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Mohammad Soleymani is a research associate professor with the USC Institute for Creative Technologies. He received his PhD in computer science from the University of Geneva in 2011. From 2012 to 2014, he was a Marie Curie fellow at Imperial College London. Before joining ICT, he worked as a research scientist at the Swiss Center for Affective Sciences, University of Geneva. His main research line involves machine learning, emotion recognition, and behavior understanding. He is a recipient of the Swiss National Science Foundation Ambizione grant and the EU Marie Curie fellowship. He has served on multiple conference organization committees and held editorial roles, notably as an associate editor for the IEEE Transactions on Affective Computing from 2015 to 2021, and as general chair for ICMI 2024 and technical program chair for ACM ICMI in 2018 and ACII in 2017. He was the president of the Association for the Advancement of Affective Computing (AAAC) from 2019 to 2021. His research focuses on the automatic perception and generation of human behavior and emotions through multimodal machine learning, emphasizing applications in nonverbal behavior sensing and generation for social interactions. Together with his team, he works on emotion recognition, mental health assessment, multimodal sentiment analysis, and the development of the ICT OpenSense framework for tracking facial expressions and voice activity.
USC Institute for Creative Technologies • Los Angeles, CA
Focuses on research related to machine learning and emotion recognition.
Swiss Center for Affective Sciences, University of Geneva •
Conducted research in emotion recognition and behavior understanding.
GRE is NOT required for Master's applicants for 2025-2026.