Zakia Hammal is an Assistant Research Professor with the Robotics Institute in the School of Computer Science at Carnegie Mellon University. Dr. Hammal’s areas of expertise are multimodal human behavior modeling in social interaction, health informatics, and affective computing. Much of her recent work has addressed computational models for multimodal assessment of treatment outcomes in psychiatric disorder (e.g., depression severity), and assistive computer vision and machine learning for automatic pain intensity measurement, automatic assessment of expressiveness in children with facial abnormalities, automatic assessment of non-verbal communication in mother-infant interaction, and automatic assessment of behavioral markers (e.g., head movement dynamics) in autism spectrum disorder. Most of her research has been supported by grants from the U.S. National Institutes of Health.
