My previous research includes modeling and developing algorithms (both exact and heuristic) for Vehicle Routing Problems (VRPs), especially in the context of alternative fuel vehicles (e.g., Electric VRP with Time Windows and Partial Recharges), where fuel consumption and refueling stations are both included in the routing models. I have also studied Resource Allocation Problems where decision makers wish to (re-)allocate input resources among several decision-making units (e.g., supermarkets, restaurants) to maximize total outputs (e.g., profit, sales) and/or minimize total inputs.

Currently, I am working on discrete multi-stage decision-making problems under endogenous uncertainty, specifically problems that are represented as Limited Memory Influence Diagrams (LIMIDS) (Lauritzen & Nilsson, 2001). Our Decision Programming framework proposes a novel mixed-integer linear programming formulation for discrete multi-stage decision problems represented as LIMIDs. Future plans include developing decomposition algorithms for solving large instances to optimality.