Publications:

• Natalie Randall*, Beste Basciftci. "Risk-Averse Contextual Predictive Maintenance and Operations Scheduling with Flexible Generation under Wind Energy Uncertainty", European Journal of  Operational Research,  2025, Vol. 327 (1), 174-190. 

  • INFORMS ENRE Early Career Best Paper Award (Runner-up), 2024. 

• Sezen Ece Kayacık*, Beste Basciftci, Albert H. Schrotenboer, Evrim Ursavas. "Partially Adaptive Multistage Stochastic Programming", European Journal of  Operational Research,  2025, Vol. 321 (1), 192-207.

• Beste Basciftci, Esra Koca, Sinan Emre Kosunda*. "Optimizing Strategic and Operational Decisions of Car Sharing Systems under Demand Uncertainty and Substitution", Computers & Operations Research, 2025, Vol. 180, 107052.

• Beste Basciftci, Shabbir Ahmed, Nagi Gebraeel. "Adaptive Two-stage Stochastic Programming with an Analysis on Capacity Expansion Planning Problem", Manufacturing & Service Operations Management, 2024, Vol. 26 (6), 2121-2141. 

• Hongzhao Guan*, Beste Basciftci, Pascal Van Hentenryck. "Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness", INFORMS Journal on Computing, 2024, Vol. 36 (6): 1359-1756.

• Bahar Okumusoglu*, Beste Basciftci, Burak Kocuk. "An Integrated Predictive Maintenance and Operations Scheduling Framework for Power Systems Under Failure Uncertainty", INFORMS Journal on Computing, 2024, Vol. 36 (5): 1147-1358.

• Yuang Chen*, Beste Basciftci, Valerie Thomas. "Chance-constrained Multi-stage Stochastic Energy System Expansion Planning  with Demand Satisfaction Flexibility", International Journal of Electrical Power and Energy Systems, 2024, Vol. 155, 109499. 

• Heraldo Rozas*, Beste Basciftci, Nagi Gebraeel. "Data-driven Joint Optimization of Maintenance and Spare Parts Provisioning for Deep Space Habitats: A Stochastic Programming Approach", Acta Astronautica, 2024, Vol. 214, 167-181.

• Beste Basciftci, Pascal Van Hentenryck. "Capturing Travel Mode Adoption in Designing On-demand Multimodal Transit Systems", Transportation Science, 2023, Vol. 57 (2): 351-375 . 

• Beste Basciftci, Xian Yu, Siqian Shen. "Resource Distribution under Spatiotemporal Uncertainty of Disease Spread: Stochastic versus Robust Approaches", Computers & Operations Research, 2023, Vol. 149, 106028.

• Yuang Chen*, Beste Basciftci, Valerie Thomas. "Multi-Stage Stochastic Electrification Planning under Demand Uncertainty", IEEE PES/IAS PowerAfrica, 2022, 1-5.

• Beste Basciftci, Shabbir Ahmed, Siqian Shen. "Distributionally Robust Facility Location Problem under Decision-dependent Stochastic Demand", European Journal of  Operational Research,  2021, Vol. 292 (2), 548-561.

• Beste Basciftci, Pascal Van Hentenryck. "Bilevel Optimization for On-Demand Multimodal Transit Systems", Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR),  2020, 52 - 68.

• Beste Basciftci, Shabbir Ahmed, Nagi Gebraeel. "Data-Driven Maintenance and Operations Scheduling in Power Systems under Decision-Dependent Uncertainty", IISE Transactions, 2020, Vol. 52 (6), 589-602.

  • IISE Transactions Best Paper Award in Focus Issue of Operations Engineering & Analytics, 2021.

  • Selected to be featured in Institute of Industrial & Systems Engineers (IISE) Magazine, 2020.

• Beste Basciftci, Shabbir Ahmed, Nagi Gebraeel, Murat Yildirim. "Stochastic Optimization of Generator Maintenance and Operations Schedules under Uncertain Failures", IEEE Transactions on Power Systems, 2018, Vol. 33 (6), 6755 - 6765. 

  • INFORMS ENRE  (Energy, Natural Resources and the Environment Section) Best Student Paper Award, 2018. 

Book Chapters:

• Beste Basciftci. "Distributionally Robust Optimization in Facility Location Problems", Encyclopedia of Optimization (third edition), 2023, In P. Pardalos and O. Prokopyev, editors, Springer International Publishing.

Preprints:

• Tinghan Ye*, Shuaicheng Tong*, Changkun Guan*, Beste Basciftci, Pascal Van Hentenryck. "Deep Learning-Driven Contextual Stochastic Optimization for Real-Time Order Fulfillment".

  • Accepted to NeurIPS 2025 ML×OR Workshop: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making.

• Natalie Randall*, Beste Basciftci. "Distributionally Robust Predictive Maintenance and Operations Scheduling Approaches with Storage under Multimodal Wind Energy Uncertainty".

• Suri Liu*, Yiling Zhang, Beste Basciftci, Wenyuan Wang. "Stochastic Bilevel Optimization for the Network Design of Multimodal Transit Systems with Heterogeneous Rider Preferences under Uncertain Travel Times and Demand".

• Hongzhao Guan*, Beste Basciftci, Pascal Van Hentenryck. "Bilevel Optimization and Heuristic Algorithms for integrating Latent Demand into the Design of Large-Scale Transit Systems".

• Yuang Chen*, Zhewei Li*, Beste Basciftci, Valerie Thomas. "Adaptive Two-stage Stochastic Energy Infrastructure Expansion Planning".

• Esra Koca, Beste Basciftci. "Quality of Service Metrics for Risk-Aware Car Sharing Operations with Substitution".

• Sezen Ece Kayacık*, Beste Basciftci, Albert H. Schrotoenboer, Iris F. A. Vis, Evrim Ursavas. "Hydrogen Network Expansion Planning considering the Chicken-and-egg Dilemma and Market Uncertainty".

• Sezen Ece Kayacık*, Albert H. Schrotoenboer, Iris F. A. Vis, Beste Basciftci, Evrim Ursavas. "Dual Sourcing of Green Hydrogen: Balancing Local Production with Stochastic Capacity and Import with Random Yield".

• Xian Yu, Beste Basciftci. "Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets".

*Graduate students.