hssaine at usc dot edu
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Chamsi Hssaine
I am an assistant professor in the Department of Data Sciences and Operations at the University of Southern California's Marshall School of Business.
My research interests lie broadly in data-driven decision-making, with applications to pricing and inventory management. Most recently, my research has focused on the impact of fairness considerations in decision-making. Another theme of my work explores new models and algorithms for modern e-commerce platforms.
Previously, I was a postdoctoral scientist in the Supply Chain Optimization Technologies group at Amazon, working under the supervision of Garrett van Ryzin. I obtained my Ph.D. in Operations Research at Cornell University. Prior to that, I graduated magna cum laude from Princeton University, with a B.S.E. in Operations Research and Financial Engineering, and a minor in Applied Mathematics.
Working Papers
Working Papers
Sequential Fair Allocation with Replenishments: A Little Envy Goes An Exponentially Long Way
Siddhartha Banerjee, Chamsi Hssaine, Chido Onyeze, Sean Sinclair.
Learning Fair and Effective Points-Based Rewards Programs
Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke. Submitted.
Preliminary version: EC'25.
On the Power of Delayed Flexibility: Balls, Bins, and a Few Opaque Promotions
Daniel Freund, Chamsi Hssaine, Jiayu (Kamessi) Zhao. Submitted.
Target-Following Online Resource Allocation Using Proxy Assignments
Chamsi Hssaine, Huseyin Topaloglu, Garrett van Ryzin. Submitted.
Accepted for spotlight presentation at Durham Early Career Scholars Workshop.
The Data-Driven Censored Newsvendor Problem
Chamsi Hssaine, Sean Sinclair.
Major Revision in Management Science.
Accepted for spotlight presentation at Durham Early Career Scholars Workshop.
Online Fair Allocation of Perishable Resources
Siddhartha Banerjee, Chamsi Hssaine, Sean Sinclair.
Major Revision in Operations Research.
Preliminary version: SIGMETRICS'23.
Runner-up for the 2024 INFORMS Service Science Best DEIJ Paper Award.
Price Competition Under a Consider-then-Choose Model with Lexicographic Choice
Siddhartha Banerjee, Chamsi Hssaine, Vijay Kamble.
Major Revision in Manufacturing & Service Operations Management.
Journal Publications
Journal Publications
Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations
Siddhartha Banerjee, Chamsi Hssaine, Qi Luo, Samitha Samaranayake.
Transportation Science, 2024.
Fair Incentives for Repeated Engagement
Daniel Freund, Chamsi Hssaine.
Production and Operations Management, 2024.
Preliminary version: WINE'23.
Real-Time Approximate Routing for Smart Transit Systems
Siddhartha Banerjee, Chamsi Hssaine, Noémie Périvier, Samitha Samaranayake.
ACM POMACS, 2021.
Preliminary version: SIGMETRICS'21.
Finalist for the 2021 INFORMS Minority Issues Forum Paper Competition.
Conference Publications
Conference Publications
Information Signal Design for Incentivizing Team Formation
Siddhartha Banerjee, Chamsi Hssaine. Extended abstract in WINE'18.
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