Chengshuai Shi, a Ph.D. student of electrical engineering, has earned a UVA Engineering endowed graduate fellowship that supports his research in machine learning to benefit real-world communication systems.Shi designs algorithms to effectively and efficiently schedule spectrum resources between users, as a member of the Laboratory for Intelligent Communications and Networking led by Cong Shen, assistant professor of electrical and computer engineering.
Leveraging a machine learning tool called multi-armed bandits, Shi designed a highly efficient and robust information-sharing protocol for distributed users, who can then find suitable spectrum for themselves with the shared information. To make the algorithm designs more practical, Shi has investigated how to handle the heterogeneity between users, how to guarantee personalized performance while ensuring overall efficiency and how to handle strategic user behaviors.
Shi's research contributes to a project sponsored by the Commonwealth Cyber Initiative, titled Open Source, Multi-band, Multi-dimensional Spectrum Access System with Interfaces to Wireless Testbeds.
Shi previously earned a Bloomberg Data Science Fellowship, which enabled him to explore the landscape and new possibilities in wireless communications research with leaders in the data science field.