Research

IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.

Selected Publications

Online Bipartite Matching with Reusable Resources

Delong, Steven and Farhadi, Alireza and Niazadeh, Rad and Sivan, Balasubramanian and Udwani, Rajan, Online Bipartite Matching with Reusable Resources (October 23, 2022). Available at SSRN: https://ssrn.com/abstract=4256240 or http://dx.doi.org/10.2139/ssrn.4256240

Adwords with Unknown Budgets and Beyond

Udwani, Rajan. “Adwords with Unknown Budgets and Beyond.” (2021).

The Non-Markovian Nature of Nested Logit Choice

Li, Selena & Udwani, Rajan. (2022). The Non-Markovian Nature of Nested Logit Choice. SSRN Electronic Journal. 10.2139/ssrn.3420257.

Immediacy Provision and Matchmaking

An, Yu and Zheng, Zeyu, Immediacy Provision and Matchmaking (January 19, 2022). Available at SSRN: https://ssrn.com/abstract=2868280 or http://dx.doi.org/10.2139/ssrn.2868280

Dynamic Pricing with External Information and Inventory Constraint

Li, Xiaocheng & Zheng, Zeyu. (2019). Dynamic Pricing with External Information and Inventory Constraint. SSRN Electronic Journal. 10.2139/ssrn.3458662.

Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training

Zhu, Tingyu & Liu, Haoyu & Zheng, Zeyu. (2023). Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. ACM Transactions on Modeling and Computer Simulation. 10.1145/3583070.