Quanqi Du

Quanqi Du received his PhD from Ghent University in 2026 with the dissertation “When Modalities Disagree: A Perspective-Aware Framework for Multimodal Emotion Recognition,” supported by the Flanders AI Research Program. His doctoral research focused on developing computational methods for understanding human emotions from multimodal signals, including language, speech, and visual information. He established an end-to-end research pipeline covering multimodal dataset construction, annotation, annotation quality assessment, multimodal sentiment analysis, and emotion recognition, with particular emphasis on developing effective, interpretable, and perspective-aware fusion strategies for emotion understanding in videos.

In 2026, he was a visiting researcher at the Affective Intelligence and Robotics Lab at the University of Cambridge, where he expanded his research toward human–robot interaction and multimodal intelligent systems. Following his PhD, he continued his research as a postdoctoral researcher at Ghent University.

His research interests lie at the intersection of natural language processing, affective computing, and multimodal artificial intelligence. His work aims to enable intelligent systems to better understand, interpret, and interact with humans by modelling the complex interplay between language, emotion, and multimodal experiences in human and machine communication. His broader interests include multimodal sentiment analysis, emotion recognition, conversational AI, and human-centred AI.