Pu Wang

Pu Wang is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte), part of the College of Computing and Informatics (CCI). His research focuses on networked systems, generative AI, computer vision, and computational biomechanics. He holds a Ph.D. from Georgia Institute of Technology (2013) and previously served as an Assistant Professor at Wichita State University (2013–2016).

Education:

• B.E. in Electrical Engineering, Beijing Institute of Technology, 2003
• M.E. in Electrical and Computer Engineering, Memorial University of Newfoundland, 2008
• Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2013

Research interests include modeling of networked systems (e.g., Software Defined Networking, IoT), AI-driven human mesh recovery, and biomechanically accurate 3D pose estimation. His work is supported by NSF grants and has led to advancements in federated learning, motion synthesis, and underwater communication systems.

Awards and Honors:

• John A. See Innovation Award (Wichita State, 2016)
• BWN Lab Researcher of the Year (Georgia Tech, 2012)
• Best Student Paper Runner-Up (IEEE SCC 2016)
• Fellow of Memorial University’s School of Graduate Studies (2008)

Key publications span top venues like ICCV, CVPR, AAAI, and IEEE journals, addressing topics such as masked motion control, vision-language models, and federated learning optimization. He actively mentors graduate students in AI/ML, computer vision, and network systems.