Prof. Youngjun Cho

Youngjun is Professor in the department of computer science at University College London (UCL) and Director of the Disability, Design and Innovation MSc programme. 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 completed a PhD from Faculty of Brain Sciences at UCL. Before joining UCL Computer Science, he worked as a senior researcher and specialist at a multinational corporation (2011-2018) and led a range of research-driven innovations, successfully commercializing his novel sensing and machine learning techniques (e.g., advanced touchscreen for vehicles, such as Porsche Panamera 2017).

He has authored more than 100 articles (including patents) in areas related to affective, physiological computing, machine learning, human-computer interaction, assistive technology 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.

Website

Youngjun's Live Projects as GDI's Lead

• AI Mapper 2024-2025 (Funder: UKRI)

• Consumer Experience (CX) Digital Tools for Dematerialisation for the Circular Economy 2021-2024 (Funder: EPSRC)

• Bentley Comfort AI 2020-2022 (Funder:Bentley Motors)

• Textiles Circularity Centre: Circular Bioeconomy for Textile Materials 2021-2024 (Funder: EPSRC)

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

Prof. Youngjun Cho supervises:

• Mark Quinlan (Research Fellow; holds a PhD from the University of Oxford)

• Farshid Rayhan (Research Fellow; holds a PhD from the University of Manchester)

• Meg Obata (Part-time Research Associate & Visiting Researcher, Primary supervision)

• Jing Xue (Part-time Research Associate, Primary supervision)

• Jitesh Joshi (PhD student, Primary supervision)

• Zak Morgan (PhD student, Primary supervision)

• Katherine Wang (PhD student, Primary supervision)

• Merlin Kelly (PhD student, Primary supervision)

• Zikun Quan (PhD student, Primary supervision)

• Ziyue Zhu (PhD student, Secondary supervision)

• Yifu Liu (PhD student, Secondary supervision)

• Shu Zhong (PhD student, Secondary supervision)

• Simon Wei (PhD student, Secondary supervision)

• Alexander Thomas (PhD student, Secondary supervision)

As of 2021, Youngjun's Physiological Computing and Artificial Intelligence research Alumni – primary supervision only:

• Jade Savage (Physiological Computing, 2017/18 MSc in CSML) – DeepMind Scholarship | Microfocus

• Delaney Warren (Physiological Computing & AT, 2019/20 MSc in DDI) – UCLFAA Scholarship

• Meg Obata (Physiological Computing & AT, 2019/20 MSc in DDI) – UCLFAA Scholarship

• Amit Patel (Machine Learning, 2018/19 MSc in ML)

• Chang Liu (Physiological Computing, 2018/19 MSc in DS) – Currently PhD Student

• Alok Suresh (Machine Learning, 2019/20 MSc in CSML) – Lanterne

• Zak Morgan (Machine Learning, 2019/20 MEng in CS) – Currently PhD Student

• Katherine Wang (Virtual Reality & AT, 2019/20 MSc in DDI) – Currently PhD Student

• James Wong-You (Human-Computer Interaction, 2018/19 MSc in HCI) – NHS

• Brian Min (Machine Learning, 2019/20 MEng in CS) – American Express

• Seunghoi Kim (Machine Learning, 2019/20 MEng in CS)

• Mahdi Nasrollahi (Machine Learning, 2019/20 MEng in CS)

• Su Yeon Oh (Haptics & AT, 2019/20 MSc in DDI)

• Yuliang Chen (Physiological Computing & AT, 2019/20 MSc in DDI)

• Bei Xiang (Haptics and Visual Impairment, 2019/20 MSc in DDI)

• Yu-Wei Yang (Physiological Computing and AT, 2020/21 MSc in DDI) – NHS

• Clara Moge (Physiological Computing, 2020/21 MSc in HCI, BSc from UCL) – Serco

• Yun Jung Yeh (Physiological Computing & AT, 2020/21 MSc in DDI) – JP Morgan

• William Davies (Physiological Computing, 2020/21 MSc in Machine Learning) – Amazon

• Steven McDonald (Physiological Computing, 2020/21 MSc in Machine Learning) – Precise TV

• Yuxuan Liu (Physiological Computing & AT, 2020/21 MSc in DDI) – Huawei

• Pauline Hohl (Physiological Computing & AT, 2020/21 MSc in DDI) – CareLineLive

• Tianyun Hu (Physiological Computing, 2020/21 MSc in HCI) – Huawei