Dr Marwa Mahmoud
- Lecturer in Socially Intelligent Technologies (School of Computing Science)
Marwa Mahmoud is a Lecturer (Assistant Professor) 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. Prior to joining University of Glasgow, she spent 10 years at University of Cambridge, where she obtained her PhD in 2015, held a postdoctoral researcher post from 2015-2016, then got awarded the prestigious King’s College Junior Research Fellowship (JRF) from 2016-2021. Her research interests focus on computer vision for social signal processing, multimodal perception and behavioural modelling, 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.
She pioneered research directions on affective gestures analysis (especially hand-over-face gestures and self-adaptors/ fidgeting behaviour) as well as vision-based AI for automatic detection of signs of pain in the facial expressions of sheep for early diagnosis of disease.
As the director of “Behavioural AI Lab – for human and animal behaviour modelling”, her current research vision is to build technologies for ‘AI for Social Good’, combining computer vision research and multimodal machine learning for human well-being and animal welfare applications.
She is the President-elect of the Association for the Advancement of Affective Computing (AAAC), Network Member of Cambridge Trust & Technology Initiative and a member of Cambridge Neuroscience. She has previously served as topic editor for "Multimodal Behavioural AI for Wellbeing" issue in Frontiers in Computer Science and the special issue “AI and Interaction Technologies for Social Sustainability” in the Journal of Sustainability.
- Computer vision for behaviour understanding
- Multimodal representation learning
- Social signal processing
- Digital Health
Professional activities & recognition
- 01/10/2016 - 30/09/2021: Junior Research Fellowship, King's college , Cambridge
- 01/10/2013 - 01/10/2014: Qualcomm Innovation fellowship
- 2020 - present: Frontiers in Computer Science, Topic editor "Multimodal Behavioural AI for Wellbeing"
- 2020 - present: Sustainability journal special issue on "AI and Interaction Technologies for Social Sustainability"
Professional & learned societies
- 2019 - present: Executive Committee, AAAC (Association for the Advancement of Affective Computing)