Researcher

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

  1. 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.

  2. 2012

    A Georgia Tech research award

    At Georgia Tech, he receives the BWN Lab Researcher of the Year Award in 2012.

  3. 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.

  4. 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.

  5. 2016

    John A. See Innovation Award

    In 2016, he receives the John A. See Innovation Award from Wichita State University.

  6. 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.

  7. 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.

  8. 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

  1. Since 2024University of North Carolina at CharlotteCo-director
  2. From 2013Wichita State UniversityAssistant Professor

Education

  1. 2013Georgia Institute of TechnologyPhD
  2. 2008Memorial University of NewfoundlandM.E.
  3. 2003Beijing Institute of TechnologyB.E.

Sources and credits

Photo: We have no published photo of Pu Wang yet. Send us a free-licensed photo.

  1. Pu Wang - College of Computing and Informatics cci.charlotte.edu. Checked 21 October 2026.
  2. [2406.09390] LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living arxiv.org. Checked 21 October 2026.
  3. LLAVIDAL adl-x.github.io. Checked 21 October 2026.
  4. MaskControl: Spatio-Temporal Control for Masked Motion Synthesis openaccess.thecvf.com. Checked 21 October 2026.
  5. Advancing Frontiers: Exploring New Horizons in Biomedical Sciences science.charlotte.edu. Checked 21 October 2026.
  6. Research Areas - College of Computing and Informatics cci.charlotte.edu. Checked 21 October 2026.
  7. Team - Division of Research research.charlotte.edu. Checked 21 October 2026.