Marwa Mahmoud
I am a research fellow of King's college. I work at the Graphics and Interaction group and I am an affiliated lecturer at the Department of Computer Science and Technology. I teach the assessment module for the MPhil Computer Vision course.
My research focuses on vision-based artificial Intelligence and multimodal signal processing within the contexts of affective Computing, behaviour analytics and human (and animal) behaviour understanding. I am particularly interested in building inference models that tackle challenging real-world problems, which are usually characterised by data scarcity and noisy signals from multiple modalities.
Research topics
- Automatic detection of non-verbal signals of psychological distress
- Multimodal representaion learning (face/gesture/audio/text)
- Animals affect and automatic facial expressions analysis for animal welfare
- Ethical machine learning algorithms
Past Projects
- Enhancing driver experiences through vision Research
- Analysing pain in sheep
- Hand-over-face gestures
- Multimodal descriptors of rhythmic body movement
Media coverage
- BBC Countryfile, February 2018
- Data Skpetic podcast episode, 2017
- "Researchers design AI system to assess pain levels in sheep", Cambridge University Press, June 2017 (work later covered in: The Telegraph, CNN business and International media outlets)
- "Thoughtful gestures", Kings Parade magazine, Cambridge university, 2016
Contact details
Email: mmam3 (at) cam.ac.uk