Research Interests: Operations Research, Management Science, Large-Scale Optimization, Machine Learning for Operations Research, Optimization Proxies, Metaheuristics, Algorithm Configuration, Solvers

Publications

Published & Under Review

1. OCP Optimizes its Supply Chain for Africa

2. A Decomposition Matheuristic for the Transient Stability Constrained Unit Commitment at Hydro-Quebec

3. Primal Methods For Very Large-scale Optimization

4. Towards Resilience: Primal Large-scale Re-optimization

5. Incremental LNS Framework for Integrated Production, Inventory, and Vessel Scheduling: Application to a Global Supply Chain

6. MPILS: An Automatic Tuner for MILP Solvers

7. An Electric Vehicle Transitioning Framework for Public Fleet Planning

8. ID-PAS+: Identity-Aware Predict-and-Search for Solving General Mixed-Integer Linear Programs

9. The Primal Benders Decomposition

10. A Fair OR–ML Framework for Resource Substitution in Large-Scale Networks

11. Scheduling and Routing in the Flexible Job Shop with Heterogeneous Transbots and Zoning: A Constraint Programming Approach

12. A Rolling-Space Branch-and-Price Algorithm for the Multi-Compartment Vehicle Routing Problem with Multiple Time Windows

13. Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches

14. A Benders-based Branch-Price-and-Cut Algorithm for the Multi-Period Petrol Station Replenishment Problem

15. The Petrol Station Replenishment Problem: A Case Study from West Africa

16. Design of Electric Vehicles Charging Station Network

Working Papers

17. The Proxy Benders Decomposition

18. Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs

19. Contextual Adaptive Large Neighborhood Search for the Last-Mile Pickup and Delivery Problem with Freshness Constraints

20. Flexible Open Shop Scheduling with Freshness Requirements


(*: Equal Contribution)

Grants

From Prevention to Recovery: Managing Wildfires in a Changing Climate

Learning Decompositions: A Smart Approach to Large Problems

Decomposition Learning: An Intelligent Framework For Large Scale Optimization Problems

Supervision

Current Ph.D. Students

Current Undergraduate Interns

Former Ph.D. Interns

Former Undergraduate Interns