Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition. - Esmaeil Keyvanshokooh; Sarah M. Ryan; Elnaz Kabir (Eur. J. Oper. Res., 2016)

Supply chain network design under uncertainty: A comprehensive review and future research directions. - Kannan Govindan 002; Mohammad Fattahi; Esmaeil Keyvanshokooh (Eur. J. Oper. Res., 2017)

A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands. - Mohammad Fattahi; Kannan Govindan 002; Esmaeil Keyvanshokooh (Comput. Oper. Res., 2018)

An optimization-based approach for the healthcare districting under uncertainty. - Sobhan Mostafayi Darmian; Mohammad Fattahi; Esmaeil Keyvanshokooh (Comput. Oper. Res., 2021)

Online Advance Scheduling with Overtime: A Primal-Dual Approach. - Esmaeil Keyvanshokooh; Cong Shi 001; Mark P. Van Oyen (Manuf. Serv. Oper. Manag., 2021)

Online Resource Allocation with Personalized Learning. - Mohammad Zhalechian; Esmaeil Keyvanshokooh; Cong Shi 001; Mark P. Van Oyen (Oper. Res., 2022)

Resource planning strategies for healthcare systems during a pandemic. - Mohammad Fattahi; Esmaeil Keyvanshokooh; Devika Kannan; Kannan Govindan 002 (Eur. J. Oper. Res., 2023)

Data-Driven Hospital Admission Control: A Learning Approach. - Mohammad Zhalechian; Esmaeil Keyvanshokooh; Cong Shi 001; Mark P. Van Oyen (Oper. Res., 2023)

Contextual Bandits with Budgeted Information Reveal. - Kyra Gan; Esmaeil Keyvanshokooh; Xueqing Liu; Susan A. Murphy (AISTATS, 2024)

Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration. - Xueqing Liu; Kyra Gan; Esmaeil Keyvanshokooh; Susan A. Murphy (CoRR, 2024)

HR-Bandit: Human-AI Collaborated Linear Recourse Bandit. - Junyu Cao; Ruijiang Gao; Esmaeil Keyvanshokooh (AISTATS, 2025)

Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine. - Prateek Jaiswal; Esmaeil Keyvanshokooh; Junyu Cao (CoRR, 2025)