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Zakia Hammal is an Assistant Research Professor at the Robotics Institute, part of the School of Computer Science at Carnegie Mellon University. Her expertise encompasses multimodal human behavior modeling, social interaction, health informatics, and affective computing. Dr. Hammal's recent research focuses on developing computational models for multimodal assessment and treatment outcomes for psychiatric disorders, such as depression. She has contributed to advances in assistive computer vision and machine learning, including automatic pain intensity measurement and assessments of expressiveness in children with facial abnormalities. Furthermore, she has explored non-verbal communication in mother-infant interactions and behavioral markers associated with autism spectrum disorder. Dr. Hammal is actively engaged in the academic community, serving as an Associate Editor for the IEEE Transactions on Affective Computing and as a member of the ACM ICMI Steering Board Committee. She has organized numerous successful workshops and has been involved in various roles at international conferences, including serving as Program Chair for upcoming events. She has received several honors for her work, including awards for outstanding papers and recognition as an AI Researcher of the Year at the Women in AI Awards North America 2023.
Robotics Institute, Carnegie Mellon University • Pittsburgh, PA
Conducting research in human behavior modeling and affective computing.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.