John Oyekan
Scholar

John Oyekan

Google Scholar ID: W7ePGWYAAAAJ
Associate Professor, The University of York
Digital ManufacturingHuman-in-the-loopHuman-centred AIgorithmsFlexible AutomationIndustry 5
Citations & Impact
All-time
Citations
1,941
 
H-index
18
 
i10-index
33
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Seeking candidates for two PhD scholarships: one in Robotics for Flexible Manufacturing and another on Physics Informed Machine Learning for Precise Flow Process Control.
Research Experience
  • Collaborates with partners in Psychology, Computer Science, the Advanced Manufacturing Research Centre at Sheffield, and the Institute of High Performance Computing in Singapore.
Background
  • Research interests include developing new human cognition inspired algorithms to achieve flexible automation and AI across industrial manufacturing sectors; focusing on how machines can learn to complete tasks while dealing with environmental variations and transferring learned skills between tasks to solve problems.
Miscellany
  • Based in the Department of Computer Science at the University of York within a £15 million institute of safe autonomy.