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
Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents
Zhang, J., & Mastrolia, T. (2025). Agency problem and mean field system of agents with moral hazard, synergistic effects and accidents. Journal of Optimization Theory and Applications.
Game-Theoretic Incentive Design for Sustainable Groundwater Management
Lee, Joo Seung, and Anil Aswani. “Game-Theoretic Incentive Design for Sustainable Groundwater Management.” IFAC-PapersOnLine, Jan. 1, 2025, https://www.sciencedirect.com/science/article/pii/S2405896325007360
GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats
Adebola, Simeon, Shuangyu Xie, Chung Min Kim, Justin Kerr, Bart M. van Marrewijk, Mieke van Vlaardingen, Tim van Daalen, E.N. van Loo, Jose Luis Susa Rincon, Eugen Solowjow, Rick van Zedde, and Ken Goldberg. “GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats.” Proceedings of the 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE), Aug. 17, 2025.
Polyhedral analysis of quadratic optimization problems with Stieltjes matrices and indicators
Liu, P., Atamtürk, A., Gómez, A., & Küçükyavuz, S. (2025). Polyhedral analysis of quadratic optimization problems with Stieltjes matrices and indicators. Mathematical Programming. https://doi.org/10.1007/s10107-025-02272-7
Optimal Policy for Inventory Management with Periodic and Controlled Resets
Lee, Y., Mintz, Y., Aswani, A., Shen, Z. M., & Yang, C. (2025). Optimal policy for inventory management with periodic and controlled resets. Manufacturing & Service Operations Management, 27(5), 1484–1496. https://doi.org/10.1287/msom.2022.0318
Matching-Based Off-Policy Evaluation for ReinforcementLearning Applied to Mechanical Ventilation
Lee, J. S., Mahendra, M., & Aswani, A. (2025). Matching-based off-policy evaluation for reinforcement learning applied to mechanical ventilation. CHASE ’25: Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, 211–221. https://doi.org/10.1145/3721201.3721370