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of affective computing. The project aims to develop reproducible machine learning approaches for automatic emotion recognition in music, with stronger theoretical grounding, transparent model
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of affective computing. The project aims to develop reproducible machine learning approaches for automatic emotion recognition in music, with stronger theoretical grounding, transparent model
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comparative study of politics, public opinion and computational social science. The project The ERC-funded project EMERGEPOL — “Emerging Issues and the Dynamics of Affective Polarization” — investigates how
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diagnosis. The student will work with deep learning, affective computing, multimodal signal processing, graph neural networks, hypernetworks, temporal modelling and responsible AI. Expected outputs
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, affective computing, and real-time rendering — deployed at high-profile international events such as the World Economic Forum, GITEX Global, and Berlin Science Week. You can learn more about our research
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have
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algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful
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behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. We are seeking creative and upbeat Research Associate II
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behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. We are seeking creative and upbeat Research Associate
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behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. We are seeking creative and upbeat Research Assistant that