Dr. Maguluri's research interests are broadly in Applied Probability and Optimization, and include fundamental problems in Queueing Theory, Stochastic Optimization, Distributed Optimization, Reinforcement Learning and Game Theory. He also uses these tools to work on applied problems including Scheduling, Resource Allocation and Revenue Optimization in a variety of systems including Data Centers, Cloud Computing, Wireless Networks, Block Chains, Ride hailing systems etc. He is a co-recipient of the “Best Publication in Applied Probability” award, presented by INFORMS Applied probability society every two years.
