Fouts Family Early Career Professor and
Associate Professor
Education
- Ph.D. Electrical and Computer Engineering (2014), University of Illinois at Urbana Champaign
- M.S. Applied Mathematics (2014), University of Illinois at Urbana Champaign
- M.S. Electrical and Computer Engineering (2011), University of Illinois at Urbana Champaign
- B. Tech. Electrical Engineering (2008), Indian Institute of Technology Madras
About
Dr. Siva Theja Maguluri is a Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Before joining Georgia Tech, Dr. Maguluri was a Research Staff Member in the Mathematical Sciences Department at IBM T. J. Watson Research Center. He obtained his Ph.D. and MS in ECE as well as MS in Applied Math from UIUC, and B.Tech in Electrical Engineering from IIT Madras. His research interests span the areas of Control, Optimization, Algorithms and Applied Probability. His research and teaching are recognized through several awards including the “Best Publication in Applied Probability” award, NSF CAREER award, VAIBHAV fellowship, second place award at INFORMS JFIG best paper competition, Student best paper award at IFIP Performance, “CTL/BP Junior Faculty Teaching Excellence Award,” and “Student Recognition of Excellence in Teaching: Class of 1934 CIOS Award.”
Dr. Maguluri serves as an Associate Editor for Operations Research, Mathematics of Operations Research, and Stochastic Systems. He was a general chair of the INFORMS Applied Probability Society Conference 2025, and will serve as a general chair of ACM SIGMETRICS 2027. Dr. Maguluri was part of the founding team of the SNAPP seminar series.
Research
Dr. Maguluri's research interests span the areas of Control, Optimization, Algorithms and Applied Probability. More specifically, he is interested in fundamental problems in Reinforcement Learning, Stochastic Optimization, Stochastic Networks, Queueing Theory, and Distributed Optimization. He uses the tools from these areas to work on problems such as scheduling and resource allocation and revenue optimization in a wide variety of systems including Data Centers, Cloud Computing, Wireless Networks, Block Chain as well as Ride hailing systems.
Teaching
Dr. Maguluri teaches courses broadly in applied probability, optimization and applications such as 'Stochastic Processes I', 'Stochastic Processes II', and 'Mathematics of Operations Research'. Over years, he has taught special topics courses on 'Performance Analysis of Data Centers for Cloud Computing', 'Reinforcement Learning: Theory and Algorithms', 'First Order Methods in Optimization for Machine Learning' and 'Modern Tools in Probability and Stochastic Processes'. Dr. Maguluri also runs a future faculty mentorship program in ISyE, designed to help ISyE PhD students navigate the academic job search process, and help them transition from being a student to a faculty member.
Awards and Honors
- ISyE Outstanding Student/Postdoc Mentoring Award
- NSF Career Award
- Student Recognition of Excellence in Teaching: Class of 1934 Award
- CTL/BP Junior Faculty Teaching Excellence Award
- Second place in the INFORMS Junior Faculty Interest Group (JFIG) Best paper competition
- Best Publication in Applied Probability award 2017
Representative Publications
- Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri, “Electric Vehicle Fleet and Charging Infrastructure Planning.” in Management Science. https://doi.org/10.1287/mnsc.2024.08524
- Prakirt Raj Jhunjhunwala, Martin Zubeldia, and Siva Theja Maguluri, “Join-the-Shortest Queue with Abandonment: Critically Loaded and Heavily Overloaded Regimes,” in Mathematics of Operations Research https://doi.org/10.1287/moor.2017.0887
- Martin Zubeldia, Prakirt Raj Jhunjhunwala and Siva Theja Maguluri, “Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis,” in Operations Research https://doi.org/10.1287/opre.2023.0032
- Zaiwei Chen, Siva Theja Maguluri, Martin Zubeldia, “Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise,” in Annals of Applied Probability, Vol. 35, No. 2, pp. 1298 - 1352, April 2025. https://doi.org/10.1214/24-AAP2143
- Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, and Karthikeyan Shanmugam, “A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation,” in Operations Research, Vol. 72, No. 4, pp 1352-1367, Aug 2024.
- Sushil Mahavir Varma, Pornpawee Bumpensanti, Siva Theja Maguluri, He Wang, “Dynamic Pricing and Matching for Two-Sided Queues,” in Operations Research, Vol. 71, No. 1, pp 83-100, Jan 2023.
- Daniela Hurtado Lange, Siva Theja Maguluri, “Heavy-traffic Analysis of Queueing Systems with no Complete Resource Pooling,” in Mathematics of Operations Research, Vol. 47, No. 4, pp 3129-3155, Nov 2022.
- Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying, “Heavy-Traffic Insensitive Bounds for Weighted Proportional Fair Bandwidth Sharing Policies,” Mathematics of Operations Research,Vol. 47, No. 4, pp 2691-2720, Nov 2022.
- Daniela Hurtado Lange, Siva Theja Maguluri, “Transform Methods for Heavy-Traffic Analysis,” Stochastic Systems, 10.4 (2020): 275-309.
- Siva Theja Maguluri and R Srikant, “Heavy traffic queue length behavior in a switch under the MaxWeight algorithm,” Stochastic Systems, Vol. 6, (2016), No.1, Pages 211-250.