Research Associate Professor of Computer Science
Education
- Doctoral Degree, Computer Science, Université de Genève
- Bachelor's Degree, Electrical Engineering, University of Tehran
Biography
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. Prior to joining ICT, he was a research scientist at the Swiss Center for Affective Sciences, University of Geneva. His main line of research involves machine learning for 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 editorial roles, most notably as associate editor for the IEEE Transactions on Affective Computing (2015-2021), general chair for ICMI 2024 and ACII 2021 and technical program chair for ACM ICMI 2018 and ACII 2017. He was the president of the Association for the Advancement of Affective Computing (AAAC) (2019-2021).
Research Summary
I am generally interested in the automatic perception and generation of human behavior and emotions through multimodal machine learning. My research at ICT focuses on applications of nonverbal behavior sensing and generation in social interactions. Together with my team, we work on emotion recognition, mental health assessment, multimodal sentiment analysis, face and body motion generation and automatic behavior understanding, among others. I also direct the development of ICT OpenSense framework, a multimodal behavior sensing tool that can track facial expression, head gestures, voice activity and prosody features.
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