Computer Science · Cybersecurity · Cyber Range Architectures
PhD Researcher in Computer Science at Nottingham Trent University, specialising in cybersecurity, hybrid cyber range architectures, cyber-physical systems, and AI-assisted security testing. My research focuses on developing secure, scalable, and realistic cyber experimentation and training environments.
About
My academic and professional work sits at the intersection of computer science, cybersecurity, software engineering, AI-assisted testing, and cyber-physical systems. I am particularly interested in how secure, realistic, and scalable cyber training environments can improve cyber resilience in academic and industrial contexts.
Before starting my PhD, I completed an MSc in Software Engineering and Applications with Distinction from the University of Bedfordshire and worked across software quality assurance, test automation, API testing, CI/CD, performance testing, and security assessment.
PhD
Computer Science, Nottingham Trent University
IEEE
Conference author
4+
Years in software testing and automation
MSc
Software Engineering with Distinction
Current PhD Research
This research investigates how physical infrastructure, virtual machines, containers, and cloud services can be integrated into a hybrid cyber range architecture for cybersecurity training, experimentation, and evaluation. The project focuses on realism, scalability, security, reproducibility, and practical deployment.
My aim is to contribute to next-generation cybersecurity training and experimentation environments by designing a hybrid cyber range model that is technically robust, measurable, and useful for both academic research and real-world cyber resilience training.
Research Focus
Designing environments that combine on-premises, virtualised, containerised, and cloud infrastructures for realistic cybersecurity experimentation and training.
Investigating secure approaches for modelling, testing, and training in cyber-physical environments where digital and physical systems interact.
Exploring how AI and large language models can support test generation, vulnerability analysis, scenario design, and security automation workflows.
Developing evidence-driven metrics for realism, scalability, cost, security isolation, reproducibility, deployment time, and training effectiveness.
Publications
A multipurpose UAV system study focused on emergency delivery, surveillance, and practical drone implementation.
Conference presentation on LLM-assisted software testing and test maintenance for web application changes.
Future publications will focus on cyber range architecture design, evaluation metrics, security training realism, scalability, and AI-assisted scenario generation.
Awards & Funding
Nottingham Trent University · Awarded to undertake doctoral research in Computer Science focusing on hybrid cyber range architectures, cybersecurity, and cyber-physical training environments.
University of Bedfordshire · Recognised for the MSc project "Howdy", a defensive voice assistant system addressing voice squatting, voice masquerading, and web threats.
North South University · Awarded for a capstone project developing a multipurpose UAV concept for delivering medicines and emergency supplies during public health emergencies.
Academic Profiles
Selected Projects
LLM-assisted multi-framework test case generation platform for web, API, and natural-language inputs.
View on GitHub
Automated information-gathering and security assessment toolkit for structured reconnaissance workflows.
View on GitHub
Performance and load testing platform designed for automated experiment execution and downloadable reporting.
View on GitHub
Industry-aligned E2E automation framework with POM, reporting, tagging, CI/CD, and scalable test organisation.
View on GitHub
Experience
2026 — Present
Nottingham Trent University
Researching cybersecurity, hybrid cyber range architectures, cyber-physical systems, and AI-assisted security testing for secure and realistic training environments.
2024 — Present
Designed and maintained automated test frameworks for web and API systems, applying CI/CD-driven testing, regression testing, security testing, and performance validation.
2023 — 2024
University of Bedfordshire
Graduated with Distinction. MSc project focused on AI-based defensive voice assistant systems for voice-based cyber threats. Awarded Master's Project Best Poster.
2020 — 2022
Worked across manual testing, exploratory testing, regression testing, integration testing, performance testing, and web security testing.
2013 — 2020
North South University
Studied algorithms, software engineering, computer networks, databases, and systems. Co-authored IEEE publication on multipurpose UAV systems.
Get in touch
I am open to academic collaboration, research discussions, conference opportunities, open-source projects, and industry conversations around cybersecurity, software testing, and security automation.