Pu Wang
Pu Wang is a computer scientist whose AI research connects video understanding, human motion, and digital twins for health. He earned engineering degrees at Beijing Institute of Technology and Memorial University of Newfoundland, completed a Georgia Tech Ph.D. in 2013, and began his faculty career at Wichita State in 2013. Georgia Tech recognized him with its BWN Lab Researcher of the Year Award in 2012, and Wichita State gave him the John A. See Innovation Award in 2016. He coauthored LLAVIDAL for daily activities in 2024 and MaskControl for masked motion synthesis in 2025; he is an associate professor and principal investigator at UNC Charlotte's AI4Health Center.
- Works
- 362
Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2003–2008
Engineering degrees
He earns a B.E. in electrical engineering from Beijing Institute of Technology in 2003 and an M.E. in electrical and computer engineering from Memorial University of Newfoundland in 2008.
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2012
A Georgia Tech research award
At Georgia Tech, he receives the BWN Lab Researcher of the Year Award in 2012.
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August 2013
A Georgia Tech doctorate
Under Professor Ian F. Akyildiz's guidance, he completes a Ph.D. in electrical and computer engineering at Georgia Tech in August 2013.
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2013
Assistant professor at Wichita State
At Wichita State, he starts as an assistant professor in the Department of Electrical Engineering and Computer Science in 2013.
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2016
John A. See Innovation Award
In 2016, he receives the John A. See Innovation Award from Wichita State University.
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2024
LLAVIDAL for daily activities
In 2024, he coauthors LLAVIDAL, a large language vision model that integrates videos, 3D skeletons, and human-object interactions to model complex activities of daily living.
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2025
MaskControl for masked motion
He coauthors MaskControl: Spatio-Temporal Control for Masked Motion Synthesis, presented at the IEEE/CVF International Conference on Computer Vision (ICCV) in 2025.
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As of October 2026
AI4Health co-director and PI
In September 2024, he serves as co-director of UNC Charlotte's AI Center for Human Digital Twin and Computational Health. The center studies digital twins for human health and physiology, including elder care and stroke rehabilitation. As of October 2026, he is an associate professor and principal investigator in Computer Science at UNC Charlotte's Center for AI Digital Twins and Human Health (AI4Health).
Career
- Since 2024University of North Carolina at CharlotteCo-director
- From 2013Wichita State UniversityAssistant Professor
Education
Sources and credits
Photo: We have no published photo of Pu Wang yet. Send us a free-licensed photo.
- Pu Wang - College of Computing and Informatics
- [2406.09390] LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living
- LLAVIDAL
- MaskControl: Spatio-Temporal Control for Masked Motion Synthesis
- Advancing Frontiers: Exploring New Horizons in Biomedical Sciences
- Research Areas - College of Computing and Informatics
- Team - Division of Research
