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We have 19 Brunel University London Computer Science PhD Projects, Programmes & Scholarships

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Computer Science

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Brunel University London

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Brunel University London Computer Science PhD Projects, Programmes & Scholarships

We have 19 Brunel University London Computer Science PhD Projects, Programmes & Scholarships

Design for early detection of symptoms of anxiety and depression in university students

Anxiety, depression, and psychological distress can have a severe impact on university student quality of life and academic performance, and recent studies have highlighted the role that the COVID-19 pandemic has played in exacerbating symptoms. Read more

Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data

Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilization and expenditure. In the project, the candidate will help develop robust and explainable AI methods for MLTC risk prediction. Read more

Design and implementation of Explainable Trustworthy Artificial Intelligent System

Currently, the output of AI does not indicate the route or process the model has taken to obtain that output. So, the developers that developed the model will not be able to concisely conclude nor explain how that output was generated. Read more

Smart Homes: Intelligent Data Collection and Processing using Lynsyn

Electricity prices are constantly increasing, and household consumer demand response is a field gaining more interest. This allows the user to understand the behaviour of power consumption and therefore bring down the costs of energy by monitoring what is increasing the demand for energy. Read more

Large Language Modeling (LMM) for unstructured dialogues

Language models such as ChatGPT have become increasingly popular in recent years due to their ability to generate human-like text and assist with a wide range of natural language processing tasks. Read more

Precision control of Nano-fuel production

Storing hydrogen nanobubbles in liquid carriers to produce hydrogen nano-fuels offers significant benefits in terms of efficiency, safety and sustainability. Read more

Multi-omics data analysis for critical disease prediction

Personalised treatment is a new and strategic approach to separates patients into different groups based on their personal response or risk of disease so that treatments can be tailored to the individual patient. Read more

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Objective. The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Finite Element analysis. Read more

Ambient Vibration-Based Calibration of Finite Element Models of Bridges

Objective. The primary objective of this project is to develop a novel method for calibrating Finite Element models of bridges using ambient vibration data and drone imagery. Read more

Development of an Optical Shape Sensing Method Using Optoelectronic Sensors for Soft Flexible Robotic Manipulators in Minimally Invasive Surgery

About the programme. Over the last two decades, many soft continuum manipulators have been developed by many academic institutions and industries for MIS (minimally invasive surgery), endoscopy, and colonoscopy because they can easily access the small or narrow opening in the body during a medical operation. Read more

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