John Qiang Gan

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John Qiang Gan
EducationPhD in biomedical engineering
Known forMachine learning, computer vision, robot control, pattern recognition, signal processing, brain–computer interfaces
AwardsAI in Health Award (2025)
Scientific career
FieldsComputer science
Biomedical engineering
InstitutionsUniversity of Essex

John Qiang Gan is a computer scientist at the University of Essex[1]. He holds a PhD degree in biomedical engineering and his research areas include machine learning, computer vision, robot control, pattern recognition, signal processing, and brain-computer interfaces. His research has been funded by EPSRC [2], EU FP7 [3], Innovate UK / KTP [4], The Royal Society [5], UKIERI / British Council, and industry. He has made significant contributions to his research areas [6][7][8] and his publications have been widely cited by many researchers around the world [9]. His recent research on AI models for skin cancer detection, contributed to a project funded by Innovate UK and Check4Cancer, won the AI in Health Award at the 2025 MedTech World's Global Conference [10]. He served as a member of the EPSRC Peer Review College [11], a member of the Data Science, Tools & Technology Advisory Group, Wellcome Trust [12], and an Associate Editor for IEEE Transactions on Cybernetics [13].

References

  1. ↑ https://www.essex.ac.uk/people/ganjo00207/john-gan
  2. ↑ "Engineering and Physical Sciences Research Council (EPSRC)". 2026-01-20. Retrieved 2026-01-27.
  3. ↑ "FP7". CORDIS | European Commission. Retrieved 2026-01-28.
  4. ↑ "Innovate UK". 2026-01-19. Retrieved 2026-01-27.
  5. ↑ "Welcome to the Royal Society | Royal Society". royalsociety.org. Retrieved 2026-01-27.
  6. ↑ Ju, Zhaojie; Liu, Jinguo; Huang, YongAn; Kubota, Naoyuki; Gan, John Q. (2020). "Neural networks and learning systems for human machine interfacing". Neurocomputing. 390: 196–197. doi:10.1016/j.neucom.2019.10.058. ISSN 0925-2312.
  7. ↑ Wang, Huiyang; Han, Hongfang; Gan, John Q.; Wang, Haixian (2025). "Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces". IEEE Journal of Biomedical and Health Informatics. 29 (2): 909–922. doi:10.1109/JBHI.2024.3463737. ISSN 2168-2208.
  8. ↑ Shao, Xinghan; Chang, C.; Gan, John Q.; Wang, Haixian (2025). "An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification". IEEE Transactions on Information Forensics and Security. 20: 5069–5082. doi:10.1109/TIFS.2025.3570183. ISSN 1556-6021.
  9. ↑ "John Q Gan". scholar.google.co.uk. Retrieved 2026-01-27.
  10. ↑ "Your quick look at the big wins from the 2025 MedTech World Awards". MedTech World. Retrieved 2026-01-27.
  11. ↑ "Peer Review College – EPSRC". Retrieved 2026-01-27.
  12. ↑ "Data Sciences, Tools and Technology Discovery Advisory Group - Grant Funding". Wellcome. Retrieved 2026-01-27.
  13. ↑ "Transactions on Cybernetics". IEEE SMC. Retrieved 2026-01-27.

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