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 the age of 15) by Prime Minister Phan Van Khai. I have acquired over £296,000 scholarship and research grants as Principal Investigator.

Visit my personal page for the latest projects.

Recent news:

• March 🏆: Julia won the Bronze Sustainability Award in the STEM for Britain 2023 competition in the "House of Parliament".
• December (2022) 👑: Discussing my research with the Princess Royal at St James's Palace (London) [photo 1] [photo 2].
• November (2022) 🏆: Julia won the "Best Poster Award" at the "Machine Learning for Healthcare" conference, organised by the "Institute of Physics".
• October (2022) 💰: Awarded (£35,000) AKT Research Grant, funded by Innovate UK (UKRI).
• September (2022) 💰: Deadline for a 3-year fully funded PhD studentship (~£50,000) in Artificial Intelligence for SMEs. [awarded to Ms. Sidra Junaid]
• 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.
• June (2022) 🏆: Julia won the "3 Minute Thesis" competition, and will progress to the UK national competition.
• May (2022) 🏆:
  • Nominated for the "Most inspirational lecturer of the year 2022" award (two years in a row).
  • Winner of the One Brighton "Outstanding PhD Research Supervisor" award.
• April (2022) 💰: Winner of the "Rising Stars" Research Initiative (£10,000).
• March (2022): Guest Editor of Annals of Mathematics and Artificial Intelligence (Springer).
• January (2022): 3 Research Officers to be recruited.
  • One on "Transfer Learning for cough-based COVID-19 detection": https://jobs.brighton.ac.uk/Vacancy.aspx?id=8344&forced=2
  • Two on "Machine Learning for Remanufacturing": https://jobs.brighton.ac.uk/Vacancy.aspx?id=8378&forced=2
• October (2021) 💰:
  
  • Awarded (£4,000) QR start-up investment fund from School of Architecture, Technology, and Engineering.
  • Awarded (£24,000) QR REF capacity building fund from School of Architecture, Technology, and Engineering.
• September (2021): Chairing the COPA 2021 conference.
• July (2021): Book chapter "Coreset-based data compression for Logistic Regression", published by Springer.
• May (2021) 🏆: Winner of the "Inspirational Teaching Award", from the Brighton Students' Union.
• April (2021) 💰: Khuong & Julia were one of the 7 winners of the Global Challenges Research Initiative, funded by Santander.
• September (2020): Joined Brighton as a Lecturer in Computer Science.

"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 has been around navigation and tracking, with an emphasis on contact tracing and healthcare monitoring. I have developed novel, practical systems combining the ubiquitous mobile sensors with machine learning.

Since 2017, I have published on average 3 papers, journals a year, most of them as the lead author. See here for a full list of my publications.

Reviewer for:

• IEEE Wireless Communications and Networking Conference (WCNC).
• IEEE Access Journal.
• IEEE Journal on Selected Areas in Communications (J-SAC).
• Pattern Recognition Journal, Elsevier.
• Journal of Information and Telecommunication, Taylor & Francis.
• ACM Journal on Interactive, Multimedia, Wearable and Ubiquitous Technologies (IMWUT).
• Symposium on Conformal and Probabilistic Prediction with Applications.
• Journal of Location Based Services, Taylor & Francis.
• Sensors Journal, MDPI.
• International Journal of Environmental Research and Public Health, MDPI.

My research interests are related to Machine Learning theory and its applications in Navigation, Positioning and Smart Healthcare. I have published extensively in the sub-fields of contact tracing, indoor positioning, and confidence predictions, winning 2 Best Paper Awards and 1 Best Poster Award.

I am keen on supporting enthusiastic students who would like to apply their ideologies to impact the real world.

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

Julia Meister (2021 - present): Top 10 students in BSc Computer Science cohort at Royal Holloway University; Best Student Research papers at the 12th WISTP and 11th COPA international conferences.

Xu Feng (2021 - present): owning a patent in sensor design; 85% GPA at Zhejiang University (China).

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

Robert Choudhury (2020 - present): Telecoms software engineer, Distinction in MSc in Information Security at RHUL, co-supervised with Prof. Zhiyuan Luo at Royal Holloway.

Nery Riquelme-Granada (2018 - 2021): Best Student Research paper at the 9th DATA 2020 International Conference on Data Science, co-supervised with Prof. Zhiyuan Luo at Royal Holloway.

If you are interested in doing research on the above topics, feel free to get in touch.