Supervisor suggested projects
In this page, you will find some project ideas proposed by the supervisors.
List is alphabetically sorted, so please check all supervisors to find the perfect match for you.
IMPORTANT NOTE: Please note that you must contact the supervisor directly to discuss about the project idea. You cannot use their ideas without informing the supervisor who proposed it.
Dr Abir Awad
Provenance based security analytics
Assessment of security compliance of cloud providers i.e. Evidence-Based Trust Evaluation System (using Cloud Trust Protocol (CTP))
Security awareness in the cloud
Incident management automation and incidents information sharing
Simulation of Security Attacks
A security approach using artificial intelligence
Smart home security
Security situational awareness and visualisation of current level of security state/risks in the industry
Risk assessment/measurement when moving to the cloud
Searchable encryption. Efficient method to search over encrypted data/images
Cyber security teaching and learning
Contact her at: aawad@bournemouth.ac.uk
Dr Alessandro Bruno
Alessandro is interested in projects related to:
Computer vision
Artificial Intelligence
Image and Video Analysis
Data Analysis
Project topics offered:
I am keen to explore new topics with students. Drop an email message and talk about it.
Contact him at: abruno@bournemouth.ac.uk
Dr Andrew M'manga
Andrew is interested in projects related to:
Designing to facilitate decision making in risky and uncertain environments e.g. Cyber Security, Military, Coastguards, Firefighting, Aviation, Epidemics etc.
Cyber security management
Security audit and compliance
Risk perceptions in cyber security
The role culture plays in cyber security expert decision making
Addressing empirical data elicitation challenges in cyber security
Modelling obstacles and consequences to cyber security decision making
Researching the use of VR for improved cyber security and awareness
Contact him at: ammanga@bournemouth.ac.uk
Dr Benjamin Gorman
Generally, I'm interested in any idea around an aspect of Human-Computer Interaction, or Accessibility. I like to supervise solution-based projects. Below you will find the Problem (what are you trying to solve with computing), Motivation (why is it an important problem to solve?), Solution (what is your computing-based solution?), and Evaluation (how will you check whether you solved the problem?) for each of these ideas.
Make sure you have reviewed the handbook for the projects and you understand what the artefact requirements are for your degree title. You must also ensure the topic fits within your degree title as well.
0. Emoji Gesture-Based Keyboard Input:
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
1. Object-Based Media Enhancements
2. Online Meeting Enhancements
Problem: People sometimes engage too much or not at all within large meetings (e.g., staff or group meetings).
Motivation: This is bad for making sure all voices are evenly heard.
Solution: Develop different concepts to improve this situation. Current ideas might involve reducing the size of the participant's video screen for every second they are talking. Or enabling a “respawn” rate on unmuting or raising your hand.
Tracking this sort of thing post-meeting could show how people interacted.
This project would involve building a web-based video chat environment and then applying different modifiers such as described. You would likely need to use Javascript, Node.js, and WebRTC (Web Real Time Communication).
3. Speculative Crypto/NFT-based projects
NFTs (Non-fungible tokens) have been very popular so far in 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?
Contact him at bgorman@bournemouth.ac.uk
Dr Deniz Cetinkaya
Research Topics:
software engineering practice and methodology
model driven software development
modeling for Internet of Things
data analytics and visualization
knowledge engineering, conceptual modeling
domain specific modeling, metamodeling and model transformations
automated software development and code generation
responsible software engineering and ethics in digital games
modeling and simulation, agent based discrete event simulation
software requirements modeling, business process modeling, software reusability
Project ideas with my PGR students:
Project ideas in SPEED (Smart Ports Entrepreneurial Ecosystem Development) project (https://www.interreg2seas.eu/nl/speed) which is about contributing to a smart ports innovation ecosystem that bridges the port logistics stakeholders and smart technology providers.
Developing a crowdsourcing platform
Modelling and simulation of smart ports and port logistics systems
Decision support systems using sensors and smart technologies to improve air quality
Improving the usability and user experience of a web portal by implementing new features (this project requires understanding the existing code and working with it)
Project ideas in S4AllCities project (https://www.s4allcities.eu/) concerning AI for safer urban spaces. In it you may participate with us to investigate on:
Cyber-traffic networks attacks detection using machine learning
Heterogeneous data aggregation and fusion methods
Using the de-facto Multi-Level JDL Data Fusion Framework (Joint Directors of Laboratories Framework) for advancing cyber situational awareness and beyond
Decision support systems using advanced situation awareness in cyber-physical security
Project ideas by SportBU:
Premium Members App: Last year SportBU launched a virtual premium space that provided BU&AUB students, staff and local community to access additional content on top of their current membership package. This could include a variety of content from Training plans and to dietary advice, to competitions and specialist blogs. We are looking for a suitable alternative software which we can offer to our premium members as a dedicated platform, with the sole purpose of enhancing the member experience.
Campus League Football Portal: Any football Fans out there?! SportBU is looking for a solution to the way we manage our league signups, ticket sales and payments. Having this dedicated platform would massively enhance the average user experience, in line with the BU 2025 strategy. Certain expected features would be player profiles, fixtures details, points table, league chat rooms and would be monitored by users at SportBU.
A SportBU representative would be assigned to you to aid you through the BU related briefing process and would be your main source of contact for the project as well as for reference should you require it. Any queries regarding the SportBU projects or interested in pursuing, please email sdewdney@bournemouth.ac.uk and cc Deniz.
For all projects:
Skills Requirements: Programming, focus on high quality software, analysis and design skills, working with respective scientific libraries, etc.
In addition, engagement and good time management too. :)
Contact her at: dcetinkaya@bournemouth.ac.uk
Dr Edward Apeh
Project Area 1: Data security and privacy compliance monitoring and violation detection
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.
Possible projects include:
develop and implement techniques not only to detect violations, but also to identify the cause of violations
improve tool's performance by carefully adapting data structures and query evaluation techniques from databases and stream processing
apply, adapt, and extend already developed monitoring techniques to real-world case studies in domains such as intrusion detection or run-time verification
investigate and implement techniques for identity and access management
analyze and improve techniques for monitoring indicators of compromise and during and after attacks
comparative analysis of control measures with the aim of recommending the appropriate corrective measures to put in place to ensure prevention and early detection of intrusions.
Project Area 2: Cyber Threat Intelligence
It is estimated in media reports that the majority of companies have suffered at the hands of cyber intrusions; this supposition is most probably accurate, and the extent is far worse than published, with large scale exfiltration of intellectual property and trade/national secrets. It should be noted that many companies that were compromised had sophisticated IT security controls in place but malware still got through.
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:
develop and implement an actionable intelligence platform
develop a model for threat landscape understanding
develop a framework for threat actor identification, monitoring and intervention
develop and implement techniques for threat actor profiling
investigation of cyber-criminal ecosystem, their organizational structures and business models
Project Area 3: Cyber security risk analysis and management strategies
Significant effort have been undertaken by both private and government organizations to raise their cyber security capability. However, the daily occurrence of new and advanced cyber-attacks and attack vectors has perpetuated the general lack of understanding of cyber security (especially by non-IT individuals) and has made the measurement as well as enhancement of an organisation's cyber security capability a moving target.
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:
develop and/or enhance techniques for continuously gauging an organization’s cyber security capability/maturity and recommending improvements
investigate and develop a framework for secured application development and deployment
develop bespoke cyber security awareness and training procedures that specifically address the work culture and needs of a chosen organization or enterprise
Miscellaneous project areas
Other project areas include investigating and developing solutions in areas covering malware analysis, context-based security, cyber security related data mining and machine learning problems (e.g. indicators of compromise feature monitoring and extractions, sample-sizing, concept-drift, etc.).
Contact him at: eapeh@bournemouth.ac.uk
Dr Festus Adedoyin
A Simulation experiment for climate change policy options in the UK
A Digital Consultation Platform for managing healthcare service delivery to LGBTQ+ People Living with HIV/AIDS in Nigeria
Upscaling Technology Use for medication delivery to males who have sex with other males (MSM) and transgender people through Innovative IT Solutions
The development of a platform for encouraging learning, teaching, and feedback collation
Contact me at: fadedoyin@bournemouth.ac.uk
Dr Gernot Liebchen
General
Interested in software engineering and computing projects, but have supervised other projects in the past.
Interested in verification of software engineering practices.
Interested in data quality, software quality, data cleaning, effort recording.
Projects
Refactoring and extension of a crowdsourcing platform that connects challenge providers with solution providers.
Meeting Speaker IndicatorA tool that indicates to a video meeting attendee how long they have spoken in comparison to other participants.
Contact him at: gliebchen@bournemouth.ac.uk
Prof Hamid Bouchachia
Topics of interest
Machine learning
Artificial Intelligence
Data mining
Pattern recognition
Applications: Big data Platforms, Intelligent Environments (Smart Homes, Smart Factory, Smart Classroom, Smart Cities), Smart Energy, Telecare, Manufacturing, and Internet of Things … among others.
Students should be ready to do programming.
Current open project ideas (for the academic year 2019/2020):
Medical imaging
Intensive care
Smart homes
Smart energy
Chatbots
Learning analytics
Some of these ideas can accommodate up to 3 student projects. For a formal description of each of these ideas/projects (full descriptive text will be provided), please get in touch with HB. [office hours: Monday 11:00-14 or email see below].
But overall, I am happy to discuss any other project ideas.
I am currently available for L6-Final Year Projects and L7-Masters Projects.
Contact him at: abouchachia@bournemouth.ac.uk
Dr Huseyin Dogan
P1: Health and Wellbeing Application Development for the Police Force. Clients: Hampshire Constabulary and Dr Huseyin Dogan.
P2: Authentibility Pass (Digital Passport for Accessible Authentication): determine the most appropriate authentication factors for people with reduced cognitive and/or physical abilities. Clients: CyberASAP, Dr Paul Whittington & Dr Huseyin Dogan.
P3: Evidence-based pregnancy dietary digital toolkit for the management of Gestational Diabetes Mellitus. Clients: Dr Fotini Tsofliou (HSS) and Dr Huseyin Dogan.
P4: Complex needs in primary care: designing an app for promoting self-care of people sleeping rough. Clients: Dr Vanessa Heaslip (HSS) and Dr Huseyin Dogan.
P5: Assistive Technology for Special Educational Needs and Disability (AT4SEND): developing an assistive technology for education toolkit (AT4Ed) to promote and encourage all-inclusive education. Client: Dr Paul Whittington & Dr Huseyin Dogan.
P6: SmartAbility App development: detection of user abilities and development of integrated assistive living technologies. Client: Dr Paul Whittington (BU) & Dr Huseyin Dogan (BU).
P7: Designing a smart care home User Interface (UI) for the ageing population. Client: TBC.
P8: Development of Usable Security heuristics that can be used to enhance trust in User Interfaces for mobile financial services. Client: Stephen Ambore (Head of Digital Financial Services, Central Bank of Nigeria)
P9: Data analytics and human behaviour analysis centred on Anti Money Laundering (AML). Client: TBC, Dr Huseyin Dogan.
Contact him at: hdogan@bournemouth.ac.uk
Dr Marios Angelopoulos
Topics:
Algorithmic aspects of Wireless Sensor Networks
Internet of Things (IoT)
Algorithmic aspects of Wireless Power Transfer
Crowdsourced Systems
Artificial Intelligence and IoT
Contact him at mangelopoulos@bournemouth.ac.uk
Note: Good quality projects will be considered for publication in international conferences.
Dr Nan Jiang
Develop a multiple object collision control framework based on
HTML 5 canvas.
Design and develop a universal gamification service to enable gamification feature in existing apps.
Develop a chatbot for improving website navigation.
Contact him at njiang@bournemouth.ac.uk
Further reading:
Dr Rashid Bakirov
My main interests are listed below, but I am generally happy to supervise any data science / software development related project. I am particularly interested in the projects related to application of data sicence to the pop culture and sports.
Areas of interest:
Machine learning
Data science
Adaptive systems
Using ML for sports, music, culture, arts, and video games
Image recognition
Related software development
Potential projects (masters and undergraduate):
Implementation of adaptation techniques for auto_sklearn toolbox. (ML)
Streaming machine learning with deep neural networks. (ML)
Adaptive mechanisms for lifelong learning (ML)
Implementation of robot picker arm for RaspberryPi / Jetson Nano based robot. (ML, Hardware)
Tool for comparison of electricity prices (ML/Software)
Anti-phishing app for mobile devices. (ML/Software)
Hand-writing comparison with one-shot deep learning network. (ML)
Automatic marking tool. (ML/Software)
Implementation of computer vision and/or navigation (SLAM) for mobile robots.
Prediction of meme life period.
The details of the project can be agreed with the interested students. I encourage to publish the results of the project and can assist in securing funding for attending a conference.
Profile: https://staffprofiles.bournemouth.ac.uk/display/rbakirov
Email: rbakirov@bournemouth.ac.uk
Dr Wei Koong Chai
Topics:
Information-centric networking (ICN)
Complex network analysis
Modelling of spreading processes in networks
Network Resilience
Communications in cyber physical systems (e.g., smart grids)
Projects:
Information resilience for communication networks in disaster scenario
Information dissemination in mobile networks
Spreading phenomena in critical infrastructure networks (e.g., transportation systems such as rail/air/road, communication networks, etc.)
Robustness of inter-dependent networks
Analysis of multiplex networks
Modelling and Analysis of time-varying networks (including network formation and evolution)
Content caching problems in Information-centric networks
Contact him at wchai@bournemouth.ac.uk
Note:
Dr Lai Xu
Dr Paul de Vrieze
Dr Sofia Meacham
SW design and development projects:
eLearning - Education:
Software development for adaptive VLE
Interface Design:
Explainable AI (interface design and social aspects for classification algorithms).
System modelling:
Using real-world problems
Business processes:
Using real-world problems
More on specific external projects.
Contact her at: smeacham@bournemouth.ac.uk
Dr Vegard Engen (Dr V)
I'm open for ideas and can support most of our computing programmes!
Some general project ideas:
Visualisation and search application for local food / resources offered by independent sellers
WebApp / Dashboard for social networks analytics
For a company / brand
For a topic / area
Evaluation of semi-supervised machine learning methods (to solve a novel problem)
Evaluation of multi-objective search and optimisation methods (to solve a novel problem)
Evaluation of state-of-the art methods for dealing with class imbalance (to solve a novel problem)
Some more advanced project ideas:
Optimising student/staff timetables (if you're taking L6 Machine Intelligence or L7 Search and Optimisation, do consider this one!)
Automatic generation of variations of questions (text) for chatbot training datasets (natural language processing)
Evolution of artificial neural networks (e.g., for classification - can be single or multi-objective)
Novel classifier ensembles, e.g.,
Evolving composition of ensembles
Hierarchical ensembles (e.g., for certain multi-class problems that have a binary nature, like health or intrusion detection)
My interests: https://comp.bournemouth.ac.uk/wiki/doku.php?id=supervisor#dr_vegard_engen_dr_v
Profile: http://staffprofiles.bournemouth.ac.uk/display/vengen
Email: vengen@bournemouth.ac.uk
Location: P429 (or online)
Appointments available for L6 project discussions