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Heavy-Traffic Analysis of Queueing Systems: Drift Methods and Transform Techniques
Heavy-Traffic Analysis of Queueing Systems: Drift Methods and Transform Techniques
Bio: Siva Theja Maguluri is an Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech. Before that, he was a Research Staff Member in the Mathematical Sciences Department at IBM T. J. Watson Research Center. He obtained his Ph.D. from the University of Illinois at Urbana-Champaign in Electrical and Computer Engineering (ECE). Earlier, he received an MS in ECE and an MS in Applied Math from UIUC and a B.Tech in Electrical Engineering from IIT Madras. His research interests are broadly in Applied Probability, Optimization and Reinforcement Learning, and include 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.
Location and time: Room 110, 182 George Street at 10:00 a.m.
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