All Available Projects

This is a project that is defined by a client called Respected. Details about Respected are available here: https://www.Respected.org.uk

This project is open for two students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

This is a project that is defined by a client called Respected. Details about Respected are available here: https://www.Respected.org.uk. 

This project is open for two students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

IBM have made available their 7 bit quantum computer online for anyone to access. This project would involve you interacting with the IBM Quantum Computer and programming it to solve a simple problem.

A range of problems can be undertaken such as (these are only indicative)

• Factor a number
• Build a quantum random number generator (maybe)
• Open to other suggestions

Please note that you will need a little bit of mathematical skill to work with this project. I suggest that you log onto the quantum computer and investigate on your own first to see what you can do and whether it is right for you. Quantum Lab - IBM Quantum

A range of simple problems can be undertaken including in discussion with the supervisor such as (these are only indicative)

• Factor a number
• Build a quantum random number generator (maybe)
• Open to other suggestions

Please note that you will need a little bit of mathematical skill to work with this project. I suggest that you log onto the quantum computer and investigate on your own first to see what you can do and whether it is right for you. Quantum Lab - IBM Quantum

Information-centric networking is a new networking paradigm that focuses on content rather than hosts. Ubiquitous in-network caching is one of the key aspects of ICN which has received widespread research interest in recent years. ICN in-network caching has promised to improve various aspects of content delivery in the Internet including reducing bandwidth usage, decreasing content delivery latency, etc.

While in-network caching in ICN has potential to improve content delivery process in the Internet, there have not been a consensus on how it should be done. Various caching strategies / schemes have been proposed in the literature. In this project, the aim is to design, implement and evaluate novel in-network caching algorithms.

Interested student may refer to the following paper to get the context of this project:

https://www.sciencedirect.com/science/article/pii/S014036641300025X

• Student will be given pointers to relevant literature at the beginning of the project.
• Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc).
• Student will be given a basic simulation tool (implemented in MATLAB) to kickstart the project.
• This project is open to multiple students. 

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

The ability of a network to withstand perturbations such as link or node failures is important to ensure seamless provision of services. Information-centric networking (ICN) is a new networking paradigm that focuses on content rather than hosts that has potential to improve network resilience. In this project, the focus will be on information resilience in information-centric networks. 

• Student will be given pointers to relevant literature at the beginning of the project.
• Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc).
• This project is open to multiple students.

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

The Internet has grown significantly in size and complexity. In this project, the aim is to analyse the evolution of the Internet topology at the domain level including in the considerations their connections, inter-domain relationship, their tiers. 

• Student will be given pointers to relevant literature at the beginning of the project.
• Student will be given the necessary dataset.
• Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc).

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

Networks facilitate spreading of various entities (e.g., news, information, viral marketing, virus, malware, etc.). In this project, the student is to build a simulator to simulate and understand spreading processes in networks with different properties/characteristics. 

Interested student may refer to the following paper to get the context of this project (do not worry about the Maths in the paper):

https://ieeexplore.ieee.org/document/7543480

https://ieeexplore.ieee.org/document/8074785

• Student will be given pointers to relevant literature at the beginning of the project.
• Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc).

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

The General Data Protection Regulation (GDPR) applies to most businesses in the UK requiring them to safeguard personal data[1] . In the UK, the Data Protection Act 2018  (DPA) was enacted to implement this regulation into law in the UK[2].  This project will seek to create best practice guidance for SMEs to follow about what they must to, not only comply, but also demonstrate compliance with DPA and GDPR.

Past literature either focuses on the process of virus spreading in a static network or topology changes. The co-evolution of the both recently received increasing attention especially due to COVID-19. In this project, the aim is to study this coevolution and gain insights into the behaviour of the spreading patterns under different network adaptation strategies. 

• Student will be given pointers to relevant literature at the beginning of the project.
• Student with strong Mathematical ability would have an advantage for this project. 
• Student can freely choose the Mathematical tools or programming language for this project (python, C/C++, Java, MATLAB, Octave, etc).

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

The main goal of this study is to assess the environmental implications linked to a supply chain dataset by utilising advanced techniques in big data analytics and data science, augmented by the incorporation of artificial intelligence.

We will accomplish this by:

1. Investigating the distribution and sources of orders for frequently requested products.
2. Uncovering the connections between commonly ordered items, their order timing, supplier origins, and delivery endpoints.
3. Evaluating the predictability of demand for particular products in terms of timing, quantities, and geographical locations.
4. Leveraging demand forecasts to simulate a range of scenarios for goods positioned across different locations, thereby enabling an assessment of potential environmental impacts.
5. By refining your writing in this manner, you enhance clarity and readability while maintaining the essential information and purpose of your study.

Urban areas with high volumes of waste (household and end-of-life consumer waste) should closely interact with adjacent industries to jointly minimize the CO2 footprint of industrial production and urban goods, improving urban waste management, developing smart recycling technologies and solutions, and thus contributing together to the valorisation of secondary materials and overall circularity. In this project, we explore the challenges of urban waste management and explore which digital technologies could help manage urban waste.

1. Challenges and components of urban waste management
2. Which digital technologies could be used to manage urban waste?
3.  A conceptual framework and potential IT solutions for improving urban waste management, developing smart recycling technologies and solutions, and thus contributing together to the valorisation of secondary materials and overall circularity.

Hard disk drive (HDD) failure prediction is an active area of machine learning applications. In this project, we use Blackblaze HDD data sets to predict HDD failures using time series analysis.

Securing the privacy of organizational and consumer data, and complying with different cyber security requirements, is an ongoing challenge for those providing services at both a local and global scale. Compliance policies specify allowed system behaviour and are ubiquitous in today's IT systems, ranging from access-control and security policies to regulations of personally identifiable data processing.

In this project area, you will have the opportunity to work on developing techniques and tools to support online monitoring of system behaviours with respect to compliance policies. The goal is to providing data stakeholders with ongoing intelligence about the state of their data.

Cyber threat intelligence involves the real-time collection, normalisation, and analysis of the data generated by users, applications and infrastructure and information ingested from external sources - that impacts the IT security and risk posture of an enterprise.

In this project area, you will have the opportunity to work on developing and implementing cyber threat intelligence techniques and tools to provide actionable and comprehensive insight that reduces risk and operational effort for any size organization.

Possible projects include:

1. develop and implement an actionable intelligence platform
2. develop a model for threat landscape understanding
3. develop a framework for threat actor identification, monitoring and intervention
4. develop and implement techniques for threat actor profiling
5. investigation of cyber-criminal ecosystem, their organizational structures and business models

In this project area, you will have the opportunity of investigating the cyber security risk of an organization and providing appropriate cyber security management strategies.

Possible projects include:

1. develop and/or enhance techniques for continuously gauging an organization’s cyber security capability/maturity and recommending improvements
2. investigate and develop a framework for secured application development and deployment
3. develop bespoke cyber security awareness and training procedures that specifically address the work culture and needs of a chosen organization or enterprise

This project would be best suited to students on the Networking stream that have an interest in wireless networks.

The problem is designing one or several sustainability products into a deployed communications system.

This could be a portable energy generator that uses renewables with sufficient capacity for the deployed network, or it could be a wireless radio that harvests energy to keep itself powered.

Output would be a system or product design/blueprint that covers at least the following considerations, 1 clearly articulated design decision within the design and a business case for their product/solution idea.

A few important notes:

• the point of contact about this project is available to answer questions and confirm whether it is available for you to take on still
• you still need to approach potential supervisors, who feel able to guide you through this project
• you also need to make this project your own, and determine some details as it is defined at a higher level, which would all go into your project proposal

Consideration for; worldwide deployment/installation, Ability to be relocated, Very limited local resource/infrastructure, System requires a high availability, Flexible in selection of communication method e.g. LTE, WiFi, Amateur Radio, etc.

OBS: this project is available to one student only.

The problem is to generate an easy to use, flexible prediction tool that has medium fidelity and can support early engineering activity.

The solution could make use of existing propagation models e.g. ITM but allow for simplifications to make the solution easy to use by non-RF experts.

This project may be most appealing to computing or data science students with a maths and/or computer modelling background.

The output would be an interactive model with a graphical user interface that delivers the link modelling with consideration for ease of use, ease of integration with BAES IT equipment, flexibility versus radio technologies and maintainability

Or the output could be an algorithm along with new or selected mathematics that can be used to model radio propagation when the radio link is nearing the horizon, consider here some real-life testing to help validate the work.

A few important notes:

• the point of contact about this project is available to answer questions and confirm whether it is available for you to take on still
• you still need to approach potential supervisors, who feel able to guide you through this project
• you also need to make this project your own, and determine some details as it is defined at a higher level, which would all go into your project proposal

GUI should utilise commonly accessible software tools (i.e. Python, MATLAB,…). 

OBS: this project is available to one student only.

This project would likely be most appealing to students on the Data Science or Cyber Security courses.

The defence industry has a very strong need for security features or security enforcing functions within IT systems.  New security technology needs to be assessed to understand if it can add additional layers of security to our current and future secure systems.

The solutions might consider the use of NFTs on certain types of defence data, such as ‘tracks’ or unmanned systems waypoints, to ensure that this data’s integrity throughout its life and journey through a network.

The output would be a report that assesses the applicability of NFT technology within defence and if appropriate, presents a business case/value proposition to the client for the foreseen use.

A few important notes:

• the point of contact about this project is available to answer questions and confirm whether it is available for you to take on still
• you still need to approach potential supervisors, who feel able to guide you through this project
• you also need to make this project your own, and determine some details as it is defined at a higher level, which would all go into your project proposal

OBS: this project is available to one student only.

This is a mentored project by DSTL.

Networks often have a degree of redundancy so that loss of some nodes can be tolerated. However, some nodes are more critical than others. How can an attacker identify these nodes without having to read packets - that is by only observing on-air behaviours? Some traffic is more important than others, e.g. management traffic, network routing information. So analysis purely on volume of traffic may not identify critical traffic flows/nodes. 

Can this be achieved only through observation, or is an active approach (e.g. temporary link/traffic denial) needed? Is it possible to predict the impact taking out one or more node will have on a network?    

Can an attacker take out a small number of nodes that has the same effect of taking out a critical node, but in doing so they are less detectable in what they are doing?

Heterogeneous networking (where traffic flows across different networks which may be of different types, e.g. wired/wireless)

 Set up a small scale wireless heterogeneous System of Systems (SoS), from on-air observations can we learn how the traffic flows across networks?

 If one of the networks is wired, can I still track end point traffic, even though I cannot track traffic within the wired network?

One application is on finding critical nodes/links problem - can I thus identify where the most critical inter-network connections are that most disrupts end to end traffic?

For different communication protocols, analyse the protocol structure and identify/demonstrate how they can be disrupted with the least mount of energy. This could be taken by multiple students as a mini-competition to see which project can disrupt a link/network with the smallest output power.

A particular challenge is Wi-Fi 6 and the introduction of WPA3 where more of the control signalling is protected - this will be harder than earlier versions of Wi-Fi. So, in the case where more of the control signalling is protected, how can a system learn how to find protocol vulnerabilities?

In the context where there are many transmitting systems (radio frequencies):

• How can pattern of life / baseline behaviours be modelled, so we know what is 'normal'?
• Based on the baseline models, how can we spot anomalous behaviour? E.g. set up emitters to transmit and exist with given statistics, but then change those statistics (parameters or distribution), how do we spot this?
• How to scale to 1000s or 10,1000s devices (needle in the haystack problem)?
• How to find risks? By modelling pattern of life, can we predict where interference is likely to occur? With many systems transmitting, it is not possible to check all of them sequentially, so how to structure emitter/receiver information to most quickly find systems at risk with a new emitter/interference source?

For these, first assume channel loss is steady, but then add time variation (Rayleigh fading statistics).

Also, initially assume known/fixed locations, but then extend to where location is only known by region.

The faculty has many specialized pieces of equipment purchased for various purposes (teaching, research, etc.) and managed at different levels (faculty, department, staff) but currently, there is no way to understand the availability of such equipment for students and staff to use on their projects. This can potentially lead to huge waste and redundancy of our valuable assets. 

We want to develop a digital platform to see the live status of all available equipment to allow students and staff to book them for usage.

You will start from the Innovation Centre (owned by the Department of Design and Engineering) and The Department of Computing and Informatics then expand it gradually to cover all departments within the Faculty.

This is a project that is defined by Stephen Harper and colleagues from Bournemouth University Sustainability Team. The digital platform should create a supportive environment, enhance knowledge, encourage the use of efficient energy sources through tracking and monitoring of current uses and to account for climate responsibility by students and staff at BU. The goal is to create a Dashboard for members of the BU community who will be able to see current usage for various energy types, and their potential emissions contributions. Information to be displayed in a fun and creative manner which engages the target audience. The platform will support the work of BU’ Sustainability Team as they aim to achieve environmental targets.

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

• Problem: Inputting emoji through the visual keyboard is not great.
• Solution: Develop a few different ways to input emoji with custom swipe (or others) gestures.
• Evaluation: Comparative evaluation to see which of your new designs is best

• Problem: Climbing or Bouldering is a popular sport, yet being able to improve is difficult as you can't review your approach to climbing, instead you typically spend time watching others climb.
• Solution: Define and design a solution that would estimate better ways to climb up a problem based on image detection and machine learning of previous climbs.
• Evaluation: Evaluate the solution with climbers.

• Problem: Accessibility on the web is still poor, there are many evaluation tools, yet they are cumbersome to use and their results can be difficult to interpret.
• Solution: Develop a new tool that improves displaying of WCAG errors to developers.
• Evaluation: Compare your tool against common tools such as WAVE, AXE, or Lighthouse

• NFTs (Non-fungible tokens) have been very popular since 2021 (e.g., https://www.nbatopshot.com/ or https://www.cryptokitties.co/). They have numerous advantages over common collecting, but how could we improve it or move it in new directions? This project could explore either new ideas for NFTs (I have some speculative ideas) or discover how to explain NFTs to users, other ideas could explore how to display, curate, and store NFTs.
  Tracking Cryptocurrency portfolios is often limited to the wallet/exchange or you need to export your wallet data to a service like Koinly (https://koinly.io/). The features are often limited. Could there be a better way for people to track their portfolios without needing to connect their wallets?
  
  
• Cryptocurrency and NFTs are potentially contributing to the climate emergency, yet are likely not going away anytime soon. Could you develop a system where you export someone's crypto portfolio and demonstrate how much it has cost the climate? Similar to http://cryptoart.wtf/ but for full portfolios, could you then allow people to offset this?

• NFTs is still seen as a solution looking for a problem. Yet many applications are yet to be seen realised. Consider using NFTs to track online course progression (e.g., Coursera).

• Problem: Surf forecasting is typical inaccurate as it does not consider the topology of the beach.
• Solution: Propose a new model of surf forecasting which takes into consideration the topology of the beach, include human in the loop feedback to improve forecast models for a user.
• Evaluation: Compare against current industry leaders (e.g., MagicSeaweed)

• Problem: Accessibility is still an afterthought when producing content.
• Solution: Investigate ways of providing nudge support (https://dl.acm.org/doi/10.1145/3290605.3300733) during the production of content.
• Evaluation: Compare against typical ways of providing access feedback.

Problem: Media consumption could increase engagement with use of IoT Devices. Many houses now have IoT devices (e.g., Smart Speakers, Smart Lights etc). Could they be used or activated using media to improve engagement and audience experiences? Imagine your IoT lights changing colour when Darth Vader is on screen or even when his name is spoken. Or the lights flickering when Voldemorts name is spoken.

Solution: Using triggers within media, activate smart devices based on these triggers during media playback.

Evaluation: Explore audience reaction to system to evaluate engagement levels.

Various lung audio sounds (labelled and unlabelled) need to be investigated in order to deploy ML methods for understanding the chronic respiratory diseases. The aim here is to deploy scientific experiments in order postulate your hypotheses and verify them through prediction bases algorithms for the classification of the diseases. The ranking of such algorithms in terms of their performances is a key finding.

Shoulder pain is an issue that affects a significant portion of the population, with an annual prevalence of up to 46.7% and a lifetime prevalence of up to 66.7% according to Artus, et al, 2017. It is commonly managed in primary care settings and ranks as the third most common reason for musculoskeletal consultations. A considerable number of adults, approximately 3%, seek medical advice annually for new shoulder pain.

In this project, a technical solution for measuring shoulder motion needs to be developed. The solution should be based on MediaPipe Pose (https://developers.google.com/mediapipe/solutions). The research questions:

1. What are the requirements for measuring shoulder motion for recovery and/or diagnosis?
2. What are factors influencing the measurement accuracy and how can this be improved?

Strong programming skills are required. 

This project will also receive supervision from Prof. Carol Clark of the Faculty of Health and Social Sciences and Mrs. Emily Middleton of University Hospitals Dorset.

Shoulder pain is an issue that affects a significant portion of the population, with an annual prevalence of up to 46.7% and a lifetime prevalence of up to 66.7% according to Artus, et al, 2017. It is commonly managed in primary care settings and ranks as the third most common reason for musculoskeletal consultations. A considerable number of adults, approximately 3%, seek medical advice annually for new shoulder pain.

The project needs to review potential technologies for support. 

1. measuring positions using static pictures
   • What are supported technical solutions and comparison of different solutions? 
   • What are the requirements for implementation of the solutions?
   • What is the feasibility of implementing the different solutions using static pictures?
2. measuring position based on shoulder motion respectably  
   • What are supported technical solutions and comparison of different solutions? such as MediaPipe Pose, OpenPost
   • What are the requirements for implementation of the solutions?
   • What is the feasibility of implementing the different solutions based on shoulder motion?

This project will also receive supervision from Prof. Carol Clark of the Faculty of Health and Social Sciences and Mrs. Emily Middleton of University Hospitals Dorset.

Shoulder pain is an issue that affects a significant portion of the population, with an annual prevalence of up to 46.7% and a lifetime prevalence of up to 66.7% according to Artus, et al, 2017. It is commonly managed in primary care settings and ranks as the third most common reason for musculoskeletal consultations. A considerable number of adults, approximately 3%, seek medical advice annually for new shoulder pain.

The project is going to design and develop an app to facilitate a patient with their (daily) exercises as suggested by their physiotherapist. The app aims to facilitate self-management of shoulder pain by providing day-by-day video exercises, self-symptom checking, advice on seeking further help if necessary, and may connect users to local health services. The following tasks are included,

1)      Investigating requirements and developing requirement specification

2)      Prioritising requirements and design the app

3)      Implementing the app

4)      Evaluating the app

Strong programming skills are required.

This project will also receive supervision from Prof. Carol Clark of the Faculty of Health and Social Sciences and Mrs. Emily Middleton of University Hospitals Dorset.

Shoulder pain is an issue that affects a significant portion of the population, with an annual prevalence of up to 46.7% and a lifetime prevalence of up to 66.7% according to Artus, et al, 2017. It is commonly managed in primary care settings and ranks as the third most common reason for musculoskeletal consultations. A considerable number of adults, approximately 3%, seek medical advice annually for new shoulder pain.

The project will closely work together with a physiotherapy to work on assessment of treatment progress. The following tasks are included:

1)      Identify assessment formats, e.g. static pictures-based assessment or shoulder motion based assessment

2)      Design assessment of the potential pain levels which may be related to different exercises for the selected formats. Developing related requirements

3)      Implementing the designed assessment method 

4)      Evaluating the designed assessment.

Strong programming skills are required. 

This project will also receive supervision from Prof. Carol Clark of the Faculty of Health and Social Sciences and Mrs. Emily Middleton of University Hospitals Dorset.

EduAbility considers assistive technologies for education and how these can be recommended to pupils who have special educational needs and disabilities.

How can you measure the performance of the library best?

• What test data represents a normal use case?
• How can you determine optimization opportunities?
• What optimizations are (most) effective?

xmlutil is found here

There are similar apps, so students need to revise the existing apps and make a good analysis. For example, Doodle is an example, but it has some user experience issues.

There are similar apps, so students need to revise the existing apps and make a good analysis. For example, draw.io is an example, but we need a more customised and simplified solution.

Students are expected to contribute to an ongoing project in Digital Health domain by having a relevant case study given by the supervisor.

You will need very strong mathematical background and interest in Quantum Computing.

Scientific papers published by researchers and scientists make significant contributions to the field of science. These papers are typically regarded as objective and impartial; however, it's important to recognize that emotions also play a pivotal role in shaping their findings. Understanding the emotions and motivations of researchers can foster a more empathetic approach to scientific collaboration and the decision-making process.

1. Are emotions disseminated through CAiSE conferences? 
2. Can we discern the prevailing emotions and emotional patterns within the abstracts of papers presented at CAiSE conferences?
3. Which method, between Lexicon-based and Machine Learning approaches, would be most suitable for identifying emotions in CAiSE conference papers? Why?

The growth of wireless devices and sensors usage have give rise to interest on understanding the behaviour of mobile ad hoc networks (MANET) (e.g., in terms of performance and resilience). In such networks, nodes are mobile and have limited connectivity capability. Under such conditions, the network topology evolve over time. In this project, the student is to study the topological properties of such networks with different mobility models under different settings. 

Student will be given pointers to relevant literature at the beginning of the project. 

Student is required to design and implement a basic MANET simulator with different mobility models. 

Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc.).

Objective: To Identify a subgroup of patients with acute clavicle fractures who would benefit from early surgical intervention

Background: This projects represents an exciting collaboration between the Trauma & Orthopaedic team at University Hospitals Dorset (UHD) and Bournemouth University.

The clavicle is a commonly fractured bone with approximatley 400 patients presenting to A&E at UHD per year. Patients can be treated wither using a simple sling or with surgery, which involves fixing the bone with plates and screws. The long term results of surgery and non-operative treatment are the same as long as the fracture heals.

However 15% of fractures treated with a sling alone do not heal (non-union). Most of these require delayed surgery (which is more difficult) and this leads to patient dissatisfaction.

At the moment there is no accurate way to predict who are the patients likley to develop non-union and would have therefore benefited from early surgery.

Similar studies using ML to predict hip replacement failure suggest that there are relevant features on x-rays that are iinvisible to the human eye. This technology has, as yet, not been applied to clavicle fractures.

Using the UHD fracture database we aim to develop and train a model to assess whether ML can see early x-ray features that predict clavicle healing?

A database of serial x-ray images, patient demographics and patient outcomes will be provided as well as support to provide clinical context to the research project.

Real world networks are often time-varying, i.e., the network topology changes over time. However, in the literature, most studies simplify these networks as static and thus, ignoring the time ordering of contacts which can be important to understand the information diffusion process taking place in the network. 

In this project, 

• Student is expected to simulate information diffusion processes in temporal networks and gain insights into the behaviour of these processes under different conditions. 
• Student will be given pointers to relevant literature at the beginning of the project.
• Student will be given access to various appropriate datasets.
• Student can freely choose the tool/programming language for this project (python, C/C++, Matlab, Octave, etc.)

Interested student can refer to the following paper as a start to understand the context:

https://www.nature.com/articles/s41598-019-43029-5

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group. 

Many real-world systems are interconnected (e.g., power grid and communication networks). Their inter-dependency could lead to what is called cascading failures in which failure from one network may affect the functioning of the other networks which in turn may affect the first network, causing a catastrophic degradation of the entire system. 

Interested student may refer to the following paper to get the context of this project:

https://ieeexplore.ieee.org/document/7497224

In this project, the student is expected to implement and simulate such cascading failures and study the robustness of inter-dependent networks. 

• Student will be given pointers to relevant literature at the beginning of the project.
• Student can freely choose the tool/programming language for this project (python, C/C++, MATLAB, Octave, existing network simulators, etc).

This project is associated under the Flexible and Complex Network (FLEXNET) Research Group.