Cheng Zhang

Cheng Zhang is an associate professor of information science. His research examines how to solicit information on and around the human body to address real-world challenges in various application areas, such as interaction, health sensing, and activity recognition. He usually builds novel sensing systems from the bottom to the top, including understanding the physical phenomenon, building hardware prototypes, designing form factors, processing data, and designing algorithms (machine learning or physics-based modeling).  

His work has resulted in more than a dozen publications in top-tier conferences and journals in the field of human-computer interaction and ubiquitous computing (including two best paper awards), as well as more than eight pending U.S. and international patents. His work also has attracted the attention of various media outlets, including ScienceDaily, DigitalTrends, ZDNet, New Scientist, RT, TechRadar, Phys.org, Yahoo News, Business Insider, and MSN News.

Zhang received his Ph.D. in computer science at Ubicomp Lab at Georgia Institute of Technology, where he worked with Gregory Abowd (CS) and Omer Inan (ECE). Before coming to Georgia Tech, he received his bachelor’s degree in software engineering from Nankai University and his master’s degree from the Institute of Software at the Chinese Academy of Sciences as an outstanding graduate, where he started doing HCI research.