Prakirt Raj Jhunjhunwala

Postdoctoral Scientist, Amazon FBA Science

I am a Postdoctoral Scientist at Amazon within the FBA Science team, where I develop optimization algorithms and scalable methodologies for large-scale supply chain, logistics, and inventory management. Previously, I was a Postdoctoral Research Scholar at Columbia Business School, where I collaborated with Jing Dong and Yash Kanoria.

I received my Ph.D. in Operations Research and a Master's in Mathematics from the Georgia Institute of Technology. My doctoral research was advised by Siva Theja Maguluri and received an Honorable Mention for the ACM SIGMETRICS 2023 Doctoral Dissertation Award. Prior to my time at Georgia Tech, I completed my B. Tech. in Electrical Engineering at the Indian Institute of Technology, Bombay, working under the guidance of Sharayu Moharir.

My research interests span operations research, marketplace design, and applied probability, with a particular specialization in design and performance analysis of complex queueing systems and service platforms. Outside of research, I enjoy hiking, playing badminton, and cooking.

Working Papers

Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
with Jing Dong and Yash Kanoria
NeurIPS MLxOR Workshop — [arXiv]
Optimal Congestion Signaling under Customer Heterogeneity and Demand Variation
with Jing Dong and Yash Kanoria
Under Revision — [pdf]
Exponential Tail Bounds on Queues: A Confluence of Non-Asymptotic Heavy Traffic and Large Deviations
with Daniela Hurtado-Lange and Siva Theja Maguluri
Accepted to IFIP Performance 2023 — [arXiv]
Heavy Traffic Joint Queue Length Distribution without Resource Pooling
with Siva Theja Maguluri
Accepted to IFIP Performance 2023 — [arXiv]

Papers & Publications

Thesis Design and Analysis of Stochastic Processing and Matching Networks
Honorable Mention for ACM SIGMETRICS 2023 Doctoral Dissertation Award — [Full Version]
Join-the-Shortest Queue with Abandonment: Critically Loaded and Heavily Overloaded Regimes
with Martin Zubeldia and Siva Theja Maguluri
Mathematics of Operations Research — [Journal] | [arXiv]
Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis
with Martin Zubeldia and Siva Theja Maguluri
Operations Research — [Journal] | [arXiv]
Low-Complexity Switch Scheduling Algorithms: Delay Optimality in Heavy Traffic
with Siva Theja Maguluri
IEEE/ACM Transactions on Networking, 2021 — [Journal] | [arXiv]
On the Linear and Super-Linear Convergence of Natural Policy Gradient Algorithm
with Sajad Khodadadian, Sushil Mahavir Varma, and Siva Theja Maguluri
IEEE Systems and Control Letters, 2022 — [arXiv]
(A shorter version was accepted to the 60th IEEE Conference on Decision and Control)
Optimal AoI-Aware Scheduling on Cycles and Graphs
with Bejjipuram Sombabu and Sharayu Moharir
IEEE Transactions on Communications, 2019 — [Journal]
Age-of-Information Aware Scheduling
with Sharayu Moharir
Best Paper Award — IEEE SPCOM (2018) — [Journal]
On a Class of Restless Multi-armed Bandits with Deterministic Policies
with Sharayu Moharir, D. Manjunath, and Aditya Gopalan
IEEE SPCOM (2018) — [Journal]