Catalogue of Possibilities / Supervisors

Prof Hui Yu he/him

Innovating at the interface of visual and cognitive computing, AI and machine learning

Professor of Visual and Cognitive Computing

School of Psychology and Neuroscience

Research interests:

Visual Analysis, 3D Vision, Image Understanding, Digital Twin Technology, Social Signal/Robotics

Research fields:

Visual Analysis, Digital Twin Applications, AI/DL for Multimodal Data Analysis, Social Robot-Assisted Applications

Mission Priority Areas

Why do you want to join the DiveIn community?

DiveIn’s research themes and missions on bridging research in AI and transformative technologies for sustainability and biomedical applications resonates deeply with my research interests and experience. The strong interdisciplinary research initiatives and areas are very exciting. I am keen to closely work with colleagues in these areas applying my research expertise in visual and cognitive analysis, AI and machine learning for multimodal analysis as well as 3D vision.

Personal profile:

I am driven by developing AI and human-centered technologies and their applications for sustainability and healthcare. I am determined to develop fundamental technologies co-created with interdisciplinary researchers/professionals to foster changes. I have been working with psychologists, clinicians and engineers developing various AI-enabled technologies.
I would like to encourage my students to do research following their interests with great passion and vision. I have supervised students in the areas of emotional analysis, data clustering, decision making for autonomous driving.

I dedicate to contribute to an environment that everyone can work with each other with passion, happiness and dignity. I am lucky to have supervised students (apart from teaching) with various ethnical and cultural background, which is one of my proudest accomplishments in my career. I am also lucky to be part of a team that does research investigating cultural elements and difference in social interaction, which I believe is very helpful in contributing to EDI in general.

https://www.gla.ac.uk/schools/psychologyneuroscience/staff/huiyu/

https://scholar.google.co.uk/citations?user=K9bBXkYAAAAJ&hl=en