John Q Gan
Scholar

John Q Gan

Google Scholar ID: reTQcL8AAAAJ
Essex University, School of Computer Science and Electronic Engineering
Artificial intelligencemachine learningroboticsbrain-computer interfacehuman-machine interaction
Citations & Impact
All-time
Citations
1,994
 
H-index
24
 
i10-index
51
 
Publications
20
 
Co-authors
10
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Served as an Associate Editor for journals such as Neurocomputing, IEEE Transactions on Systems, Man, and Cybernetics – Part B, and IEEE Transactions on Cybernetics. His research has been funded by EPSRC, EU FP7, Innovate UK / KTP, British Council / UKIERI, The Royal Society, among others.
Research Experience
  • Involved in research with the Brain-Computer Interfaces and Neural Engineering Research Group and the Robotics and Embedded Systems Research Group. Has served as an Associate Editor for multiple academic journals and is a Fellow of The Higher Education Academy, UK.
Education
  • PhD in Biomedical Engineering
Background
  • Research interests include machine learning, artificial intelligence, robotics, signal and image processing (computer vision), pattern recognition, brain-computer interfaces, human-machine interaction, health informatics, data and text mining (Big Data). Specialized in biomedical engineering.
Miscellany
  • Member of EPSRC Peer Review College and Data Science, Tools & Technology Advisory Committee, Wellcome Trust.