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About

Dr. An-An Liu is a leading researcher in multimedia computing and human-centered artificial intelligence, whose work bridges the gap between machine perception and real-world interaction. Her primary research areas include emotion detection in conversational AI, 3D scene understanding and retrieval, and human action recognition for robotic systems. Dr. Liu’s most impactful contribution is the development of I-GCN (Incremental Graph Convolution Network), a pioneering framework for conversation emotion detection that has garnered 62 citations for its ability to model dynamic emotional states in dialogue—a critical advancement for social robots and intelligent voice assistants. She also introduced the novel concept of 2D image-based 3D scene retrieval, enabling intuitive search of 3D environments from simple 2D snapshots, a foundational step in cross-modal retrieval. Earlier in her career, Dr. Liu developed a Kinect-based 3D sensing and action recognition solution for urban search and rescue, demonstrating her commitment to deploying AI in high-stakes, real-world environments. With a career spanning foundational 3D sensing to cutting-edge emotion AI, Dr. Liu’s work continues to shape how machines understand both physical spaces and human affect.