Biography
Pu Wang received B.Eng degree in Electrical Engineering from Beijing Institute of Technology, China, in 2003, and M.Eng degree in Electrical and Computer Engineering from Memorial University of Newfoundland , Canada, in 2008. He received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA, in August 2013, under the guidance of Professor Ian F. Akyildiz.
Currently, he is an Associate Professor with the Department of Computer Science
at the University of North Carolina at Charlotte . Prior to joining UNCC, he was an assistant professor with Department of Electrical Engineering and Computer Science at Wichita State University from 2013 to 2017.
His current research interests focus on deep learning and reinforcement learning, with applications in smart sensing, networking, computer vision, Internet of Things, and Cyber-Physical Systems.
Selected Honors and Awards
Openings
I am currently looking for self-motivated graduate students willing to work in the area of deep learning for computer vision and smart sensing , reimforcement learning for networking , and computational biomechanics /b>.
Requirements: 1) Undergraduate or MS students with degrees in Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, Mathematics or related majors.(2) Strong programming and/or mathematical skills. Proficient in deep learning frameworks, e.g., PyTorch (3) Research experience in computer vision and machine learning are
preferred. If interested, please send your CV, and transcripts to me at pu.wang@uncc.edu