Dr Khuong An Nguyen

Welcome to my university page !

• I hold a Ph.D, an M.Phil (Cantab), and a B.Sc (Hons) at Royal Holloway University and University of Cambridge.

• I am a Senior Fellow of the Advance HE, a Fellow of the Royal Institute of Navigation and the Royal Statistical Society, and member of the EPSRC peer review college.

• I was awarded "The Most Outstanding Vietnamese Student in the UK" title by Vietnam Embassy in 2014, "The Golden Globe Computer Science Award" (at age 15) by Prime Minister Phan Van Khai. I have acquired over £710,000 research grants as Principal Investigator (>£1.1M as Co-Investigator); received 2 Best Paper Awards, 1 Best Poster Award, 4 nominations for Best Papers, and 3 US Patents.

Recent news:

• May💡: Patent "Real-time drift detection in time-series data for automated AI model re-training" was granted U.S. Patent (No. pending).
• April🏛️: Awarded UKRI DAFNI Fellowship grant, funded by Science and Technology Facilities Council (STFC).
• March : Sean Feng (Research Assistant) presented his research in UK Parliament as a STEM for Britain 2026 finalist.
• February 📖: Editor of "The Importance of Being Learnable" book (Springer).
• December (2025)💡: Patent "Reliable outputs from Large Language Models for multi-label classification tasks" was granted U.S. Patent No. 12,499,134.
• October (2025) 📖: Chief Guest Editor of the Royal Society's Philosophical Transactions Journal.
• September (2025) 🌐: General Chair of the 14th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2025).
• July (2025)💡: Patent "Calibrated large language models for multi-label classifications" was granted U.S. Patent No. 12,367,223.
• June (2025)🎓: Ajibola Obayemi passed his PhD viva with No Corrections.
• May (2025)💰: Obtained a (£92,000) 3-year PhD industry studentship on "Machine Learning for Smart Transport".
• February (2025): Facilitated a memorandum of understanding signing between Crossrail International and Royal Holloway.
• October (2024): Hosted visiting PhD student Milo Ivancevic from University of Belgrade, funded by the British Scholarship Trust.
• September (2024)📖: Joined Editorial Board for Journal of Location Based Services (Taylor & Francis).
• July (2024)💰: Awarded a (£49,553) grant for the project "Reliable Railway Data Summaries forenhanced Decision Support and Productivity", (Co-I with University of Southampton), funded by Innovate UK.
• February (2024)💰: Awarded a (£49,070) grant for the project "Improving The Recycling Rate of Used Printer Cartridges Through Automatic Sortation", funded by Innovate UK.
• April (2024)📖: Guest Editor of the Pattern Recognition Journal (Elsevier).
• December (2023): Top 30 scientists for the Royal Society's "Week in Westminster 2024" event.
• October (2023) 💰: Awarded a (£297,326) grant for the project "DataSim: A Machine Learning-powered simulation tool for rail timetable optimisation", funded by Innovate UK.
• June (2023)📖: Guest Editor of the Machine Learning journal (Springer).
• April (2023) 💰: Awarded (£29,029) Transport Research and Innovation Grant for the project "Machine vision for live congestion estimation on train carriages", funded by Department for Transport.
• February (2023): Completed a 3-year KTP project (£170,639) with Parafix Ltd. to develop a predictive maintenance Machine Learning model to estimate the die-cuts tool life.
• December (2022) 👑: Discussing my research with the Princess Royal at St James's Palace (London) [photo 1] [photo 2].
• October (2022) 💰: Awarded (£25,522) AKT Research Grant for the project "Machine vision segmentation for automated UK train tracking and railway maintenance", funded by Innovate UK.
• July (2022): Completed a 6-month joint-project with the NHS (England), AMDR (America), and Innovative Health (America), to build green carbon footprint models of hospital equipment.

"If you must choose one single idea to work on for the rest of your life, what will that be ?"

In 2003, my grandma passed away with severe dementia. At the time, there was no existing technology to help communicating her daily needs, or her whereabouts for the carer to attend to swiftly. It was a struggle for my family to provide her the end-of-life care that she deserved.

For the past decade, my research interests are related to Machine Learning theory and its applications in Mobile Computing and Smart Healthcare. I have published extensively in the sub-fields of contact tracing, indoor positioning, and reliable AI, with 2 Best Paper Awards, 1 Best Poster Award, 4 nominations for Best Paper, and 3 Patents.

I have had the pleasure to supervise the following 9 Ph.D students.

- Yinqi Zhang (2026 - present): researching Smart Earables for Navigation.
co-supervised with Prof. Zhiyuan Luo.

- Alice Ashby (2025 - present): researching Reliable Large Language Models. "Chris Boyne" Best Undergraduate Thesis Award 2022.

- Charles Gadd (2025 - present): researching Machine Learning for Smart Transport.

- Javier Carreño (2023 - present): researching Anomaly Detection for Digital Advertising.

- Robert Choudhury (2020 - present): researching Machine Learning for Mobile Security.
co-supervised with Prof. Zhiyuan Luo.

Completions

- Ajibola Obayemi (2022 - 2025): researched Multimodal Fine-grained Classification. Head of AI at BCMY Ltd.
Thesis: "Multimodal Learning for fine-grained product classification". (Passed with No Corrections).

- Xu (Sean) Feng (2021 - 2025): researched Machine Learning for Navigation. Owned a patent in sensor design. 85% GPA at Zhejiang University (China). STEM for Britain 2026 finalist.
Thesis: "Machine Learning approaches for WiFi Round Trip Time indoor positioning systems".

- Julia Meister (2021 - 2024): researched Machine Learning for Digital Health. Top 10 students in BSc Computer Science cohort at RHUL. Bronze Award Winner of STEM for Britain 2023.
Thesis: "Confident COVID-19 detection with Conformal Prediction".

- Nery Riquelme-Granada (2018 - 2021): researched Machine Learning for Data Summary. Best Research Paper award at the 9th DATA 2020 international conference.
co-supervised with Prof. Zhiyuan Luo.
Thesis: "Coreset-based protocols for Machine Learning classification".

I am keen on supporting enthusiastic students who would like to apply their ideologies to impact the real world. If you are interested in doing research on the above topics, feel free to get in touch.