Jing Yu



I am currently a postdoctoral research fellow at University of Michigan, working with Necmiye Ozay. In Spring 2025, I will join University of Illinois Urbana-Champaign as a Grainger College of Engineering Distinguished Postdoctoral Fellow hosted by R. Srikant. I obtained my Ph.D. in Control and Dynamical Systems at Caltech, co-advised by John Doyle and Adam Wierman, where I was awarded the Amazon AI4Science Fellowship and the Amori Doctoral Prize.


In fall 2025, I will join the electrical and computer engineering department at University of Washington as an assistant professor. 


I am recruiting Ph.D. students to start in Fall 2025! If you are interested in working together, feel free to reach out or directly apply here and mention my name in the application.



Research: The next generation of cyber-physical systems (CPS) is large-scale, safety-critical, and time-varying. My research agenda is to design practical control algorithms that enable CPS that are scalable and robust to uncertainties, with fast adaptation. My approach is to develop system-level frameworks that integrate learning and control in a way that resolves technical challenges arising from realistic scenarios, with a focus on online decision making and distributed algorithms for large-scale sustainable energy systems.



Email: jingyua (at) umich (dot) edu


Postdoctoral researcher 

University of Michigan EECS

CV  |  Google ScholarGithub


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