I am an Assistant Professor in the Industrial and Operations Engineering Department at the University of Michigan, Ann Arbor. Before this, I completed my postdoc at INRIA Paris, mentored by Laurent Massoulie, and I obtained my Ph.D. from Georgia Tech, advised by Siva Theja Maguluri.
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My research is broadly in applied probability. I am currently working on dynamic pricing and dynamic matching for matching markets with applications to online marketplaces and electric vehicles. I am also working on analyzing convex-relaxation-based algorithms for graph alignment.
Among other interests, I highlight endurance sports. I ran a marathon in 2021 and aiming to complete a half ironman (1.2-mile swim, 56-mile biking, and 13.1 miles running) soon.
Email: sushilv@umich.edu
CV: here
I am looking to hire self-motivated Ph.D. students interested in applied probability and optimization theory. You can reach out to me at sushilv@umich.edu if you are interested in working with me. See below for my research interests
My Research Statement can be found here
Awards
Awards
GT Sigma Xi Best Ph.D. Thesis Award - Winner 2025
ACM SIGMETRICS Doctoral Dissertation Award - Winner 2024 [press release]
INFORMS TSL Dissertation Award Competition - Finalist 2025
INFORMS Transportation Science and Logistics (TSL) Best Student Paper Award - Finalist 2023
Stephen S. Lavenberg Best Student Paper Award at IFIP Performance 2021
Alice and John Jarvis Best Student Paper Award 2022, ISyE, Georgia Tech
ISyE Outstanding Graduate Teaching Assistant, Georgia Tech
Phillip J. and Delores A. Scott Graduate Student Health and Wellness Award 2021, ISyE, Georgia Tech
ACM SIGMETRICS 2021, 2023 and INFORMS APS Conference 2023 Travel Grant
Publications
Publications
Ph.D. Thesis
Ph.D. Thesis
Stochastic Matching Networks: Theory and Applications to Matching Markets [thesis]
Award: ACM SIGMETRICS Doctoral Dissertation Award - Winner 2024 [press release]
Award: GT Sigma Xi Best Ph.D. Thesis Award - Winner 2025
Award: INFORMS TSL Dissertation Award Competition - Finalist 2025
Papers under review
Papers under review
A Heavy Traffic Theory of Matching Queues, Sushil Mahavir Varma, Siva Theja Maguluri [ArXiv]
Near-Optimal Control in Ride-Hailing Platforms with Strategic Servers, Sushil Varma, Francisco Castro, Siva Theja Maguluri [ArXiv]
Transportation Polytope and its Applications in Parallel Server Systems, Sushil Varma, Siva Theja Maguluri [ArXiv]
Journal: Stochastic Systems (Major Revision) [Slides]
Online Stochastic Matching: A Polytope Perspective, Celine Comte, Fabien Mathieu, Sushil Varma, Ana Busic [ArXiv]
Journal: Stochastic Systems (Major Revision)
Graph Alignment via Birkhoff Relaxation, Sushil Varma, Irène Waldspurger, Laurent Massoulié [ArXiv]
Conference: NeurIPS 2025 (to appear)
A Simulation Framework for Ride-Hailing with Electric Vehicles, Chen Zhang, Sushil Varma [ArXiv]
Finite-Time Behavior of Erlang-C Model: Mixing Time, Mean Queue Length and Tail Bounds, Hoang Huy Nyugen, Sushil Varma, Siva Theja Maguluri [ArXiv]
Conference: ACM SIGMETRICS 2025 [Paper]
Journal: Operations Research (Under Review)
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets, Zixian Yang, Sushil Mahavir Varma, Lei Ying
Conference: NeurIPS 2025 (to appear)
Published Papers
Published Papers
Electric Vehicle Fleet and Charging Infrastructure Planning, Sushil Varma, Francisco Castro, Siva Theja Maguluri [ArXiv]
Power-of-d Choices Load Balancing in the Sub-Halfin Whitt Regime, Sushil Varma, Francisco Castro, Siva Theja Maguluri [ArXiv]
Dynamic Pricing and Matching for Two-Sided Queues, Sushil Varma, Pornpawee Bumpensanti, Siva Theja Maguluri, He Wang [ArXiv]
Throughput Optimal Routing in Blockchain-Based Payment Systems, Sushil Varma, Siva Theja Maguluri [ArXiv]
Journal: IEEE Transactions on Control of Network Systems [Paper]
Logarithmic Heavy Traffic Error Bounds in Generalized Switch and Load Balancing Systems, Daniela Hurtado Lange, Sushil Varma, Siva Theja Maguluri [ArXiv]
Journal: Journal of Applied Probability [Paper]
On Linear and Super-Linear Convergence of Natural Policy Gradient Algorithm, Sajad Khodadadian, Prakirt Jhunjhunwala, Sushil Varma, Siva Theja Maguluri [ArXiv]
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