Dr Lu is an experienced academic and researcher specialising in computing, data science and artificial intelligence (AI). His research focuses on developing and applying algorithms to address organisational, technological and societal challenges. He has an established record of research and publication and has contributed to a focused range of advanced computing and algorithmic research activities. His work brings together methodological development and practical application, with particular interests in intelligent systems, machine learning and the technical implementation of emerging technologies. Alongside his research, he has extensive experience in academic leadership, including leading research groups and postgraduate computing programmes. He is committed to developing rigorous technical environments, supporting colleagues and early-career researchers, and building strong foundations in computer science research and education. His teaching philosophy combines research-led education with hands-on, technical skill development. He has substantial experience in postgraduate research supervision and has supported doctoral researchers through the full research journey from project development and algorithmic design to publication and successful completion. His teaching and academic leadership are informed by active computing research, with a strong emphasis on developing students' analytical, programming and technical capabilities and preparing them to address complex technological challenges. He welcomes PhD applications in AI and business applications. (https://www.linkedin.com/feed/update/urn:li:activity:7492874025778540544/)
This PhD project explores how Natural Language Processing and large language models (LLMs) can help us understand and tackle disinformation across digital platforms. It looks at how LLMs both fuel and detect misleading content, following the full lifecycle from creation to spread and impact.
You'll develop computational frameworks to simulate disinformation campaigns, spot linguistic and semantic patterns, and strengthen automated detection systems. There’s a strong focus on clarity, robustness and the responsible use of LLM‑based tools.
By combining advances in NLP with insights from communication and social sciences, the project aims to deepen our understanding of how disinformation evolves and moves through online spaces. Ultimately, it seeks to design transparent, scalable ways to detect and counter harmful narratives, helping build more resilient information ecosystems.
How to apply
If you are interested in applying for the above PhD topic please follow the steps below:
- Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
- Click on the "Apply here" button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
- Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.
Good luck!
This is a self-funded topic
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.