Dr Marwa Mahmoud she/her

I lead the Behavioural AI Lab at the School of Computing Science, University of Glasgow. Our research focuses on developing artificial intelligence methods that can understand and interpret complex human and animal behaviours. We use multimodal data such as video, audio, and physiological signals to build multimodal machine learning models to study social interaction, mental health, and affective states.

Our work is highly interdisciplinary and involves collaborations with neuroscience, clinical psychiatry, psychology, animal behaviour science, and social science. There are many exciting opportunities for potential PhD projects in my group. Possible topics include (but are not limited to) developing AI systems for early detection of mental health conditions, analysing social behaviour in natural settings, and creating tools for human health monitoring and animal welfare. My supervisory style is collaborative and supportive, encouraging students to develop independence, creativity, and critical thinking.

I am committed to diversity and inclusion, and have led initiatives to promote the participation and representation of underrepresented groups in computing and AI. Throughout my career, I have organised outreach activities such as coding workshops for girls, BME open days, and AI masterclasses for school students, aiming to inspire the next generation of scientists from diverse backgrounds and underrepresented groups. My group is diverse and gender-balanced, and I work to ensure it is inclusive and welcoming.

Personally and academically, I am driven by curiosity and a passion for discovery. I look forward to inspiring students to tackle exciting challenges, developing responsible AI to address meaningful real-world problems.