Dr Marwa Mahmoud is a Lecturer in Socially Intelligent Technologies in the School of Computing Science at University of Glasgow, and a Visiting Fellow in the Department of Computer Science and Technology at University of Cambridge, UK. She had her PhD in Computer Science from University of Cambridge, UK in 2015. Her research interests focus on computer vision for social signal processing and multimodal signal processing, especially within the context of affective computing, behaviour analytics, human behaviour understanding and animal behaviour understanding. She applied her research in the areas of automotive applications, mental healthcare, and animal welfare. 

Xinyu Li is currently a Ph.D. student in the school of computing science, University of Glasgow. Before joining UofG, he finished his MSc at the University of Birmingham and BEng at University College Dublin. His research interest includes explainable mental illness assessment and related topics. 

Currently, Bima is a Ph.D. Student in the School of Computing Science, University of Glasgow. He works as an academician and practician at Universitas Kristen Immanuel (Indonesia). He finished his Master's and Bachelor's Degree in Informatics Engineering at Universitas Atma Jaya Yogyakarta (Indonesia). He is interested in applications of computer vision and machine learning for crowd behavior analysis in the tourism sector.

Zejian Feng is a Ph.D. student in the Behavioural-AI Lab. He received his Master's degree in Data Science at the University of Glasgow in 2022. his doctoral research topic explores how to devise AI assistive tools for mental well-being applications. He is also interested in building models for pain estiamtion in sheep by measuring their facial expressions.

Monica Duta is a PhD student with the Centre for Doctoral Training in Socially Intelligent Artificial Agents at the University of Glasgow, where she works on a project supervised by Prof. Rachael Jack and Dr Marwa Mahmoud. Her research interests concern multimodal facial expression signal processing, specifically the perception of hand-over-face gestures (combination of face and hand gestures). She has previously worked in projects involving the use of prediction in emotion recognition and data-driven models of facial expressions of valued facial expressions in different cultures. Monica has previously graduated with a B.Sc. (Hons) in Psychology (First Class) from the University of Aberdeen. She has also completed her M.Sc. in Research Methods in Psychological Science (Distinction) from the University of Glasgow. 

Jingjing Guo is a PhD student in the Behavioural-AI Lab in the School of Computing Science, University of Glasgow. Previously, she received a Bachelor's degree at Lanzhou University and worked as an algorithm engineer at Beijing Normal University. Her research interest aligns with affective computing and analysing human mutual interaction, e.g. joint engagement between parent and children, using multimodal machine learning. For more information, feel free to check her personal website.

Jógvan Heindrikur Rógvason Djurhuus is a current Social AI PhD student at the University of Glasgow. His research aim is to build AI assistive tools to help predict mental health outcomes amongst care home residents.

Having grown up in the Faroe Islands, a small country with a tight-​knit community, Jógvan understands the importance of family, which in turn also played a role in determining his area of academic interest. Before joining the Social AI CDT, the Centre for Doctoral Training, funded by the UKRI to train the next generation of experts in artificial social intelligence, he completed his undergraduate studies in psychology at the University of Glasgow, where he acquired a specialism in clinical health before undertaking a professional course in counselling skills, having found the field fascinating.

As Jógvan is a naturally curious person interested in helping improve people’s lives, his area of research allows him to do just that by exploring the intersection between two dynamic fields, psychology and artificial intelligence. More specifically, his project allows him to utilize his psychology background and experience working with the elderly.

In his free time, Jógvan enjoys roller-​skating, boardgames, videogames, fantasy novels, and hill-​walking in the beautiful Scottish Highlands.

Hongyun Sheng is a Master's by Research student in the Behavioural-AI Lab, University of Glasgow. He's got his Bachelor's Degree in Computer Science from University of Shanghai for Science and Technology in 2022. His research focuses on the improvement and implementation of Vision-Based AI in the infrastructure of society, especially how human gait can be applied for human recognition.