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Dr Youngjun Cho
Global Disability Innovation Hub
UCL at Here East
  • Lecturer
  • Dept of Computer Science
  • Faculty of Engineering Science
UCL Principal Supervisor,UCL Subsidiary Supervisor

Youngjun Cho is a lecturer in the department of computer science at UCL and a key academic member in GDI and UCLIC. Also, he is a co-founder and principal AI architect of KIT-AR (UCL/Sintef Spinout company). He explores, builds and evaluates novel techniques and technologies for the next generation of artificial intelligence-powered physiological computing1 that boosts disability technology innovation.

He has pioneered mobile thermal imaging-based physiological sensing and automated detection of affective states (e.g. mental stress). He obtained a PhD in computational physiology and thermography from Faculty of Brain Sciences at UCL. In 2011-2018, he worked as a senior research scientist at LG Electronics and led a variety of industrial research projects, successfully commercialising his novel sensing and machine learning technologies (e.g. gesture-driven advanced touchscreen for vehicles). He has authored more than 60 articles (including patents) in areas related to affective, physiological computing, human-computer interaction and multimodal sensing and feedback. At UCL, his research has been funded by Bentley Motors, EC H2020, NTT, EPSRC and DfID. Some of the achievements have been featured in forums for the general public such as BBC News, Phys.Org and Imaging and Machine Vision Europe.

1His definition of physiological computing is technology that helps us listen to our bodily functions and psychological needs and adapts its functionality. Its three technical components are physiological sensing, psychological state recognition and bio-feedback.

Research Groups
Research Themes
Research Summary

Physiological Computing and Artificial Intelligence

1. Remote physiological sensing and affect recognition (e.g. thermal imaging and remote-PPG; Photoplethysmography)

2. In-the-wild stress and emotion mapping for people with physical and mental impairments

3. Accessible User Interfaces & Accessibility Enhancement through physiological computing

4. AI-driven HCI empowering Disability Innovation

Teaching Summary

COMP0145 (Module Leader): Research Methods & Making Skills 
COMP0053 (Module Contributor): Affective Computing and Human Robot Interaction
COMP0159 (Module Leader): MSc Disability, Design and Innovation (DDI) - Dissertation

As of 2020, Dr. Youngjun Cho has been supervising 3 PhD students,  5 PDRA/RAs, and over 10 MSc/MEng students (on average per year).

19-NOV-2019 Lecturer Department of Computer Science UCL, United Kingdom
01-MAR-2013 – 31-OCT-2018 Senior Researcher CTO LG Electronics, Korea, Republic Of
07-FEB-2011 – 28-FEB-2013 Researcher CTO LG Electronics, Korea, Republic Of
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