Research

Research Interests

• Methodologies: Stochastic Modeling and Optimization, Queueing Theory, Interpretable Machine Learning, Markov Decision Processes, Approximate Dynamic Programming
• Application Areas: Healthcare Operations, Public Health, Service Systems, Staffing and Scheduling

Working Papers

1. Multiclass Queue Scheduling Under Slowdown: An Approximate Dynamic Programming Approach [link]
   with Jing Dong and Vahid Sarhangian
   Minor Revision in Operations Research

2. Enhanced Tree-Based Learners for Forecasting Tasks
   with Mustafa G. Baydoğan and Ş. İlker Birbil
   In Progress

Journal Papers

1. Behaviorally-informed Strategies for Infectious Disease Mitigation: Balancing Incentives and Screening [link]
   with Ebru K. Bish, Douglas R. Bish and Sait Tunc
   Operations Research (2026)

2. A Novel Adaptive Testing Scheme for Multi-disease Testing [link]
   with Ebru K. Bish, Douglas R. Bish and Merve Bodur
   Operations Research (2026)
   Winner, 2025 INFORMS Public Service Operations Research (PSOR) Best Paper Competition

3. Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking [link]
   with Sean Berry, Sait Tunc and Mucahit Cevik
   Healthcare Management Science (2026)

4. Interpretable Machine Learning for Personalized Breast Cancer Screening Recommendations [link]
   with Sean Berry, Sait Tunc and Mucahit Cevik
   Healthcare Management Science (2026)

5. Prototype Forest in Multiple Instance Learning [link]
   with Ozgur E. Sivrikaya, Ali E. Banak and Mustafa G. Baydogan
   Knowledge-Based Systems (2026)

6. What Causes Delays in Admission to Rehabilitation Care? A Structural Estimation Approach [link]
   with Jing Dong and Vahid Sarhangian
   Manufacturing and Service Operations Management (2024)

7. Inventory Management with Advance Booking Information: The Case of Surgical Supplies and Elective Surgeries [link]
   with Jacky Chan and Vahid Sarhangian
   Manufacturing and Service Operations Management (2024)

8. Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve [link]
   with Erhan C. Ozcan and Mustafa G. Baydogan
   European Journal of Operational Reserach (2024)

9. Association between delayed discharge from acute care and rehabilitation outcomes and length of stay: a retrospective cohort study [link]
   with Jing Dong, Karen Hunter, Krista M. Bettio, Betty Vukusic, Jonathan Ranisau, Gary Spencer, Terence Tang, and Vahid Sarhangian
   Archives of Physical Medicine and Rehabilitation (2023)

10. A Newsvendor Approach to Design of Surgical Preference Cards [link]
    with Vahid Sarhangian
    Service Science (2022)

11. Randomized trees for time series representation and similarity [link]
    with Mustafa G. Baydogan
    Pattern Recognition (2021)

12. Explainable boosted linear regression for time series forecasting [link]
    with Igor Ilic, Mucahit Cevik and Mustafa G. Baydogan
    Pattern Recognition (2021)

13. A Data Adaptive Biological Sequence Representation for Supervised Learning[link]
    with Hande Cakin and Mustafa G. Baydogan
    Journal of Healthcare Informatics Research (2018)

Conference Publications

1. Augmented out-of-sample comparison method for time series forecasting techniques [link]
   with Igor Ilic and Mucahit Cevik
   Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13–15, 2020, Proceedings (2020)

2. An Adaptive Large Neighborhood Search Heuristic for Jointly Solving Storage Location Assignment and Picker Routing Problem [link]
   with Necati Aras
   Operations Research Proceedings 2018: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Brussels, Belgium, September 12-14, 2018 (2018)