Research

Research Interests

• Methodologies: Stochastic Programming, Robust Optimization, (Approximate) Dynamic Programming, Integer Programming, Combinatorial Optimization, Multiobjective Optimization, Inverse Optimization, Machine Learning
• Application Areas: Decision Making Under Uncertainty, Healthcare, Transportation, Telecommunication, Power Systems, Service Systems Staffing and Scheduling, Networks

Preprints

1. Incorporating Service Reliability in Multi-depot Vehicle Scheduling [link]
   M.P. Castro, M. Bodur, and A. Shalaby (2024)
2. Network Flow Models for Robust Binary Optimization with Selective Adaptability [link]
   M. Bodur, T. Chan, I. Zhu (2024)
3. A Comprehensive Stochastic Programming Model for Transfer Synchronization in Transit Networks [link]
   Z. Ansarilari, M. Bodur, and A. Shalaby (2024)
4. Dynamic AGV Task Allocation in Intelligent Warehouses [link]
   A. Dehghan, M. Cevik, and M. Bodur (2023)
5. Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem [link]
   A. Dehghan, M. Cevik, and M. Bodur (2023)
6. Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics [link]
   M.P. Castro, M. Bodur, and Y. Song (2023)
7. Two-stage and Lagrangian Dual Decision Rules for Multistage Adaptive Robust Optimization [link]
   M. Daryalal, A.N. Arslan, and M. Bodur (2023)
8. Data-driven Distributionally Robust Optimization: Intersecting Ambiguity Sets, Performance Analysis and Tractability [link]
   N. Tanoumand, M. Bodur, and J. Naoum-Sawaya (2023)
9. Copositive Duality for Discrete Energy Markets [link]
   C. Guo, M. Bodur, and J.A. Taylor (2023)
10. An Enhanced Approximate Dynamic Programming Approach to On-demand Ride Pooling [link]
    A. Dehghan, M. Cevik, and M. Bodur (2023)
11. A Feasibility Look to Two-stage Robust Optimization in Kidney Exchange [link]
    C. Riascos, M. Bodur, and D. Aleman (2023)
12. Stochastic Dynamic Lot-sizing with Supplier-Driven Substitution and Service Level Constraints [link]
    N. Sereshti, M. Bodur, and J. Luedtke (2022)
13. Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem [link]
    C. Guo, H. Nagarajan, and M. Bodur (2022)

Journal Papers

1. Approximate Dynamic Programming for Crowd-shipping with In-store Customers [link]
   K. Mousavi, M. Bodur, M. Cevik, and M.J. Roorda
   Transportation Research Part B (2024)
2. A Novel Model for Transfer Synchronization in Transit Networks and a Lagrangian-based Heuristic Solution Method [link]
   Z. Ansarilari, M. Bodur, and A. Shalaby
   European Journal of Operational Research (2024)
3. Leveraging Decision Diagrams to Solve Two-stage Stochastic Programs with Binary Recourse and Logical Linking Constraints [link]
   M. MacNeil, and M. Bodur
   European Journal of Operational Research (2023)
4. Multistage stochastic fractionated intensity modulated radiation therapy planning [link]
   M. Bodur, M. Cevik, A. Cire, M. Ruschin, J. Wang
   Computers and Operations Research (2023)
5. A Branch-and-Price Algorithm Enhanced by Decision Diagrams for the Kidney Exchange Problem [link]
   C. Riascos, M. Bodur, and D. Aleman
   Manufacturing & Service Operations Management (2023)
6. Routing and Wavelength Assignment with Protection: A Quadratic Unconstrained Binary Optimization Approach Enabled by Digital Annealer Technology [link]
   O. Şeker, M. Bodur, and H. Pouya
   IISE Transactions (2023)
7. Multiobjective optimization approaches for sector duration optimization problem in radiosurgery [link]
   O. Seker, M. Cevik, M. Bodur, Y. Lee, M. Ruschin
   INFORMS Journal on Computing (2022)
8. Lagrangian Dual Decision Rules for Multistage Stochastic Mixed Integer Programming [link]
   M. Daryalal, M. Bodur, and J. Luedtke
   Operations Research (2022)
9. Digital Annealer for Quadratic Unconstrained Binary Optimization: A Comparative Performance Analysis [link]
   O. Şeker, N. Tanoumand, and M. Bodur
   Applied Soft Computing (2022)
10. Optimization Helps Scheduling Nursing Staff at the Long-Term Care Homes of the City of Toronto [link]
    M. Anderson, M. Bodur, S. Rathwell, and V. Sarhangian
    INFORMS Journal of Applied Analytics (2022)
11. Stochastic RWA and Lightpath Rerouting in WDM Networks [link]
    M. Daryalal, and M. Bodur
    INFORMS Journal on Computing (2022)
12. Generation Expansion Planning with Revenue Adequacy Constraints [link]
    C. Guo, M. Bodur, and D. Papageorgiou
    Computers and Operations Research (2022)
13. Transfer Time Optimization in Public Transit Networks: Assessment of Alternative Models [link]
    Z. Ansarilari, M.M. Nesheli, M. Bodur, and A. Shalaby
    Transportmetrica A: Transport Science (2022)
14. Decomposition for loosely coupled integer programs: A multiobjective perspective [link]
    M. Bodur, S. Ahmed, N. Boland, and G. L. Nemhauser
    Mathematical Programming (2022)
15. Inverse Mixed Integer Optimization: Certificate Sets and Trust Region Methods [link]
    M. Bodur, T.C.Y. Chan, and I.Y. Zhu
    INFORMS Journal on Computing (2022)
16. On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies [link]
    J. Wang, M. Cevik, M. Bodur
    INFOR: Information Systems and Operational Research (2021)
17. Stochastic Last-mile Delivery with Crowd-shipping and Mobile Depots [link]
    K. Mousavi, M. Bodur, and M.J. Roorda
    Transportation Science (2022)
18. Constraint Programming Approaches to the Discretizable Molecular Distance Geometry Problem [link]
    M. MacNeil, and M. Bodur
    Networks (2022)
19. Network Models for Multiobjective Discrete Optimization [link]
    D. Bergman, M. Bodur, C. Cardohna, and A.A. Cire
    INFORMS Journal on Computing (2022)
20. Integer Programming, Constraint Programming, and Hybrid Decomposition Approaches to Discretizable Distance Geometry Problems [link]
    M. MacNeil, and M. Bodur
    INFORMS Journal on Computing (2022)
21. Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling [link]
    C. Guo, M. Bodur, D. Aleman, and D. Urbach
    INFORMS Journal on Computing (2021)
22. Two-Stage Linear Decision Rules for Multi-stage Stochastic Programming [link]
    M. Bodur, and J. Luedtke
    Mathematical Programming (2022)
23. Lower Bounds on the Lattice-free Rank for Packing and Covering Integer Programs [link]
    M. Bodur, A. Del Pia, S. S. Dey, and M. Molinaro
    SIAM Journal on Optimization (2019)
24. Integer Programming Formulations for Minimum Deficiency Interval Coloring [link]
    M. Bodur, and J. Luedtke
    Networks (2018)
25. Aggregation-based cutting-planes for packing and covering integer programs [link]
    M. Bodur, A. Del Pia, S.S. Dey, M. Molinaro, and S. Pokutta
    Mathematical Programming (2018)
26. A new lift-and-project operator [link]
    M. Bodur, S. Dash, and O. Gunluk
    European Journal of Operational Research (2017)
27. Cutting planes from extended LP formulations [link]
    M. Bodur, S. Dash, and O. Gunluk
    Mathematical Programming (2017)
28. Strenghtened Benders Cuts for Stochastic Integer Programs with Continuous Recourse [link]
    M. Bodur, S. Dash, O. Gunluk, and J. Luedtke
    INFORMS Journal on Computing (2016)
29. Mixed-Integer Rounding Enhanced Benders Decomposition for Multiclass Service System Staffing and Scheduling with Arrival Rate Uncertainty [link]
    M. Bodur, and J. Luedtke
    Management Science (2016)
30. Decomposition Algorithms for Solving the Minimum Weight Maximal Matching Problem [link]
    M. Bodur, T. Ekim, and Z. C. Taşkın
    Networks (2013)

Conference Publications

1. Extraboard Transit Operator Planning and Scheduling under Uncertainty
   J. Song, A. Shalaby, M. Bodur
   CD Proceedings of the 103th Annual Transportation Research Board Meeting (2024)
2. Neur2SP: Neural Two-Stage Stochastic Programming [link]
   J. Dumouchelle, R. Patel, E.B. Khalil, and M. Bodur
   Proceedings of the 36th Annual Conference on Advances in Neural Information Processing Systems (NeurIPS) (2022)
3. Time series sampling for probabilistic forecasting [link]
   N. Prayogo, M. Cevik, M. Bodur
   Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering (2020)
4. Improving Transfer Time Optimization Modelling for Public Transit Systems
   Z. Ansarilari, M. M. Nesheli, M. Bodur, A. Shalaby, and S. Srikukenthiran
   CD Proceedings of the 99th Annual Transportation Research Board Meeting (2020)
5. Multi-Directional Transfer Time Optimization at a Single Transfer Node
   Z. Ansarilari, M. M. Nesheli, S. Srikukenthiran, M. Bodur, and A. Shalaby
   CD Proceedings of the 14th Conference on Advanced Systems for Public Transport (2018)

Data and Online Supplements

• Data for paper “Strenghtened Benders Cuts for Stochastic Integer Programs with Continuous Recourse”, by Bodur, Dash, Gunluk and Luedtke, 2017: [STOCHIPCUTS]
• Data for paper “Integer Programming Formulations for Minimum Deficiency Interval Coloring”, by Bodur and Luedtke, 2018: [MINDEF]
• Data for paper “Integer Programming, Constraint Programming, and Hybrid Decomposition Approaches to Discretizable Distance Geometry Problems”, by MacNeil and Bodur, 2019: [MINDOUBLE]
• Data for paper “Constraint Programming Approaches to the Discretizable Molecular Distance Geometry Problem”, by MacNeil and Bodur, 2019: [DMDGP]
• Data for paper “Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, by Guo, Bodur, Aleman and Urbach, 2020: [SDORS]

Supervision

• Current supervisees:
  • Juan Valencia, Ph.D. student, University of Edinburgh
  • Buket Ozen, Ph.D. student, University of Edinburgh (co-supervisor: Prof. Alper Yildirim)
  • Moira MacNeil, Ph.D. student, University of Toronto (co-supervisor Prof. Antoine Deza)
  • Zoha Sherkat-Masoumi, Ph.D. student, University of Toronto
  • Haoyuan Xue, Ph.D. student, University of Toronto
  • Jilin Song, Ph.D. student, University of Toronto (co-supervisor: Prof. Amer Shalaby)
  • Arash Dehghan, Ph.D. student, Toronto Metropolitan University (co-supervisor: Prof. Mucahit Cevik)
• Former supervisees:
  • Ph.D. students (and graduation years): Cheng Guo (2021), Zahra Ansarilari (2022, co-supervisor: Prof. Amer Shalaby), Maryam Daryalal (2022), Kianoush Mousavi (2022, co-supervisor: Prof. Matthew J. Roorda), Narges Sereshti (2022, visiting PhD student), Lizeth Carolina Riascos Alvarez (2023, co-supervisor: Prof. Dionne Aleman), Ian Zhu (2023, co-supervisor: Prof. Timothy Chan)
  • M.A.Sc. students (and graduation years): Stefana Filipova (2018, co-supervisor: Prof. Chris Beck), Moira MacNeil (2019), Juyoung Wang (2021, co-supervisor: Prof. Mucahit Cevik), Manion Anderson (2021, co-supervisor: Prof. Vahid Sarhangian), Neda Tanoumand (2022, co-supervisor: Prof. Joe Naoum-Sawaya)
  • Postdoctoral fellows: Hamed Pouya (2019-2020), Margarita Castro (2020-2021), Oylum Seker (2019-2022)
  • Senior undergraduate students (and graduation years): Anna Deza (2020), Haoyuan Xue (2022), Lorna Licollari (2023), Daniel Deza (2024)