Biography
- BEng student in the Internet of Things Engineering at the University of Wuhan Technology, 2016-2020
- MSc student in Computer Science at the 神马福利影片, 2020-2021
- PhD student in Biomedical Engineering at the 神马福利影片, 2021-Current
In the final year of his BEng in Internet of Things Engineering, Wanzi had a scholarship for an exchange program between the UK and China. This allowed him to come to the UK and apply for an MSc student in the UK. During his MSc in Computer Science, he completed a project about Brain Connectivity in Depression, where he applied his computer science specialties to the medical domain. After that, he is currently a second-year PhD student at the 神马福利影片. In addition, he won the scholarship from the China Scholarship Council.
Research Project
Artificial Intelligence Toolbox for Tracking Eye Movement in Neurodegenerative Disorders via Smartphone
- Developed a framework for analysing ophthalmological dynamics from smartphone-acquired videos.
- Applied image processing and deep learning techniques aiming for detecting oculomotor abnormalities such as saccades and nystagmus.
- Investigated the feasibility of early detection of neurodegenerative diseases (e.g., Parkinson鈥檚 disease, Long COVID) using non-invasive, low-cost approaches.
- Explored integration of the algorithm with smartphone applications to enable remote monitoring and home-based rehabilitation.
Pupillary Light Reflex in Five Common Ophthalmological Diseases
- Conducted a comprehensive investigation of automated pupillometry across glaucoma, diabetic retinopathy, refractive error, macular degeneration, and cataracts.
- Identified significant pupillary light reflex (PLR) variables as potential disease biomarkers, including relative afferent pupillary defect (RAPD) for glaucoma and focal stimulation asymmetry for diabetic retinopathy.
- Developed a biomedical engineering framework specifying hardware and software requirements for next-generation automated pupillometers, emphasising focal and full-field stimulation, binocular recording, alternating wavelength delivery, and real-time analysis.
- Proposed the integration of pupillometry with fundus imaging to support multimodal diagnostic innovation.
Research interests
Publications
ORCID: 0000-0002-3426-8270
- "Validation of an Eye-Tracking Algorithm Based on Smartphone Videos: A Pilot Study" Diagnostics15, no. 12: 1446, Jun 2025. Su, Wanzi, Damon Hoad, Leandro Pecchia, and Davide Piaggio.
- "On the Quest for Ophthalmological Biomarkers for Long COVID: A Scoping Review" Applied Sciences15, no. 11: 6126, May 2025. Su, Wanzi, Laura Statham, Carla Jammal, Leandro Pecchia, Damon Hoad, and Davide Piaggio.
- "A Systematic Literature Review of Eye-Tracking and Machine Learning Methods for Improving Productivity and Reading Abilities" Applied Sciences15, no. 6: 3308, Mar 2025. Arnold, Lewis, Soniya Aryal, Brandon Hong, Mahiethan Nitharsan, Anaya Shah, Waasiq Ahmed, Zakariya Lilani, Wanzi Su, and Davide Piaggio.
- 鈥�Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support鈥�. Scientific Reports 13, 14322, Aug 2023. Maccaro, Alessia, S. M. Pagliara, Marianna Zarro, Davide Piaggio, Faridat Abdulsalami, Su, Muhammad Salman Haleem, and Leandro Pecchia. https://doi.org/10.1038/s41598-023-39834-8
- 鈥� Use of Smartphones for Frugal Innovation鈥�, Biomedical Engineering for Sustainable Development, Jun 2022. Davide Piaggio, Owain Cisuelo, Wanzi Su, Martina Andellini, and Leandro Pecchia.
- 鈥�Application of automated pupillometry in early detection of the most common eye diseases: a bioengineering and digital medicine specification based on systematic review鈥�, currently under review of IEEE Journal of Biomedical and Health Informatics. Wanzi Su, Katia Polsi, Jacopo Vitale, Emmanuel Nathaniel, Daniel Fox, Alvin Vyapooree, Giovanni Di Pino, Leandro Pecchia, Damon Hoad, Davide Piaggio
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