All team members

Dr Youngjun Cho

Associate Professor, Computer Scientist

Youngjun is an Associate Professor in the department of computer science at University College London (UCL) and tutor of the Disability, Design and Innovation MSc. He explores, builds and evaluates novel techniques and technologies for the next generation of physiological and affective computing that help boost disability technology innovation. He has pioneered mobile thermal imaging-based physiological sensing and affect recognition (e.g. mental stress).

He obtained a PhD from Faculty of Brain Sciences at UCL. Before joining UCL Computer Science, he was a senior researcher at LG Electronics (2011-2018) and led a variety of industrial research projects, successfully commercializing his novel sensing and machine learning techniques (e.g. gesture-driven advanced touchscreen for vehicles).

He has authored more than 50 articles (including patents) in areas related to affective, physiological computing, machine learning, human-computer interaction and multimodal sensing and feedback. Some of the achievements have been featured in forums for the general public such as BBC News, Phys.Org, Imaging and Machine Vision Europe, and SBS News.


Current students & Alumni supervised by Dr. Youngjun Cho at University College London

Since 2019

Amit Patel (MSc, University College London)

Research area: Machine Learning, Physiological Computing
Research project: Deep reinforcement learning for remote PPG

James Wong-You (MSc, University College London)

Research area: Disability, Human Computer Interaction
Research project: Virtual reality experience of people with dyspraxia

Chang Liu (MSc, University College London)

Research area: Physiological Computing, Machine Learning
Research project: Automatic detection and intervention of stress, anxiety for mental disability management

Chenxi Xia (MSc, University College London)

Research area: Disability, Physiological Computing
Research project: Stress map for wheelchair users

2017 – 2018

Jade Savage (MSc, BSc, University College London)

Google DeepMind Scholarship Recipient

Research area: Machine Learning, Affective Computing
Master thesis (2018): Automatic Stress Recognition Using Plethysmographic Signals Obtained from Webcam Video Images

Ting-Yi Wang (MSc, University College London)

Research area: Deep Learning, Robotics
Master thesis (2018): Deep Fusion of RGB and Thermal Imagery for Material and Object Recognition

Weihan Ou (MSc, University College London)

Research area: Deep Learning, Affective Computing
Master thesis (2017): Stress recognition from Thermal Facial Images

Dr Youngjun Cho looking away from the camera with arms folded. Trees and buildings in the background.