Yige Hong

Postdoctoral Fellow, ISyE, Georgia Tech

Yige Hong

I'm the Beerman Postdoctoral Fellow in the School of Industrial and Systems Engineering (ISyE) at Georgia Tech, hosted by Debankur Mukherjee and Siva Theja Maguluri. I work on the performance analysis and optimal control of complex stochastic systems such as multiserver jobs, the G/G/k model, stochastic bin-packing, restless bandits, and weakly-coupled MDPs. A particular emphasis of my work is understanding these systems at a large scale, as motivated by the needs of data centers and other large service systems. I use stochastic analysis tools such as Lyapunov functions, coupling, and Stein's method to design scalable control policies with provable guarantees.

I received my Ph.D. from the Computer Science Department of Carnegie Mellon University, where I was very fortunate to be advised by Professor Weina Wang. In Fall 2027, I will join the School of Science and Engineering at CUHK-Shenzhen as a faculty member.

Prior to starting my Ph.D., I was an undergraduate student at the Chinese University of Hong Kong, Shenzhen (CUHKSZ), where I graduated from the mathematics major with a Bachelor of Science degree.

Email: yigeh [at] andrew [dot] cmu [dot] edu (expiring soon)
Email: hongyige98 [at] gmail [dot] com

In Fall 2027, I will join the School of Science and Engineering at CUHK-Shenzhen, where I am looking for motivated students to join my group. Feel free to contact me!

Selected publications

*co-first-author, #undergraduate student jointly mentored with my Ph.D. advisor.
RBs = restless bandits; MDPs = Markov decision processes; WCMDPs = weakly-coupled MDPs.   See the full list of publications.