My Expertise
- Social signal processing
- Human behaviour understanding
- Human non-verbal analysis
- Human machine interaction
- Computational social science
- Machine learning
- Artificial social intelligence
- Artificial intelligence
Fields of Research (FoR)
Affective computing, Artificial intelligence, Human-computer interaction, Social and affective neuroscience, Cognitive and computational psychology, Collaborative and social computingSEO tags
Biography
Gelareh Mohammadi is an Associate Professor, the Head of the Human-Centered Computing Research Group, and the Associate Head of School (Engagement) at the School of Computer Science and Engineering, UNSW Sydney. Her research sits at the intersection of human-computer interaction, artificial intelligence, and computational psychology, with a particular focus on developing accessible, socially intelligent technologies that understand and adapt...view more
Gelareh Mohammadi is an Associate Professor, the Head of the Human-Centered Computing Research Group, and the Associate Head of School (Engagement) at the School of Computer Science and Engineering, UNSW Sydney. Her research sits at the intersection of human-computer interaction, artificial intelligence, and computational psychology, with a particular focus on developing accessible, socially intelligent technologies that understand and adapt to users' needs. Her work has practical applications in education, mental health and well-being, and productivity enhancement.
Gelareh earned her PhD in Social Signal Processing from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. She then worked as a Postdoctoral Researcher at the Idiap Research Institute in Switzerland, focusing on Affective Computing. Following this, she joined the Neuroscience Center at the University of Geneva, Switzerland, as a Postdoctoral Researcher, where she studied the neural basis of emotions before joining UNSW.
My Awards
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2022- Finalist for the Women in AI Award - Australia & New Zealand- in AI for Education category
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2019- Selected as Australia’s Research Field Leader (top researcher) in Human-Computer Interaction in the Australian Research Report
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2019- Best paper award in Affective Computing & Intelligent Interaction
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2015- Nomination for the Most Influential Articles in IEEE Transactions for Affective Computing Journal
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2013- Recipient of Google Anita Borg Memorial (Women Techmakers) Award
My Research Supervision
Areas of supervision
I welcome applications from motivated students interested to pursue a Ph.D. in automated human behavior analysis and its application in the following areas:
- Psychology
- Psychiatry
- Medicine
- Education
- Aging
- Human-machine interactions
Currently supervising
My Teaching
COMP9417: Machine Learning and Data Mining
COMP9517: Computer Vision
COMP3511/COMP9511: Human-Computer Interaction