Supervisors

You can find all supervisors in the Department of Computing & Informatics on this page by using the navigation on the right if you are browsing this page on a desktop computer. If you are using a mobile device, please click the Table of Contents on the top to expand the list. Please read their areas of interest and notes carefully and use the email address to contact them.

The list is alphabetically sorted, so please check all supervisors to find the perfect match for you.

Note:

1. Please do not contact a supervisor if he/she is already full. Those supervisors with an asterisk(*) indicate they are already full so they should not be contacted unless otherwise stated. Note this would not affect you if he/she has already agreed to supervise you.
2. Please do not just simply send an email to a supervisor and ask them whether they can supervise you. You should make an appointment with the supervisor to discuss your project idea.
3. All supervisors should be able to supervise any undergraduate projects regardless the degree title or the nature of the project so their areas of interest only suggest their interests not limits.

Academic Interests:

• Cloud security,
• Cryptography,
• Security analytics,
• Network security,
• Security awareness,
• Software defined security,
• Data security,
• Threat intelligence,
• Security management,
• Security monitoring,
• Anomaly detection.

Profile: https://staffprofiles.bournemouth.ac.uk/display/aawad

Email: aawad@bournemouth.ac.uk

Areas of interest:

• Machine Learning
• Deep Learning
• Data Science
• Computer Vision
• Biomedical Imaging
• Crowd Behaviour Analysis from Video Sequences
• Visual Attention and Visual Saliency
• Image Enhancement for Colour Blindness
• Human-Computer Interaction

Project ideas: You may want to participate in our ongoing international research projects with our team, such as in project S4AllCities (https://www.s4allcities.eu/) concerning AI for safer urban spaces. In it you may participate with us to investigate on:

1- Big data experimentations 2- Heterogeneous data aggregation and fusion methods 3- Cyber-traffic network attacks detection using machine learning 4- Physical intrusion detection and/or crowd behaviour understanding using computer vision and more…

I am keen to explore methods and techniques for detecting suspicious regions in biomedical images and quantify blood vessels in histological images. I also have some projects to analyse eye-tracking data and set up AI models to predict where humans look.

Profile: https://staffprofiles.bournemouth.ac.uk/display/abruno

Email: abruno@bournemouth.ac.uk

Areas of interest:

• Risk (perception, awareness, uncertainty etc)
• Cognitive Engineering (Modeling to improve decision making)
• Usable Security
• Security Requirements Engineering
• Privacy
• Compliance - Implementation and translation of security standards and regulation e.g., ISO 27001
• And more generally, anything in cybersecurity

Profile: https://staffprofiles.bournemouth.ac.uk/display/ammanga

Email: ammanga@bournemouth.ac.uk

Areas of interest:

• Social uses of technology (particularly by children and young people)
• Technology policy and law
• Digital and online rights
• Computer ethics
• Social responsibility in the technology sector
• The history of software engineering and technology
• Internet freedoms, free speech, etc

Profile: http://staffprofiles.bournemouth.ac.uk/display/aphippen1

Email: aphippen1@bournemouth.ac.uk

Areas of interest:

• Machine learning
• Deep learning
• Autonomous systems
• Sentiment analysis
• Explainable artificial intelligence
• Internet of things
• Smart cities
• Information security

Profile: http://staffprofiles.bournemouth.ac.uk/display/amalhi

Email: amalhi@bournemouth.ac.uk

My more focused areas of interest are:

• Biometrics; for example: face, gait, ear, and iris recognition
• Crowd and/or human behaviour analysis using computer vision

However, I will also be very interested in any idea in the areas of:

• Computer vision
• Image and video processing
• Machine learning
• Signal processing
• Transfer learning
• Deep learning
• Visual analytics

These can be applied in different application areas such as:

• Health care
• Earth observation
• Automated CCTV/security systems

and many more… even tsunami warning systems! If in doubt send me an email. I am always happy to explore ideas.

Profile: https://staffprofiles.bournemouth.ac.uk/display/barbabzavar

Email: barbabzavar@bournemouth.ac.uk

Availability:

• Undergraduate: Available
• Postgraduate: Available

Areas of interest:

• Accessibility - Topics I am interested in: Hearing Loss (Subtitles, Lipreading/Speechreading), Situational Impairments, Visual Impairments, Colour Vision Deficiency, Video Game Accessibility, Assistive Technology, Augmentation & Other Sensory Impairments
• Solution based development within any area of Human-Computer Interaction
• Solution based development within any area of User Experience (UX)
• Physical Computing, Sensing, Ubiquitous Computing, and Internet of Things

For more insight please read my Project Ideas: https://comp.bournemouth.ac.uk/wiki/doku.php?id=projects#dr_benjamin_gorman - these are not the only projects Ben would supervise but they should give you an idea of what he is looking for in a project.

Note:

• Ben is keen on supervising students interested in co-authoring research papers based on their final year projects. As such, he is happy to provide any additional support associated with this, and help in finding additional funding for students to present their work, either in the UK or internationally. This option will be of particular interest to those wishing to pursue doctoral research (PhD) after their masters degree.

Profile: https://staffprofiles.bournemouth.ac.uk/display/bgorman

Website: http://benjgorman.com/

Email: bgorman@bournemouth.ac.uk

Areas of Interest

• Cyber Threat Intelligence (CTI) – (contribution to https://echonetwork.eu/):
  • Actionable Threat Intelligence Collection
  • Actionable Threat Intelligence Generation (Malware Analysis – Reverse Engineering)
  • Trust and Quality of CTI
  • Applications/Ideas built on top of ATT&CK framework (https://attack.mitre.org/ )
  • Threat Modelling and Incident Response
• Malware/Ransomware (contribution to the https://nomoreransom.org project)
  • Ransomware Analysis
  • Decryptor Generation
• Malware – (contribution to https://echonetwork.eu/ ):
  • Graph Visualisation of Malware Indicators using d3.js
  • Intelligence collection & knowledge extension on behavioural signatures
  • Living-off-the-land binaries & Fileless malware
  • Memory forensics for malware (Investigations for Process Injection – Hallowing – Execution hijacking etc.)

Profile: http://staffprofiles.bournemouth.ac.uk/display/cyucel

Email: cyucel@bournemouth.ac.uk

David may not have places available for 2020-21. Please contact the Project Coordinator first before contacting him.

Area of interest:

• Networks (Switching & Routing , Wireless, Mobile etc);
• Multimedia;
• E-Learning – adaptive learning systems;
• Anything scientific/engineering based.

Note: other projects will be considered.

Profile: http://staffprofiles.bournemouth.ac.uk/display/dnewell Email: dnewell@bournemouth.ac.uk

Areas of interest:

• Machine Learning Algorithms and Intelligent Management of 5G and beyond-5G Systems
• Network Resilience, Software-defined networking (SDN) and Network Function Virtualisation (NFV) in 5G
• Artificial Intelligence applications in 5G, Deep Learning and Other Machine Learning Algorithms for 5G Networks
• 5G Enabled Digital Health, 5G verticals and 5G Enabled IoT
• Optical Wireless Communication Technology, Free Space Optics, Li-Fi, LED Communication, Localization and Sensing
• RF and Hybrid Systems, Underwater RF and Acoustic Communications, mmWave and THz Communications
• High-accuracy Positioning Systems and Intelligent Reconfigurable Meta-surfaces

Profile: https://staffprofiles.bournemouth.ac.uk/display/dwu

Email: dwu@bournemouth.ac.uk

Office: P316/or virtual on Team (Appointments are available for project discussions during 22 -30 Sept 2021, please email me to schedule an appointment)

Areas of interest:

• software engineering
• model driven software development
• modeling and simulation
• software requirements modeling
• business process modeling
• software reusability
• systems analysis and design
• data analytics and visualization
• conceptual modeling
• responsible software engineering and ethics in digital games

I am happy to discuss any project ideas. I am currently available for L6-Final Year Projects and L7-Masters Projects.

Profile: http://staffprofiles.bournemouth.ac.uk/display/dcetinkaya

Email: dcetinkaya@bournemouth.ac.uk

Areas of interest:

• Security and Privacy (Organisational and Design)
• Risk (Management, Assessment, Decision Making, Accountability & Responsibility), and Trust
• Human Factors, Human-Computer-Interaction, User Centred Design, Inclusivity/Accessibility/Usability, and Cyberpsychology
• Requirements Engineering, Socio-Technical Systems, and System of Systems Engineering

Duncan is keen on supervising self-motivated students with a keen research interest towards a combination of his noted ‘Areas of interest’. Ideally, this interest would extend towards a student’s desire to produce quality research that could potentially be repackaged and considered for co-authored publication of a research paper. Additional support and associated funding could be explored in such circumstances. This option would be suited towards those wishing to pursue postgraduate research, e.g. Masters or PhD.

Profile: http://staffprofiles.bournemouth.ac.uk/display/dkiaries

Email: dkiaries@bournemouth.ac.uk

Room: P427 (and virtually in Teams)

Areas of interest:

• Cyber intelligence
• Data mining
• Machine learning
• Intelligent systems
• Knowledge discovery
• Adaptive systems

Edward is happy to supervise any project that involves cyber intelligence and cyber security (cyber analytics, cyber threat intelligence, cyber risk analysis, cyber security management strategies) or related subjects (data mining, machine learning, intelligent systems, risk management). If you are a final year undergrad or Masters student and interested in any of the project areas at the link below, or have some cyber related ideas yourself, e-mail him.

Click here for Edward's project areas

Profile: http://staffprofiles.bournemouth.ac.uk/display/eapeh

Email: eapeh@bournemouth.ac.uk

Areas of interest:

Undergraduate final year projects:

• Machine Learning/Neural Computation.
• Any project involving software design and implementation.
• I am delighted to supervise many sorts of projects, please do not hesitate to contact me regardless the nature of your idea if you like.

Masters projects:

• Computational Neuroscience.
• Neural Computation.
• Time Series Prediction.
• Machine Learning.

Profile: http://staffprofiles.bournemouth.ac.uk/display/eb-ballester

Email: eb-ballester@bournemouth.ac.uk

Academic Interests:

• Applications of data science and artificial intelligence.
• 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
• User/Human/Consumer Behaviour
• Economics of information security
• Digital Healthcare innovations and Socioeconomic impact
• Application of machine and deep learning techniques to energy, emissions, and environment

Current Projects:

• The use of Business IT Management to upscale technology use through Innovative IT Solutions
• The development of a digital platform to enhance teacher feedback on Relationships and Sex Education for secondary school students in the UK
• Forecasting emissions policy post-pandemic using dynamic ARDl and Simulations
• Responding to crisis: Resilience, Response, and Recovery from the lens of Neural Network Patterns
• 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

Profile: https://staffprofiles.bournemouth.ac.uk/display/fadedoyin

Email: fadedoyin@bournemouth.ac.uk. Phone: 01202968189

Areas of interest:

• Software engineering
• Evaluation of software engineering projects
• Bug and fault finding
• Software metrics
• Data Quality, Data Cleaning and Data Preprocessing
• Prioritising Requirements according to Risk

Here are the points from my Options Day Talk

• Ideally some built artefact.
• I like the discussion and evaluation of bigger computing/software engineering issues.
• * E.g. comparisons of techniques, practices and technologies against metrics
• * Evaluation of publicly available projects, like github projects, would also be possible.
• * Naturally they all would need some coding

…

Email: gliebchen@bournemouth.ac.uk

Areas of interest:

• Human Computer Interaction
• Assistive Technology and Accessibility
• Digital Health and Wellbeing
• User Experience (UX) and Usability Engineering
• Human Factors in Cyber Security
• Systems Design and Modelling
• Systems of Systems
• Cyber Physical Systems

Profile: http://staffprofiles.bournemouth.ac.uk/display/hdogan HCI Research Group: http://hci.bournemouth.ac.uk/

Email: hdogan@bournemouth.ac.uk

Research Area interest:

• Privacy
• ContextuaL Integrity
• Open Data
• GDPR & Privacy Risk

I will also consider projects involving:

• Business Process Improvement
• Business Process Modelling
• Business Continuity
• Cyber Security
• E-Commerce/E-business
• Project management
• E-learning Platforms
• Ethics
• Methodology

Profile: https://staffprofiles.bournemouth.ac.uk/display/jhenriksenbulmer Email: jhenriksenbulmer@bournemouth.ac.uk

Academic Interests:

• Mobile ad hoc networks,

• Aeronautical ad hoc networks,

• Vehicular ad hoc networks,

• UAV Communication Networks,

• Routing/scheduling protocol design,

• Federated learning algorithms and their applications,

• Evolutionary algorithms and their applications,

• Edge computing,

Office: P316

Profile: https://staffprofiles.bournemouth.ac.uk/display/jzhang3

Researchgate: https://www.researchgate.net/profile/Jiankang_Zhang2

Google Scholar: http://scholar.google.com/citations?user=RJmysZYAAAAJ&hl=en

Welcome to have a chat if you are interested in a topic of my academic interests.

Email: jzhang3@bournemouth.ac.uk —

Areas of interest:

• Business process management and business process improvement
• Business process modeling and simulations
• Social media improving digital collaborative networks
• Chatbot improving business process collaboration
• E-business/e-commerce
• Project management
• Enterprise information systems
• ERP (Enterprise Resource Planning)/SCM (Supply Chain Management)/CRM (Customer Relationship Management)
• Smart factory, digital factory, and virtual factory

Predefined projects are strongly preferred.

Profile: http://staffprofiles.bournemouth.ac.uk/display/lxu

Email: lxu@bournemouth.ac.uk

Areas of interest:

• Computer Vision, including medical imaging - in particular, approaches to improve tracking speed and quality in videos like this one (I do have the required data!): https://www.youtube.com/watch?v=cKcoRPQfMQU
• Natural Language Processing (NLP) - in particular, approaches to automatically redact medical records by removing patient identifiable information like name or date of birth
• Machine learning
• Artificial Intelligence
• Social network analysis and mining
• Digital Health
• Mobile app development

Project ideas:

• Multiple, come and talk to me 💡
• All require decent coding skills

Profile: http://staffprofiles.bournemouth.ac.uk/display/mbudka

Email: mbudka@bournemouth.ac.uk

Availability:

• Undergraduate: Available
• Postgraduate: Available

Thesis Topics:

• Network simulations / protocol design and evaluation using NS3, Matlab, Cooja.
• Virtual Sensors
• Machine Learning/Data Analytics for IoT networked systems.
• Wireless Body Area Sensor Networks: proof of concept development (working with embedded systems like Bitalino)
• Cybersecurity training scenarios for IoT networks (Contiki-NG Testbed)

A good project proposal is one that answers the following three questions: a) What problem do you address? b) What will your deliverable be? c) How will you develop/deliver your deliverable and how will you evaluate it?

I am keen in collaborating with students willing to work in state-of-the-art research topics (both applied and fundamental). High-quality projects will be considered for being published in academic conferences or journals. In this case, support will be available for securing funding for the students to present their work in national and international conferences.

Profile: http://staffprofiles.bournemouth.ac.uk/display/mangelopoulos

Email: mangelopoulos@bournemouth.ac.uk

Availability:

• Undergraduates: Not Available
• Masters: Available

Area of interest:

• Any type of project

Note: Melanie is happy to discuss any type of project however her main focus is development of some kind (web, mobile etc), either for an existing client or a particular market

Profile: http://staffprofiles.bournemouth.ac.uk/display/mcoles

Email: mcoles@bournemouth.ac.uk

Areas of interest:

• Cyber security
• Security and scalability of distributed ledger technologies (blockchain)
• Digital forensics( e.g. new digital forensics tool which uses machine learning techniques to detect cyber attacks).
• Machine learning in Cyber Security ( e.g. Cyber attack detection based machine learning).
• Security in E-voting systems ( e.g. Improve voter's usability while applying complex security measures).

You may want to participate in our ongoing international research projects with our team, such as in project S4AllCities (https://www.s4allcities.eu/) concerning AI for safer urban spaces. In it you may participate with us to investigate on:

1- Big data experimentations 2- Heterogeneous data aggregation and fusion methods 3- Cyber-traffic networks attacks detection using machine learning 4- Physical intrusion detection and/or crowd behaviour understanding using computer vision and more…

Profile: http://staffprofiles.bournemouth.ac.uk/display/msallal

Email: msallal@bournemouth.ac.uk

Areas of interest:

• Technical solutions showing novelty and innovation in digital health.
• Technical solutions based on emerging technologies (e.g., IoT sensors, microcomputing, chatbots etc.)

Note:

• Nan is not interested in supervising “typical” web development projects, literature-based research projects unless you have a very cool idea - please check with him first.
• Nan is expecting a student to have good technical skills or willing to take technical challenges before contacting him.

Profile: http://staffprofiles.bournemouth.ac.uk/display/njiang

Email: njiang@bournemouth.ac.uk

Areas of interest:

• Business and IT alignment
• Digitalization of public services
• Strategic agility and technology advances in different industries
• E-learning - Remote learning in times of a crisis e.g. COVID-19
• Gamification
• Social technologies and methods
• Scenario planning
• Digital transformation of SMES in times of crisis e.g. COVID-19
• Technology application in Agriculture

Some specific research topics:

1. An analysis of ACM’s curricula recommendations in ICT https://www.acm.org/education/curricula-recommendations to establish the significant differences and similarities between the curricula in different ICT fields. Develop a visualisation tool to demonstrate the features of each field. Make comparisons with other ICT curricula recommendations in other countries, e.g., UK, Australia, Europe, etc. (Business IT project)

2. Develop a system to gather and analyse IT skills derived from IT job ads in the UK market. Build profiles of different industries, e.g., software engineering, project management, systems development, security, etc. Identify differences and similarities between different sectors within the IT industry. Devise a report that considers the state of the IT employment market by consulting industry, government, and professional body inputs.(Software development project)

3. Develop a system to gather and analyse programme specifications of undergraduate IT degree courses in UK universities. Use input from HESA, UCAS, and other bodies to establish the size of the IT degree course provision in the UK and identify differences or commonalities between different types of IT courses, e.g., level of software development in cyber security vs data science. (Software development project)

Profile: https://staffprofiles.bournemouth.ac.uk/display/nmavengere

Email: nmavengere@bournemouth.ac.uk

Areas of interest:

• Information system design
• Information system development
• Process aware applications
• Web mashups
• Web services (design, usage, integration, composition)
• Enterprise Information Systems
• Innovative uses of IT to solve real-world problems
• Innovative programming approaches
• NOTE Just making a website is not enough for a good project

Most importantly, my approach to problems:

• A project is about solving a problem - answer a question
• The overriding project objective is: “to answer the question”
• The most common role of the artifact is to help with evaluating the solution
• “there is not enough software” is a poor problem
• Very few students can come up with good plans on their own, talk to me!
• For MSc students: Talk to me before you start writing a plan (or even before you do research methods) - otherwise you will likely have to throw a lot of work.

Concrete projects Dr. de Vrieze has a number of past concrete projects available in the project list. New projects may be available in the future.

Profile: http://staffprofiles.bournemouth.ac.uk/display/pdvrieze

Email: pdvrieze@bournemouth.ac.uk – Note, projects are only taken on after a face-to-face talk

Areas of interest:

• Assistive Technology
• Human Centred Design
• Human Computer Interaction
• Human Factors
• Requirements Engineering
• Systems of Systems
• Usability Engineering

Dr Whittington is happy to discuss any Final Year or Masters projects in these domains.

Profile: http://staffprofiles.bournemouth.ac.uk/display/whittingtonp

Email: whittingtonp@bournemouth.ac.uk

—

Projects for those who are not sure what they want to do

Project 1: Creating a scalable on-line assessment system It is straightforward to put lectures on line for mass-learning. Many have done this on YouTube and lectures receiving over 1M hits are common. What is not so straightforward is how to organize these into a teaching programme. The difficulty comes with the assessment/creditation part of the system. How do you assess 100K or 1M subscribers to your programme? One way to do this is to set up systems in which the assessment is generated by the students who use it and for the students to create questions for other users. I have some ideas how this could be done in practice and I would be looking to work with a student who is interested in this kind of educational/web project. You would need to be confident in your creation/implementation of a web app or mobile app system which could run this kind of scalable assessment.

Project 2: Developing a guided paper writing tool for students Most students who have never written an academic paper before find it difficult to know where to begin. I have a ten step programme which guides students through the process. I would like to have this set up as a web-based tool which not only guides students through the process but provides some basic feedback. You would need to be confident in your creation/implementation of a web app. Contact me for more details.

Areas of interest:

• Consciousness/Thought/Computational Intelligence
• Complex (mathematical) networks
• Ontologies/Knowledge systems
• Quantum aspects of computing
• Also interested in any educationally based projects

Email: daviesp@bournemouth.ac.uk

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)
• 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.
• Implementation of text editor and automated contracts completion system for a law company (2 projects, Software/ML)
• Prediction of meme life period.
• Anti-phishing app for mobile devices. (ML/Software)

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

Sofia is a Principal Academic in Systems Engineering. Sofia is happy to supervise students who have research interests in the following areas:

• Software/systems with or not smart elements (IoT and/or data science)
• Compliance with regulations such as GDPR
• Business processes and business process improvement (business report) but has to contain innovative ideas beyond the conversion from paper-based to IT-based.
• Simulation projects
• Data science projects mainly for finances

Projects for the indecisive: 1. GDPR compliance projects 2. Smart contracts for blockchain architectures

Note:

• Sofia would like to supervise projects that result in the creation of an artefact (software and/or system design expressed in SysML, software/system development, report) with the latest technologies that could lead to a publication as well as research projects.

Profile: http://staffprofiles.bournemouth.ac.uk/display/smeacham

Email: smeacham@bournemouth.ac.uk

Areas of interest (but by no means limited to):

• Programming
• Software Engineering
• Software design
• Web design and implementation
• Computing education (idea available on enquiry)
• Online learning and blended learning

More specific ideas:

• A programming platform for teaching that includes checking exercise solutions
• Website for the Taxonomy of Video Feedback that will include functionality to accept contributions of practice details by academics

Profile: http://staffprofiles.bournemouth.ac.uk/display/satfieldcutts

Email: satfieldcutts@bournemouth.ac.uk

I have now been involved with engineering and computing for over 40 years (including study)! This has given me experience in a wide range of areas from cloud computing through to games and media technology as well as industrial measurement and control systems. For a more detailed breakdown see https://www.smugmug.com/gallery/n-rWWG7s/i-xDzsngt/A.

Areas of particular interest:

• Web and cloud computing-based development.
• BIT projects involving the application of technology to provide solutions to business.
• Computing in education.
• DevOps/Shift Left approaches.

Profile: http://staffprofiles.bournemouth.ac.uk/display/torman

Email: torman@bournemouth.ac.uk

I can only supervise topics aligned with the following projects:

• Malware/Ransomware (contribution to the https://nomoreransom.org project)
• Malware - contribution to https://echonetwork.eu/:
  • Graph Visualisation of Malware Indicators using d3.js
  • Creating malware intelligence reports (STIX, EWS, PDF)
  • Malware threat intelligence (Look for hashes in the National Software Reference Library. database; scan the sample in antiviruses, ClamAVscan, Virustotal, Hybrid analysis, vtsearch, metadefender; MITRE ATT&CK methodologies mapping to malware functionality; Chronological data about the malicious file, i.e. first appearance, increase in time; Any publicly available weaponisation in any APT campaigns; Publicly available information on cyber attribution;Related vulnerabilities and information on relevance; Digital Signing of the malicious executable)
  • Integration with static or dynamic analysis tools (e.g. entropy calculation, extraction of textual features of the executable file, impfuzzy library, calculate hashes from import API of PE files, extract metadata from microsoft office documents, pdf files using the libraries pdfinfo, officemeta)
  • Cross-checking OSINT with extracted binary hashes.
• Contribution to BU-CERT (https://cert.bournemouth.ac.uk/)
• Contribution to IDEAL-CITIES project https://www.ideal-cities.eu/: participation in development of the participatory sensing platform. You will be using one or more of the following technologies:
  • Flutter
  • MQTT
  • Android API
  • Minikube (Kubernetes)
  • Angular/React
  • Prometheus monitoring tool

Profile: http://staffprofiles.bournemouth.ac.uk/display/vkatos

Email: vkatos@bournemouth.ac.uk

I've got the background to supervise most computing pathways at UG and PG, including general computing, software engineering, data science and AI, and, to some degree, business and security.

Areas of interest:

• Data Science and Artificial Intelligence, e.g.,
  • Machine Learning
  • Predictive Modelling
  • Search and Optimisation (e.g., application of genetic algorithms)
• Social Network Analysis (e.g., working with graph databases, network visualisation, etc)
• Agent-Based Simulation Modelling (e.g., of social networks)
• Full-stack Software Development/Engineering
• eHealth and other application areas that have a positive impact on people and/or the environment

Project ideas: https://comp.bournemouth.ac.uk/wiki/doku.php?id=projects#dr_vegard_engen_dr_v

• My door is open for any ideas!

Profile: http://staffprofiles.bournemouth.ac.uk/display/vengen

Email: vengen@bournemouth.ac.uk

Location: P429

Areas of interest:

• Latest networking paradigm (e.g., Information-centric networking (ICN), Software-defined networking (SDN), Network Function Virtualisation (NFV), etc.)
• Complex network analysis (ranging from natural networks (e.g., hub protein, brain structure, (online) social networks, etc.) to manmade infrastructures (e.g., transportation systems, utility networks, telecommunication and computer networks, etc.)
• Modelling of spreading processes in networks (e.g., information diffusion)
• Network performance and resilience (e.g., impact of network failures, protocol efficiency, etc.)
• Communications in cyber physical systems (e.g., smart grid, smart city, etc.)

I particularly welcome students who are willing to challenge themselves with state-of-the-art research work (both applied and fundamental). Good work / results will be considered for publications.

Profile: http://staffprofiles.bournemouth.ac.uk/display/wchai

External homepage: https://www.ee.ucl.ac.uk/~wchai/

Google Scholar page: https://scholar.google.com/citations?user=pwvmL7EAAAAJ&hl=en

Email: wchai@bournemouth.ac.uk

My Core Research Areas of Interest:

• Artificial Intelligence
• Human Behaviour Detection
• Natural Phenomena Detection
• Computer Vision for Scene Understanding
• Knowledge extraction and Machine Intelligence
• Advanced Situational Awareness
• Cyber-Physical Behaviour Detection
• Critical Decision Support Systems
• Digital twins
• Big Data Analytics
• Data Fusion and modelling

- Applied to Strategic defence, safety and security for the prevention of crimes and protection of critical infrastructure - Applied to human behaviour understanding, personalised medical care - Applied to Impact of Climate Change on animal behaviour

My Profile: https://staffprofiles.bournemouth.ac.uk/display/zsabeur

Project ideas: You may want to participate in our ongoing international research projects with our team, such as in project S4AllCities (https://www.s4allcities.eu/) concerning AI for safer urban spaces. In it you may participate with us to investigate on:

1- Big data experimentations 2- Heterogeneous data aggregation and fusion methods 3- Cyber-traffic networks attacks detection using machine learning 4- Physical intrusion detection and/or crowd behaviour understanding using computer vision and more…

Alternatively, I am happy to discuss your own interest in computer science, computing and informatics for pursuing your research. My experience in those domains is very diverse following my long running experience in applying them in both industries and academia over the years. I can provide you guidance for the development of your original ideas. Thus, please find below some aspects of potential project topics that you may want to factor in within your individual project ideas which you have in mind. I am also happy to discuss it online via MS Teams in order for you to factor in approaches to topics prior to finalising the submission of your individual project proposal.

- Critical Decision Support 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

- Crowd Behaviour Understanding: Using Computer Vision and deep learning

- Cyber Attacks Monitoring; Using Machine learning for Automated Anomalies Detection

- Big Data Scalability Experimentation. Using Spark or Hadoop ecosystems with distributed Artificial intelligence for cyber attacks detection

- Healthcare: Human Chronic Obstructive Pulmonary Diseases (COPD) Exacerbation Events understanding using Artificial Intelligence

- Security: Urban Crime Understanding using Open Police crime Data Analytics

- Environment: Animal Habitat and Behaviour Changes due to Climate Change using open Geospatial Observation Data Analytics

- Environment: Early Detection of underwater landslide events using the UK National Oceanography Centre Acoustic Imagery observation Data

Basic Skills Requirements: Ready to programming in python, Java, matlab, or R and the respective scientific libraries

Desirable: Hadoop Ecosystems, including spark, for Big data distributed storage, processing and AI.

Contact Email: zsabeur@bournemouth.ac.uk

Availability: Currently for Both Postgraduate and final Undergraduate projects. I will also discuss and advise you on strategizing on launching your project, ethics checklist, literature reviews and milestones targets. These will aid you into reaching your objectives and results on time.

Note: Your research experience in this will initiate you to real world problems solving, based on solid scientific experimentations approaches and formalised research methods. Also, it will advance you into potentially gaining a strong mindset in writing up good papers in journals and/or conference proceedings for science and engineering, as it was achieved together with my previous students over the years.