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We have 110 Edinburgh Napier University Computer Science PhD Projects, Programmes & Scholarships

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Computer Science

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Edinburgh Napier University

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Edinburgh Napier University Computer Science PhD Projects, Programmes & Scholarships

We have 110 Edinburgh Napier University Computer Science PhD Projects, Programmes & Scholarships

Exploring Artificial Intelligence to Develop the Analysis of Acoustic and Archival Telemetry Data: Unveiling Insights into Shark Movement

 . *Please note that the closing date for this project has been brought forward* . The novel integration of artificial intelligence (AI) in analysing telemetry data represents a paradigm shift, offering unprecedented insights into fish behaviour and responses to environmental changes. Read more

An AI-driven approach to proactive Internet Of Things (IoT) based systems

The Internet of Things (IoT) refers to the ever-growing network of physical objects such as smart devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to interact autonomously and intelligently. Read more

Behavioural Analysis for Ransomware and Extortion-based Attack Detection

Edinburgh Napier University’s Cyber Security and Forensics Research Group focuses on applied research in areas of threat analysis and detection, digital forensic triage, trust, identity and cryptography, and has had successful real world impact with several spin-out companies. Read more

Security of Electric Vehicle Charging Infrastructure

The rise of Electric Vehicles (EVs) drives an increase in demand and rapid development of the charging infrastructure, where a charger interconnects with an EV and a charging provider as well as a site controller to authorise charging sessions and report any errors. Read more

Machine unlearning for large language models

ChatGPT has popularized Large Language Models (LLMs), which are now at the forefront of today's AI boom. The LLMs are remarkable tools that can understand, generate, and interact with human language in a natural way. Read more

Introspection of Virtual Machines using AI

There has been a huge growth in the use of virtualised technologies for computing. This includes fully virtualised servers in the cloud, as well as more lightweight solutions such as containers and docker. Read more

Forensic storage carving using AI

In computer forensics, investigators need to be able to analyse storage devices. Storage devices tend to store information in blocks, and the arrangement of blocks in a certain order is the thing which represents a data object. Read more

Machine Learning and Hyper-heuristics

Hyper-heuristics (HH) have been successfully used to solve combinatorial problems from different problem domains, such as vehicle routing, bin packing and constraint satisfaction problems. Read more

Using multi-agent systems to help households reduce peak electricity consumption in ways they perceive as fair

The UK and the EU have both recently updated their legislation to put net zero emissions targets in place for 2050. This requires moving away from using fossil fuels for energy generation, and moving towards renewable sources such as photovoltaic cells and wind turbines. Read more

Data Quality and Cleaning in Big Data

The proliferation of Big Data analytics is developing ever more sophisticated models for intelligent data-driven insight and decision making in business and in other areas such as health and social care. Read more

Blockchain Technology and Decentralised Finance (DeFi) : The Bridge to the Future of Finance

Blockchain and Distributed Ledger Technology (DLT) provide building blocks of the so-called “Internet of Value”, since they enable recording of interactions and transfer “value” referring to any record of ownership of asset - for example, money, securities, land titles – and ownership of specific information like identity, health information as well as other personal data. Read more

Generative navigation for autonomous robots using active inference

Simultaneous Location And Mapping (SLAM) is a strategy that allows autonomous mobile robots to navigate their environment. Sensors on board the robot detect walls and objects and the sensor data is used to construct a representation of the physical surroundings. Read more

Characterising Automatically Generated Text

Research is needed to understand the differences between human and machine generated text. Prior research has focused on identification of identification of deceptive text, such as phishing attempts or bot-generated tweets. Read more

Adversarial Learning for Industrial Control Systems

Cyber-attacks are increasingly posing more and more threat to information assets and computer systems in general. This is particularly so in industrial control systems which refer to a generalized group of automation systems employed in controlling and keeping track of industrial and manufacturing facilities [1]. Read more

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