Dr. Zakia Hammal

Assistant Professor

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Biography

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.

Research Interests

Experience

Assistant Research Professor

2018-01-01 — Present

Robotics Institute, Carnegie Mellon University • Pittsburgh, PA

Conducting research in human behavior modeling and affective computing.

Awards

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AI Researcher of the Year

2023-01-01
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Outstanding Paper Award

2012-01-01
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Paper Award

2015-01-01
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Outstanding Reviewer Award

2015-01-01

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.