A Fair OR–ML Framework for Resource Substitution in Large-Scale Networks.
Mohan, Er Raqabi, Van Hentenryck. Transportation Science (major revision), Nov 2025.
(PDF) A fairness-aware OR + ML framework for resource substitution in large logistics networks, applied to a major package carrier.
In progress
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches.
Ye, Deza, Mohan, Er Raqabi, Van Hentenryck. arXiv preprint, May 2026.
(PDF) An LLM-driven agentic framework that lets end users re-optimize deployed OR models via natural language.