhD project offers a unique opportunity to merge these fields and develop groundbreaking AI-based technology that predicts the sound at the ears of car occupants using signals from microphones placed elsewhere in the vehicle, ultimately enabling localized active sound control within the car interior. Read more
Predicting Chaotic Behaviour using Machine Learning: Analysing Financial Risk
Research Group:
Cyber Physical Systems
Chaotic systems are abundant in both natural and man-made systems. This project is about developing new methods for predicting chaotic system dynamics, inspired by novel machine learning technologies, and is developed alongside a University consortium project attempting to model financial risk. Read more
Developing effective interfaces for EMA data collection to support prediction and treatment of health conditions in the community
Health technologies play important roles in earlier prediction of illness and enabling behavioural interventions to help manage conditions in the community. Read more
AI-enhanced high-fidelity cardiovascular modelling
Research Group:
Bioengineering
Are you interested in exploring cardiovascular biomechanics and machine learning in biomedical applications? Be part of a research that merges AI-based medical image processing and multiphysics cardiovascular modelling towards a better understanding of heart diseases and developing patient-specific treatment options. Read more
Sustainable Development for Critical Minerals: A Game Theoretical Approach
The Leverhulme PhD Programme for Interdisciplinary Resilience Studies is administered by the Faculty of Environmental and Life Sciences. Read more
Resilience of Urban Socio-ecological System to Air Pollution (RUSSAP) in the UK
The Leverhulme PhD Programme for Interdisciplinary Resilience Studies is administered by the Faculty of Environmental and Life Sciences. Read more
Machine Learning on Health Data from Wearables
Supervisory Team. Dr Zhiwu Huang, Dr Kate Farrahi. This PhD project focuses on developing advanced machine learning methods to transform wearable biosignal data, like heart rate, activity levels, and sleep patterns, into actionable health insights. Read more
Multimodal Natural Language Processing for Computational Social Science
Research Group:
Agents, Interactions & Complexity
This PhD focuses on developing deep-learning techniques based on multimodal natural language processing (NLP), including large language models (LLMs), audio… Read more
Innovating Power Distribution Cables for the Next-Generation Electrified Aircraft
Supervisory Team. Dr Bahareh Zaghari, Dr George Callender, Prof Paul Lewin. The global push for Net Zero aviation by 2050 demands unprecedented innovation. Read more
Interpretable Models: Bringing Transparency to Deep Learning Decision-Making
Co-supervisor. Dr Antonia Marcu. To trust Deep Learning models in sensitive applications such as autonomous vehicles or healthcare, we need to better understand which information they rely on when making decisions. Read more
Malicious Energy Draining in Deep Learning: Novel Attacks, Defences, and AI Governance
Supervisory team. Dr Jeff Yan, Dr Zhiwu Huang, Dr Aaron Zhao (Imperial College London). Read more
Hypoxic-Ischaemic Encephalopathy early detection by using Image Analysis of MRI Susceptibility Weighted Imaging
Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. Read more
Securing Cyber-Physical Systems with Neural Network Components
Supervisory Team: Prof Ekaterina Komendantskaya, Dr Erisa Karafili . Project description: . Read more