Authors indicated with * are graduate or undergraduate students. 

Working Papers

• Randall, N.*, Basciftci, B., & Zhang, Y. (2026). Data-Driven Optimization for Network Design of Multimodal Transit Systems under Travel Time and Demand Ambiguity. 

• Mao, X.*, Zhang, Y., & Huang, Y. Override Policy for Chemotherapy Scheduling Template under Uncertain Service Durations. [PDF]

• Liu, S.*, Zhang, Y., Basciftci, B., & Wang, W. Stochastic Bilevel Optimization for the Network Design of Multimodal Transit Systems with Heterogeneous Rider Preferences under Uncertain Travel Times and Demand. [PDF]

• Emami, BD.*, Khani, A., & Zhang, Y. Fleet Sizing and Scheduling of Battery Electric Buses with Limited Overnight Charging: A Spatial-Temporal-SOC Network Approach. [PDF]

• Goyal, A.*, Zhang, Y., & Benjaafar, S. Crowdsourcing Last-Mile Delivery with Hybrid Fleets Under Uncertainties of Demand and Driver Supply: Optimizing Profitability and Service Level. [PDF]

Journal Papers

• Zhang, Y., Li, Z.*, & Han, E. (2026+). Distributionally Robust Optimization with Integer Recourse: Convex Reformulations and Critical Recourse Decisions. To appear in  Operations Research Letters. [LINK][PDF]

• Liu, C.*, Zhang, Y., Wang, H., Wang, X.*, Qi, M. (2026+). Optimizing Sequential Competitive Facility Location and Attractiveness Design. To appear in IISE Transactions. [LINK]

• Emami, BD.*, Zhang, Y., Khani, A., & Song, Y. (2025). Towards an Efficient Electric Bus System: Multi-phase Optimization Model for Incremental Electrification of Bus Network with Uncertain Energy Consumption. Transportation Research Part C: Emerging Technologies, 173, 105011. [LINK] [PDF]

• Zhang, Y. (2025). Integer Programming Approaches for Distributionally Robust Chance Constraints with Adjustable Risks.  Computers & Operations Research, 177, 106974. [LINK][PDF]

• Yin, C.*, Zhang, Y., & Dong, J. (2024). Robust Bilevel Optimization Model for Distribution Network with Demand Response under Uncertain Renewables Using Wasserstein Metrics. IEEE Transactions on Sustainable Energy, 16(2), 1165-1176. [LINK][PDF]

• Goyal, A.*, Zhang, Y., & He, C.* (2023). Decision Rule Approaches for Pessimistic Bilevel Linear Programs under Moment Ambiguity with Facility Location Applications. INFORMS Journal on Computing, 35(6), 1342-1360 [LINK][PDF]

• Zhang, Y., Dong, J. (2022). Building Load Control using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants. INFORMS Journal on Computing, 34(3), 1531-1547. [LINK][PDF] [DATA]

• Zhang, Y., Lu, M., Shen, S. (2020). On the values of vehicle-to-grid selling in electric vehicle sharing. Manufacturing & Service Operations Management, 23 (2) 488-507.  [LINK][PDF]

• Zhang, Y., Jiang, R., & Shen, S. (2018). Ambiguous chance-constrained binary programs, under mean-covariance information. SIAM Journal on Optimization, 28(4), 2922-2944. [LINK] [PDF]

• Zhang, Y., Shen, S., & Erdogan, S. A. (2018). Solving 0-1 semidefinite programs for the distributionally robust allocation of surgery blocks. Optimization Letters, 12(7), 1503–1521. [LINK] [PDF]

• Jiang, R., Shen, S., & Zhang, Y. (2017). Integer programming approaches for appointment scheduling with random no-shows and service durations. Operations Research, 65(6), 1638-1656. [LINK] [PDF]

• Zhang, Y., Shen, S., & Erdogan, S. A. (2017). Distributionally robust appointment scheduling with moment-based ambiguity set. Operations Research Letters, 45(2), 139-144. [LINK] 

• Zhang, Y., Shen, S., & Mathieu, J. L. (2017). Distributionally robust chance-constrained optimal power flow with uncertain renewables and uncertain reserves provided by loads. IEEE Transactions on Power Systems, 32(2), 1378-1388. [LINK] 

Conference Proceedings

• Zhang, Y., Dong, J., Kuruganti, T., Shen, S., Xue, Y.. Distributionally robust building load control to compensate fluctuations in solar power generation. In American Control Conference (ACC), 2019 (pp. 5857-5863. ). IEEE. [LINK]

• Zhang, Y., Shen, S., Li, B., & Mathieu, J. L. (2017, June). Two-stage distributionally robust optimal power flow with flexible loads. In PowerTech, 2017 IEEE Manchester (pp. 1-6). IEEE [LINK] [PDF]

• Zhang, Y., Shen, S., & Mathieu, J. L. (2015, July). Data-driven optimization approaches for optimal power flow with uncertain reserves from load control. In American Control Conference (ACC), 2015 (pp. 3013-3018). IEEE. [LINK]