Youngjun Cho
Scholar

Youngjun Cho

Google Scholar ID: 2h-v48AAAAAJ
University College London
Computational PhysiologyAffective ComputingArtificial IntelligenceAssistive and Accessible Technology
Citations & Impact
All-time
Citations
1,252
 
H-index
19
 
i10-index
29
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Research Experience
  • Prior to joining UCL, served as a Senior Research Scientist and Specialist at a multinational corporation, leading research-driven innovations
  • Successfully commercialized novel sensing and machine learning technologies, e.g., advanced touchscreen systems for vehicles
  • Key research outputs promoted to strategic partners including Google, BMW, Porsche, Bentley, Volkswagen, Jaguar, and Mercedes-Benz
  • Notable commercialized technology: 'Proximity Touch' for the 12.3-inch display in the Porsche Panamera
  • Currently supervises 10 PhD students, 4 Postdoctoral Research Fellows/Associates, and ~6 MSc/MEng students annually
Background
  • Full Professor of Computational Physiology, Department of Computer Science, University College London (UCL)
  • Affiliated with GDI-ARC (Global Disability Innovation Academic Research Centre), UCL Interaction Centre (UCLIC), and WHO Collaborating Centre for Research on Assistive Technology
  • Leader of the Computational Physiology, Intelligence and Interaction (CompPhys) research group at GDI
  • Co-founder of KIT-AR, a UCL/Sintef spinout company
  • Director of UCL’s MSc in Disability, Design and Innovation (DDI)
  • Research focuses on AI-powered physiological computing to advance disability technology innovation
  • Pioneered mobile thermal imaging-based physiological sensing and automated detection of affective states (e.g., mental stress)
Co-authors
0 total
Co-authors: 0 (list not available)