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Working at the crossroads of mathematics and engineering, this researcher writes about how complex moving systems can be controlled safely and efficiently. His work helps turn difficult theory into tools for real-world technologies such as cable-driven machines and offshore systems.

by Ji Wang
Born in Fujian, China, in 1990, he is an associate professor in the Department of Automation at Xiamen University. He earned degrees in mechanical engineering from Jimei University and Chongqing University, then spent 2019 to 2021 as a postdoctoral scholar in mechanical and aerospace engineering at the University of California, San Diego.
His research focuses on control theory, especially systems described by partial differential equations and other challenging dynamic models. He has written and co-written work on topics such as adaptive control, event-triggered control, and string-actuated motion, combining rigorous mathematics with practical engineering problems.
One of his best-known books is PDE Control of String-Actuated Motion, written with Miroslav Krstic and published by Princeton University Press in 2022. Across his publications, he explores ways to make complex mechanical systems more stable, responsive, and reliable.