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 Fellow of the Centre for Machine Learning at Royal Holloway University, and an Associate Fellow of the Royal Institute of Navigation.

• 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 £480,000 research grants as Principal Investigator (£879,266 as Co-Investigator).

Recent news:

• February💰: Awarded a (£49,070) grant for the project "Improving The Recycling Rate of Used Printer Cartridges Through Automatic Sortation", funded by Innovate UK.
• 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.
• September (2023): Sean's paper "A dynamic model switching algorithm for WiFi fingerprinting indoor positioning" was Top #10 at IEEE IPIN 2023 conference; Sean also achieved 4th place in the EvAAL international smartphone positioning competition.
• 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 an automatic data capture mechanism for their 42 machines, and 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.
• August (2022): Chairing and hosting the COPA 2022 conference in Brighton.
• 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.
• March (2022): Guest Editor of Annals of Mathematics and Artificial Intelligence (Springer).

"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 navigation, and confidence predictions, winning 2 Best Paper Awards and 1 Best Poster Award.

I have had the pleasure to supervise the following 7 Ph.D students.

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

- Alice Ashby (2023 - present): researching Machine Learning for multi-object tracking. "Chris Boyne" Best Undergraduate Thesis Award 2022. Co-supervised with Prof. Cyril Crua at Sussex.

- Ajibola Obayemi (2022 - present): researching Multimodal learning. Software Engineering Manager at BCMY Ltd.

- Xu (Sean) Feng (2021 - present): researching Machine Learning for Navigation. Owning a patent in sensor design. 85% GPA at Zhejiang University (China).

- Robert Choudhury (2020 - present): researching Machine Learning for Mobile Security. Telecoms software engineer. Distinction in MSc in Information Security at RHUL. Co-supervised with Prof. Zhiyuan Luo.

- 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.

- 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.