Research

(Watch this space for an updated list of current projects and research topics)
(This page is under construction)

Selected Publications
Google Scholar page for the full list

• Li, X. and Mahmoud, M. (2024) Unlocking the Black Box: Concept-Based Modeling for Interpretable Affective Computing Applications. In: The 18th IEEE International Conference on Automatic Face and Gesture Recognition, Istanbul, Turkey, 27-31 May 2024, (Accepted for Publication)

• Tafur, B., Weiss, S. and Mahmoud, M. (2023) Towards Early Prediction of Neurodevelopmental Disorders: Computational Model for Face Touch and Self-adaptors in Infants. In: ICMI 2023 Workshop on Bridging Social Sciences and AI for Understanding Child Behavior, Paris, France, 9-13 October 2023, (Accepted for Publication)

• Feng, Z., Karaskova, M. and Mahmoud, M. (2023) Open-Sheep-Face: a Comprehensive Application for Sheep Face Analysis and Pain Estimation. In: ACII 2023, MIT Media Lab, Cambridge, MA, USA, 10-13 September 2023, (Accepted for Publication)

• Broomé, S., Feighelstein, M., Zamansky, A., Carreira Lencioni, G., Haubro Andersen, P., Pessanha, F., Mahmoud, M. , Kjellström, H. and Salah, A. A. (2022) Going deeper than tracking: a survey of computer-vision based recognition of animal pain and emotions. International Journal of Computer Vision.
  
  

• Ceccarelli, F. and Mahmoud, M. (2022) Multimodal temporal machine learning for bipolar disorder and depression recognition. Pattern Analysis and Applications, 25(3), pp. 493-504.
  
  

• Lin, W., Orton, I., Li, Q., Pavarini, G. and Mahmoud, M. (2021) Looking at the body: automatic analysis of body gestures and self-adaptors in psychological distress. IEEE Transactions on Affective Computing.
  
  

• Lin, W., Orton, I., Liu, M. and Mahmoud, M. (2020) Automatic Detection of Self-Adaptors for Psychological Distress. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 371-378.
  
  

• Pessanha, F., McLennan, K. and Mahmoud, M. (2020) Towards Automatic Monitoring of Disease Progression in Sheep: a Hierarchical Model for Sheep Facial Expressions Analysis from Video. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 387-393.
  
  

• Zhang, Z., Lin, W., Liu, M. and Mahmoud, M. (2020) Multimodal Deep Learning Framework for Mental Disorder Recognition. In: 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 16-20 Nov 2020, pp. 344-350.
  
  

• Hewitt, C. and Mahmoud, M. (2019) Pose-Informed Face Alignment for Extreme Head Pose Variations in Animals. In: 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, UK, 3-6 Sept 2019, pp. 22-27. 
  
  

• McLennan, K. and Mahmoud, M. (2019) Development of an automated pain facial expression detection system for sheep (Ovis Aries). Animals, 9(4), 196.
  
  

• Mahmoud, M. , Baltrušaitis, T. and Robinson, P. (2016) Automatic analysis of naturalistic hand-over-face gestures. ACM Transactions on Intelligent Interactive Systems, 6(2), 19.