Dr Marwa Mahmoud
Lecturer at the University of Glasgow
About
Mahmoud is lecturer socially intelligent technologies at the University of Glasgow. She holds a PhD in computer science from the University of Cambridge.
Current research
Mahmoud leads the research group "behavioural AI - for human and non-human animals". Her research interests lie in 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 applies her research to automotive applications, mental healthcare, and animal welfare.
Future research vision
Mahmoud is interested in ‘AI for Social Good’, combining computer vision research with health for human well-being and animal welfare applications.
Key publications

Ceccarelli, F and Mahmoud, M. Multimodal Temporal Machine Learning for Bipolar Disorder and Depression Recognition. Pattern Analysis and Applications, 2022.

Lin, W et al. Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. IEEE Transactions on Affective Computing, 2021.

McLennan, K and Mahmoud, M. Development of an Automated Pain Facial Expression Detection System for Sheep (Ovis Aries). Animals, 2019.

Pessanha, F et al. Towards Automatic Monitoring of Disease Progression in Sheep: a Hierarchical Model for Sheep Facial Expressions Analysis from Video. 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020.

Mahmoud, M et al. Automatic Analysis of Naturalistic Hand-Over-Face Gestures. ACM Transactions on Intelligent Interactive Systems, 2016.

Key awards

Junior Research Fellowship, King's College, University of Cambridge.

Innovation Fellowship, Qualcomm.