We have 21 University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
We have 21 University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
Automatically Detecting, Reproducing and Fixing Flaky Software Tests
The cost of software failures is a huge burden to the worldwide economy that was estimated to be at least £1.3 trillion in 2017. Consequently, software testing, a vital defence against failures, contributes to a large proportion of software development effort and cost. . Read more
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Finding the needle in the ocean: multimodal retrieval systems for unstructured data (S3.5-COM-Zhao)
Imagine trying to solve a puzzle with pieces scattered across different rooms, each room representing a type of media like text, images, audio, or video. Read more
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Towards Cognitive Video Understanding with Large Foundation Models in Video Question Answering (S3.5-COM-ZChen)
In recent years, large foundation models, such as OpenAI’s GPT series and Google’s Gemini, have transformed the field of natural language processing, achieving unprecedented success across a range of language tasks. Read more
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Revolutionizing Manufacturing Productivity with an AI-Powered Question-Answering System for Industry Codes and Standards (S3.5-COM-Song)
In manufacturing confidence in codes and standards is critical for ensuring product safety, quality, consistency, and regulatory compliance. Read more
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User Simulation-Grounded Automatic Conversational Depression Diagnosis Support (C3.5-COM-Wang)
Depression, a form of depressive disorder, is increasingly common among the population, representing a significant mental health concern. Read more
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Developing Digital Biomarkers for Tracking Multiple Sclerosis Progression Using Wearable Devices and AI (S3.5-COM-Sun)
Multiple Sclerosis (MS) is a chronic neurological disease that affects over 2.5 million people globally. Mobility impairment, particularly difficulty with walking, is among the most significant challenges for people with MS (pwMS). Read more
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Cooperative Alignment via Multi-agent Reinforcement Learning (S3.5-COM-Loftin)
Deep reinforcement learning (RL) refers to a class of state-of-the-art machine learning algorithms that use deep learning (i.e., neural networks) to solve long-term decision-making problems. Read more
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Lifelong Learning for Multimodal Farming Data Analytics in Precision Fertilisation Management (C3.5-COM-Yang)
In order to reduce carbon emissions and improve crops productivity, many countries have developed IoT enabled smart farming technologies that enables monitoring, collecting and storing massive farming data over long-time scales. Read more
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GlucoVox: Voice Analysis for Non-Invasive Diabetes Glucose Monitoring Using Machine Learning (C3.5-COM-Ma)
Background. Diabetes is a leading cause of preventable death and affects over 500 million people worldwide, with nearly half unaware of their condition. Read more
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Exploring the Lives of Flying Insects: Using Machine Learning to enable the Instrumentation of Tracking Tags (S3.5-COM-Smith)
Biologging has revolutionised the study of vertebrates, allowing their behaviour to be recorded in the wild, far from the researcher. Read more
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Interpretable and transferable machine learning interatomic potentials for magnetic materials (S3.5-COM-Ellis)
To design the next-generation of materials for applications across domains such as data storage or smart sensing requires an understanding of how its component atoms interact in many different environments. Read more
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Towards adaptable and efficient controllers for smart prosthetic devices (S3.5-COM-Manneschi)
The loss of a limb is a traumatic experience that can significantly hinder a person's ability to perform daily tasks. Advanced smart-prosthetic devices can provide amputees with a more realistic experience, ultimately improving their quality of life. Read more
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Federated EcoVision: Leveraging Aerial Imagery for Decentralized Large-Scale Vegetation Mapping (S3.5-COM-dos Santos)
A plant species inventory is a systematic list or cataloguing of plants within a specific geographic area. These inventories are not only key indicators of climate change but are also essential for natural resource management and shaping public policies. Read more
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Leveraging the formal verification of cyberphysical systems using generative AI (S3.5-COM-Struth)
Modern software systems are increasingly vulnerable to third-party attacks. Read more
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Advancing ECG Interpretation with Human-Centred Multi-modal AI (S3.5-COM-CChen)
Cardiovascular diseases (CVDs) are the leading global cause of mortality, accounting for a staggering 32% of all deaths. Despite the immense potential of electrocardiograms (ECGs) for early and equitable diagnosis, physicians demonstrate an alarming average interpretation accuracy of only 54%[1]. Read more
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